\n\t<\/p>
\n\tInstructor: P\u00e4rtel Lippus, University of Tartu\n<\/p>\n
\n\tAssistant: Anton Malmi,\u00a0University of Tartu\n<\/p>\n
\n\tDate: 21.08.\n<\/p>\n
\n\t\u00a0\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop takes you through the first steps in the command-line based statistical computing program R. We will go through the basic syntax of R. We will learn how to get your data into R, weather it is tables or text, how to observe the data with R and how to get your observations out from R. We will be using R with RStudio software. Previous experience with R is not needed for participating. This workshop is highly recommended for everyone who has no previous experience with R, but is planning on participating in other workshops which use R.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tP\u00e4rtel Lippus<\/strong> has a background in experimental phonetics. He has studied the acoustics and the perception of Estonian prosody. His PhD (2011) was on the Estonian three-way quantity system. He has used R for quantitative data analysis and plotting, but also for formatting a text database. He has taught basic R courses at the University of Tartu.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Measuring and analyzing opinions with SentiStrength \u2013\u00a0Mike Thelwall<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will give an overview of sentiment analysis methods and tools and will then describe how to use and customise the multilingual sentiment analysis software SentiStrength. No prior knowledge is needed other than experience of using computer programs. Experience with at least one social web site and knowledge of linguistic issues related to language would be an advantage. Prior programming experience is not needed. The workshop will describe how to use SentiStrength to estimate the strength of sentiment in large sets of short or medium length social web texts. The customisation part will show how to develop new languages for SentiStrength and to optimise it for sets of texts expressing sentiment in non-standard or specialised ways.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tThis workshop takes you through the first steps in the command-line based statistical computing program R. We will go through the basic syntax of R. We will learn how to get your data into R, weather it is tables or text, how to observe the data with R and how to get your observations out from R. We will be using R with RStudio software. Previous experience with R is not needed for participating. This workshop is highly recommended for everyone who has no previous experience with R, but is planning on participating in other workshops which use R.\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tP\u00e4rtel Lippus<\/strong> has a background in experimental phonetics. He has studied the acoustics and the perception of Estonian prosody. His PhD (2011) was on the Estonian three-way quantity system. He has used R for quantitative data analysis and plotting, but also for formatting a text database. He has taught basic R courses at the University of Tartu.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Measuring and analyzing opinions with SentiStrength \u2013\u00a0Mike Thelwall<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will give an overview of sentiment analysis methods and tools and will then describe how to use and customise the multilingual sentiment analysis software SentiStrength. No prior knowledge is needed other than experience of using computer programs. Experience with at least one social web site and knowledge of linguistic issues related to language would be an advantage. Prior programming experience is not needed. The workshop will describe how to use SentiStrength to estimate the strength of sentiment in large sets of short or medium length social web texts. The customisation part will show how to develop new languages for SentiStrength and to optimise it for sets of texts expressing sentiment in non-standard or specialised ways.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tP\u00e4rtel Lippus<\/strong> has a background in experimental phonetics. He has studied the acoustics and the perception of Estonian prosody. His PhD (2011) was on the Estonian three-way quantity system. He has used R for quantitative data analysis and plotting, but also for formatting a text database. He has taught basic R courses at the University of Tartu.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Measuring and analyzing opinions with SentiStrength \u2013\u00a0Mike Thelwall<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will give an overview of sentiment analysis methods and tools and will then describe how to use and customise the multilingual sentiment analysis software SentiStrength. No prior knowledge is needed other than experience of using computer programs. Experience with at least one social web site and knowledge of linguistic issues related to language would be an advantage. Prior programming experience is not needed. The workshop will describe how to use SentiStrength to estimate the strength of sentiment in large sets of short or medium length social web texts. The customisation part will show how to develop new languages for SentiStrength and to optimise it for sets of texts expressing sentiment in non-standard or specialised ways.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will give an overview of sentiment analysis methods and tools and will then describe how to use and customise the multilingual sentiment analysis software SentiStrength. No prior knowledge is needed other than experience of using computer programs. Experience with at least one social web site and knowledge of linguistic issues related to language would be an advantage. Prior programming experience is not needed. The workshop will describe how to use SentiStrength to estimate the strength of sentiment in large sets of short or medium length social web texts. The customisation part will show how to develop new languages for SentiStrength and to optimise it for sets of texts expressing sentiment in non-standard or specialised ways.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tThis workshop will give an overview of sentiment analysis methods and tools and will then describe how to use and customise the multilingual sentiment analysis software SentiStrength. No prior knowledge is needed other than experience of using computer programs. Experience with at least one social web site and knowledge of linguistic issues related to language would be an advantage. Prior programming experience is not needed. The workshop will describe how to use SentiStrength to estimate the strength of sentiment in large sets of short or medium length social web texts. The customisation part will show how to develop new languages for SentiStrength and to optimise it for sets of texts expressing sentiment in non-standard or specialised ways.\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Social Network Analysis \u2013\u00a0Rajesh Sharma<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n\n\tDate: 21.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tInstructor: Rajesh Sharma, University of Tartu\n<\/p>\n
\n\tAssistant: Gopichand Gopini, University of Tartu\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tThe aim of the workshop is to get familiar with the concepts of 1) social network\/media analysis and text analytics domains and 2) Discussion of various applications, where these techniques have their applications, 3) Algorithms for solving various problems in these domains which can handle massive data, 4) hands on session to get familiar with some tools, which can be used for analytics. Some case studies and examples will be discussed for introducing network science concepts. This is a hands-on session using R and Gephi.\n<\/p>\n
\n\tBackground of students: 1) Some background in R would be preferred (but not necessary) and 2) Bring your laptop (if the workshop does not provides the computers\/laptops) with R Installation (We can send a small help in installation of R, before the starting of the summer school).\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tRajesh Sharma<\/strong> joined Institute of Computer Science at the University of Tartu as a Senior Researcher in August 2017. From Jan 2014 to July 2017, he has held Research Fellow and postdoc positions at the University of Bristol, Queen\u2019s University Belfast, UK and the University of Bologna, Italy. Prior to that, he completed his PhD from Nanyang Technological University, Singapore in December 2013. He has also worked in IT industry for about 2.5 years after completing his Masters from Indian Institute of Technology (IIT), Roorkee, India.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\t\n \n \n Social media for data analytics with Mozdeh \u2013 Mike Thelwall<\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Mike Thelwall, University of Wolverhampton\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tDate: 22.08.\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tThis workshop will describe how to use the Windows software tool Mozdeh to gather and analyse posts from the social web sites Twitter and YouTube. There are no formal prerequisites other than experience of using computer programs. Familiarity with Microsoft Windows would be an advantage, as would experience of using Twitter and YouTube. The workshop will describe how to harvest tweets in real time using keyword searches and how to download the tweets from individual users. It will also show how the comments on sets of videos or video channels can be downloaded from YouTube. The workshop will introduce a range of analytics techniques, including word association mining, sentiment and gender detection. It will also demonstrate how to create time series graph and network from the data.\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tMike Thelwall<\/strong> is Professor of Information Science and leader of the Statistical Cybermetrics Research Group at the University of Wolverhampton, which he joined in 1989. He is also Docent at the Department of Information Studies at \u00c5bo Akademi University, and a research associate at the Oxford Internet Institute. His PhD was in Pure Mathematics from the University of Lancaster. His current research field includes identifying and analysing web phenomena using quantitative-led research methods, including altmetrics and sentiment analysis, and has pioneered an information science approach to link analysis. Mike has developed a wide range of tools for gathering and analysing web data, including hyperlink analysis, sentiment analysis and content analysis for Twitter, YouTube, MySpace, blogs and the web in general. His 400+ publications include 244 refereed journal articles and two books, including Introduction to Webometrics. He is an associate editor of the Journal of the Association for Information Science and Technology and sits on three other editorial boards. For more information, see: http:\/\/www.scit.wlv.ac.uk\/~cm1993\/mycv.html<\/a><\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/strong><\/p>\n\n\t<\/p>\n \n \n Understanding Internet Paralanguages through Content Analyses \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 22.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n
\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tAs new platforms and technologies emerge, young people are inventing innovative ways to express ideas and communicate with their peers using mixed media on the internet. Most prominently, internet paralanguages that draw on non-lexical visual cultures are flourishing in mainstream, subcultural, and countercultural internet communities. They have been used to communicative sensitive information across networks under the radar of authoritarian censors during global social movements, and situated to demonstrate different coded meanings for different audiences by prominent internet users such as Influencers. In this session, participants will explore some of these internet paralanguages, and draw from their personal experiences of these communicative symbols. Through brief case studies, the session will demonstrate how we can systematically track and understand the emergence of internet paralanguages through ethnographic methods. Participants will be invited to apply the methodologies on their chosen case study for sharing with the class in short flash lectures, and work in small groups to produce a short experimental film using only social media apps.\n<\/p>\n
\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\t-Ask, Kristine, and Crystal Abidin. 2018. \u201cMy life is a mess: Self-deprecating relatability and collective identities in the memification of student issues.\u201d Information, Communication and Society. http:\/\/www.tandfonline.com\/eprint\/rf6nmFYkMWwSsnwss5T3\/full<\/a>\n<\/p>\n\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\t-Highfield, Tim. 2016. \u201cWaiving (hash)flags: Some thoughts on Twitter hashtag emoji.\u201dMedium.com. OA: https:\/\/medium.com\/dmrc-at-large\/waiving-hash-flags-some-thoughts-on-twitter-hashtag-emoji-bfdcdc4ab9ad#.vczn6qfgl<\/a>\n<\/p>\n\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Miltner, Kate M. 2014. \u201cThere\u2019s no place for lulz on LOLCats: The role of genre, gender, and group identity in the interpretation and enjoyment of an Internet meme.\u201d First Monday 19(8). OA: http:\/\/firstmonday.org\/ojs\/index.php\/fm\/article\/view\/5391\/4103<\/a>\n<\/p>\n\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\t-Stark, Luke, and Kate Crawford. 2015. \u201cThe Conservatism of Emoji: Work, Affect, and Communication.\u201d Social Media + Society Journal 1(2). OA: http:\/\/sms.sagepub.com\/content\/1\/2\/2056305115604853.full<\/a>\n<\/p>\n\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\t-Willard, Lesley. 2016. \u201cTumblr\u2019s Gif Economy: The Promotional Function of Industrially Gifted Gifsets.\u201d Flowjournal.org. OA: http:\/\/www.flowjournal.org\/2016\/07\/tumblrs-gif-economy\/<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Counting Words and Detecting Themes with Python: Corpus Linguistics and Topic Modelling Approaches \u2013 Yin Yin Lu<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n
\n\tInstructor: Yin Yin Lu, Oxford Internet Institute, Balliol College (University of Oxford)\n<\/p>\n
\n\tAssistant: Kristiina Vaik, University of Tartu\n<\/p>\n
\n\tDates: 22.-23.08.\u00a0NB!<\/strong>\u00a0Remember to register for both days of the workshop!<\/span>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tDescription<\/strong>\n<\/p>\n\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tThe goal of this two-day<\/strong> workshop is twofold: 1) to demonstrate how Python\u2019s Natural Language Toolkit (NLTK) library<\/a> can be used to analyse large volumes of textual data, and 2) to empirically detect themes in this data through topic modelling. We will begin by exploring fundamental corpus linguistics functions using NLTK: tokenisation, frequency distributions of keywords, part-of-speech tagging, n-grams, and collocations. This will allow for a descriptive understanding of the corpus (word categories and counts), which sets the stage for the detection of themes.\n<\/p>\n\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tA \u2018theme\u2019 is essentially a collection of words; topic models assign themes to documents based upon the co-occurrences of words in the documents. They operate under a na\u00efve \u2018bag of words\u2019 assumption: a document is defined by the distribution of its vocabulary across various themes; syntax (and thereby context) is not taken into consideration. That being said, this na\u00efve model can generate powerful insights about a corpus of text that instigate further qualitative analyses. In this workshop, the canonical topic model \u2018Latent Dirichlet Allocation\u2019 (LDA) will be introduced. Results will be visualised through bar charts and the interactive pyLDAvis library<\/a>.\n<\/p>\n\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tTo attend and fully benefit from this workshop, participants should have basic knowledge of the programming language Python and its ecosystem, and should bring laptops equipped with Python 3.6 or higher. Installation through the Anaconda distribution (https:\/\/www.continuum.io\/<\/a>) is highly recommended, as it bundles together a range of open-source Python packages and libraries used in data analysis and scientific computing\u2014including Jupyter Notebook, the web application that we will be using in the workshop to run our code. Alternatively, Python can be installed through a binary installer from the Python Software Foundation (https:\/\/www.python.org\/<\/a>), or through an operating system\u2019s package manager (e.g., apt on Debian Linux and homebrew on macOS).\n<\/p>\n\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tAs noted above, it is essential that participants download not only Python 3.6 or higher, but also Jupyter Notebook (which is included in the Anaconda distribution). A very useful Quick Start Guide can be found here: https:\/\/jupyter-notebook-beginner-guide.readthedocs.io\/en\/latest\/install.html<\/a>. Participants who are unfamiliar with Jupyter should watch this 30-minute YouTube tutorial prior to the workshop: https:\/\/www.youtube.com\/watch?v=HW29067qVWk<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. 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\n\tYin Yin Lu is a final-year DPhil (PhD) Candidate at the Oxford Internet Institute<\/a> and Balliol College (University of Oxford). She researches persuasion in the context of new media, focusing specifically on the rhetoric and resonance of Brexit tweets. Her multi-strategy design encompasses qualitative text analysis, multivariate regressions, semi-structured trace interviews, and natural language processing algorithms. She convenes the #SocialHumanities network<\/a> at The Oxford Research Centre in the Humanities (TORCH), blogs from perrinewynkel.blogspot.co.uk<\/a>, tweets from @Yinneth<\/a>, and is a media commentator on online propaganda.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Understanding Internet Celebrities through Digital Ethnography \u2013 Crystal Abidin<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Crystal Abidin, J\u00f6nk\u00f6ping University\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tDate: 23.08.\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tThe demand of the market today is that we present our online selves as consistent and recognizable, and easy to locate. In the climate of the \u201cattention economy\u201d that demands the public and constant sharing of our own lives and the consuming of others\u2019, internet celebrities and Influencers are perhaps the epitome of living on the internet. But how can we best study such internet-native phenomenon? Are traditional ethnographic methods rooted in anthropological tenets still relevant? In this session, we will learn the basics of conducting digital ethnography, such as participant observation in digital spaces, immersion within online communities, connecting discursive and semiotic threads through grounded theory, and applying content analysis to a viable sample of visual media. We will hone our skills in these methods through the vehicle of internet celebrities, in a lecture that introduces to a brief history of internet celebrity culture, and interrogates the different forms of internet celebrity around the world. You are required to actively engage in our class discussion, and identify and take notes on the celebrity strategies presented in the lecture. Are there patterns pertaining to different persons, cultures, and societies? Participants will be invited to apply the concepts from the class to formulate their own DIY internet celebrity in small groups using the methodologies of digital ethnography.\n<\/p>\n
\n\tReading list<\/strong> (please read any two):\n<\/p>\n\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Abidin, Crystal. 2016. \u201cAren\u2019t these just young, rich women doing vain things online?: Influencer selfies as subversive frivolity.\u201d Social Media + Society 2(2): 1-17. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305116641342<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Abidin, Crystal. 2017. \u201c#familygoals: Family Influencers, Calibrated Amateurism, and Justifying Young Digital Labour.\u201d Social Media + Society 3(2): 1-15. http:\/\/journals.sagepub.com\/doi\/full\/10.1177\/2056305117707191<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Abidin, Crystal. 2017. \u201cVote for my selfie: Politician selfies as charismatic engagement.\u201d Pp. 75-87 in Selfie Citizenship, edited by Adi Kuntsman. London: Palgrave Pivot. https:\/\/www.academia.edu\/24830965\/Abidin_Crystal._2017._Vote_for_my_selfie_Politician_selfies_as_charismatic_engagement._Pp._75-87_in_Selfie_Citizenship_edited_by_Adi_Kuntsman._London_Palgrave<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Abidin, Crystal. 2017. \u201cSex Bait: Sex talk on commercial blogs as informal sexuality education.\u201d Pp. 493-508 in Palgrave Handbook of Sexuality Education, edited by Louisa Allen and Mary Lou Rasmussen. London: Palgrave Macmillan. DOI: 10.1057\/978-1-137-40033-8_24 https:\/\/www.academia.edu\/16152332\/Abidin_Crystal._2017._Sex_Bait_Sex_talk_on_commercial_blogs_as_informal_sexuality_education._Pp._493-508_in_Palgrave_Handbook_of_Sexuality_Education_edited_by_Louisa_Allen_and_Mary_Lou_Rasmussen._London_Palgrave_Macmillan<\/a>\n<\/p>\n\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t-Abidin, Crystal. 2017. \u201cInfluencer Extravaganza: A decade of commercial \u2018lifestyle\u2019 microcelebrities in Singapore.\u201d Pp. 158-168 in Routledge Companion to Digital Ethnography, edited by Larissa Hjorth, Heather Horst, Genevieve Bell, and Anne Galloway. London: Routledge. https:\/\/www.academia.edu\/24831144\/Abidin_Crystal._2017._Influencer_Extravaganza_A_decade_of_commercial_lifestyle_microcelebrities_in_Singapore._Pp._158-168_in_Routledge_Companion_to_Digital_Ethnography_edited_by_Larissa_Hjorth_Heather_Horst_Genevieve_Bell_and_Anne_Galloway._London_Routledge<\/a>\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tCrystal Abidin is an anthropologist and ethnographer who researches internet culture and young people\u2019s relationships with internet celebrity, self-curation, and vulnerability. She is presently authoring two monographs on the history of blogshops and the Influencer industry. She obtained her PhD in Social Sciences (Anthropology & Sociology, Media & Communications) in 2016 from the University of Western Australia. Crystal is Postdoctoral Fellow with the Media Management and Transformation Centre (MMTC) at J\u00f6nk\u00f6ping University, Researcher with Handelsr\u00e5det (Swedish Retail and Wholesale Development Council), and Adjunct Researcher with the Centre for Culture and Technology (CCAT) at Curtin University. Crystal\u2019s forthcoming book, Internet Celebrity: Understanding Fame Online (Emerald Publishing, 2018) critically analyzes the contemporary histories and impacts of internet-native celebrity today. Reach her at wishcrys.com.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Mobile data collection methods \u2013 Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 23.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n
\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n
\n\tDescription<\/strong>\u00a0\n<\/p>\n\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tIt is characteristic to the modern network and information society that we meet data everywhere and very often the data is big. Big data could be a co-product of some other ICT service: every usage of ICT produces a large amount of data. This data describes the usage of certain services, but can also talk about the user (frequency, location etc). In this workshop, we are going to look how the mobile data collection was used in previous times, how it is used today and what might bring the nearest future. Today, the mobile data collection is a very useful toolbox for mobility analysis. Hereby we try to \u201cmake friends\u201d with several different datasets (mobile positioning, GPS-positioning, crimes etc). The main aim is to introduce the participants with the nature of mobile data, its applications and prospects as well as the disadvantages and shortcomings.\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Principles of scientific visualization \u2013\u00a0Anto Aasa<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Anto Aasa, University of Tartu\n<\/p>\n\n\tAssistant: Pilleriine Kamenjuk, University of Tartu\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tDate: 24.08.\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n\n\n\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tVisualization is powerful tool to present information quickly and clearly. In current workshop overview about principles of scientific visualization is given. We look back in time to explore some important milestones in visualization history (good and bad examples).\n<\/p>\n
\n\tThen we start with the practical work. For this some software has to be installed in participant computer:\n<\/p>\n
\n\t\t\tR is a free software environment for statistical computing and graphics (link<\/a>).\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tRStudio is the premier integrated development environment for R (link<\/a>).\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n\n\n\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tDuring the practical work we try to find answers to several questions:\n<\/p>\n
\n\t\t\tWhy and when we should visualize our data?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tShould we follow the traditional visualization language?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tHow to visualize different data types?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tHow to visualize volume, dynamics, trends, relationships?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tWhat about time?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tHow to put data on map?\n\t\t<\/p>\n<\/li>\n
\n\t\t\tWhen it is good to use interactive visualizations or animations?\n\t\t<\/p>\n<\/li>\n<\/ul>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tAnto Aasa is a Research Fellow in Human Geography at University of Tartu. Profile on\u00a0Estonian Research Information System<\/a>.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n P<\/strong>ractical introduction to Spatial Humanities with R \u2013\u00a0N\u00e9h\u00e9mie Strupler<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n\n\tDate: 24.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tInstructor: N\u00e9h\u00e9mie Strupler, Walter Benjamin Kolleg (University of Bern)\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tSpatial data are everywhere: on television, in newspapers, in books, on computer screens, on mobile devices, and on plain paper maps. Researchers have nowadays a chance to fetch, mix and scrap spatial data from archives and online repositories in order to address and represent global problems. However, making a map that is suited to its purpose and does not distort the underlying data unnecessarily is not easy. In learning how to use GIS (Geospatial Information Systems) for Spatial Humanities, this workshop aims at providing the basics to independently analyse and represent spatial data.\n<\/p>\n
\n\tThis workshop is an introduction to analysing spatial data in R, specifically through the making of map with R and various dedicated packages for R. It will teach the basics of using R as a fast and powerful command-line Geographic Information System that can be integrated with other software (like QGIS).\n<\/p>\n
\n\tThe workshop is practical: you will learn how to use the software, load, manipulate, and visualise spatial data, but you will also have a better overview about where and how to find spatial data for your research. No prior knowledge of R or spatial data analysis is required but some experience with R will help.The workshop is a mixture of lectures and hands-on sessions. A personal laptop is needed.\n<\/p>\n
\n\tSoftware:<\/strong>\n<\/p>\n\n\n\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tR (a detailed list of specific packages to install will be provided to participants beforehand)\n\t\t<\/p>\n<\/li>\n
\n\t\t\tQGIS\n\t\t<\/p>\n<\/li>\n<\/ul>\n
\n\tReading list:<\/strong>\n<\/p>\n\n\n\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tJo Guldi, \u201cWhat is the Spatial Turn?\u201d, Spatial Humanities, http:\/\/spatial.scholarslab.org\/spatial-turn\/what-is-the-spatial-turn\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tIt may be worth following an introductory tutorial for R, such as: Robert Hijmans, \u201cIntroduction to R\u201d (http:\/\/rspatial.org\/intr\/index.html<\/a>); Chapter 1 and 2 of \u201cR for Data Science\u201d from Garrett Grolemund & Hadley Wickham (http:\/\/r4ds.had.co.nz\/<\/a>) or the official \u201cIntroduction to R\u201d (https:\/\/cran.r-project.org\/manuals.html<\/a>)\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tN\u00e9h\u00e9mie Strupler<\/strong> has a PhD in Near Eastern Archaeology jointly at the University of Strasbourg and at the University of M\u00fcnster (2016). Before coming to Tartu, N\u00e9h\u00e9mie was a Postdoctoral Fellow at the Walter Benjamin Kolleg (University of Bern) and at ANAMED (Ko\u00e7 University). From 2014-2016 he served as IT Officer for the Istanbul Branch of the German Archaeological Institute and managed geospatial data from archaeological excavation. He was trained as an Archaeologist, but at this point, his research is as much about Data Science and Digital Humanities as Archaeology. N\u00e9h\u00e9mie is an Open Science and Free Software advocate and he is enthusiastic about developing theory and methods capable of exploring data through open and reproducible standards.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Multivariate models in analyzing data \u2013\u00a0Natalia Levshina<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tInstructor: Natalia Levshina, Leipzig University\n<\/p>\n
\n\tAssistant: Maarja-Liisa Pilvik, University of Tartu\n<\/p>\n
\n\tDates: 24.-25.08.\u00a0NB!\u00a0<\/strong>Remember to register for both days of the workshop!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tDescription<\/strong>\n<\/p>\n\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tIn this two-day<\/strong> hands-on workshop the participants will learn how to fit the statistical models with R, perform diagnostics and interpret the results. \u00a0It will cover the following topics:\n<\/p>\n\n\n\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tdichotomous\/binomial logistic models with fixed and mixed effects,\n\t\t<\/p>\n<\/li>\n
\n\t\t\tpolytomous\/multinomial logistic models,\n\t\t<\/p>\n<\/li>\n
\n\t\t\tgeneralized additive models,\n\t\t<\/p>\n<\/li>\n
\n\t\t\tintroduction to Bayesian inference and logistic regression.\n\t\t<\/p>\n<\/li>\n<\/ul>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Distant Reading by Stylometry \u2013\u00a0Jan Rybicki<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tNatalia Levshina\u00a0is an experienced teacher of statistics and quantitative linguistics, who has been teaching courses on different statistical topics at European universities and international summer and winter schools for advanced students. She obtained her PhD at the University of Leuven (Belgium) and is working as a corpus linguist in the ERC-funded project \u201cGrammatical Universals\u201d at Leipzig University at the moment. She has published a popular manual on statistics for linguists \u201cHow to Do Linguistics with R: Data exploration and statistical analysis\u201d (2015).<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n
\n\tInstructor: Jan Rybicki, Jagiellonian University\n<\/p>\n
\n\tDate: 25.08.\n<\/p>\n
\n\tDescription<\/strong>\n<\/p>\n\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n\n\n\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tThis workshop is aimed at introducing participants to the field of stylometry. An introductory lecture in the morning will show the main tenets and methods of the field, together with examples of research in authorship attribution and distant reading. In the following hands-on workshop, the participants will be acquainted with stylo, a package for the statistical programming environment R. This package is a way to avoid R\u2019s steep learning curve so that humanists can easily perform advanced quantitative analyses of texts. While stylo has its own built-in visualization tools, the second part of the workshop will also introduce gephi, a piece of network analysis software. In the afternoon session, the participants will be able to perform their first own analyses on their own collections of texts or on those provided for them, beginning with inputting electronic texts through tokenization, distance measure calculation, cluster analysis, all the way to various modes of visualization. No programming skills are required!\n<\/p>\n
\n\tIf the participants wish to work on their own computers, they are strongly recommended to download and install R and gephi (and check if they are functioning correctly on their computers).\n<\/p>\n
\n\t\t\tR: https:\/\/cran.r-project.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tGephi: https:\/\/gephi.org\/<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\tDownload link for sample text collection for first analysis: https:\/\/1drv.ms\/u\/s!AjWxtkrEXCa7hPVFz9Aw1AKGsNrvkA<\/a>\n\t\t<\/p>\n<\/li>\n<\/ol>\n\n\t\u00a0\n<\/p>\n\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tIf the participants plan to try out the new methods on their own texts, these should be in plain text (.txt) format, UTF-8 encoded. Preferably, the file names should follow the pattern: author_title_date.txt (keep the underscores). It makes sense to bring texts by at least five authors, at least two texts each (from short story to novel or full piece of drama).\n<\/p>\n
\n\tReading list:<\/strong>\n<\/p>\n\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tRybicki, J., Eder, M., Hoover, D. \u201cComputational Stylistics and Text Analysis.\u201d In Doing Digital Humanities. Practice, Training, Research. Eds Crompton, C., Lane, R.J., Siemens, R. Oxford: Routledge, 2016, 123-144. A preprint version will can be sent to participants on request.\n<\/p>\n
\n\tA number of preprint versions of stylometric papers is available at https:\/\/sites.google.com\/site\/computationalstylistics\/<\/a>. The following might be of particular interest:\n<\/p>\n\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Eder_Does_Size_Matter_DigHum2010.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/m-eder_visualization_in_stylometry.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n\n\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\t\t\thttps:\/\/sites.google.com\/site\/computationalstylistics\/papers-and-articles\/preprints\/Rybicki%20Difference%20preprint.pdf?attredirects=0&d=1<\/a>\n\t\t<\/p>\n<\/li>\n<\/ul>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tJan Rybicki<\/strong> is Assistant Professor at the Jagiellonian University in Krak\u00f3w, Poland. He has written extensively on the application of quantitative methods in the study of literature, tracing the stylometric signals of authors, translators, genres and genders in literary texts in several languages. Together with Maciej Eder and Mike Kestemont, he is a co-author of the \u201cstylo\u201d package for R, which has become a well-known tool of stylometric analysis. He is also an active literary translator; he has translated some 30 novels from English to Polish by such authors as John le Carre, Kazuo Ishiguro or William Golding.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n\t<\/p>\n \n \n Intertextual analysis of social media \u2013\u00a0Katrin Tiidenberg<\/strong><\/button>\n <\/h2>\n \n \n\n\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tInstructor:\u00a0Katrin Tiidenberg, Aarhus University \/\u00a0<\/span>Talllinn University\n<\/p>\n\n\tDate: 25.08.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n\n\t\u00a0\n<\/p>\n\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tHow to study moving targets? In a flow of other moving targets? These are increasingly pertinent questions for those of us studying social media. In this workshop we\u2019ll discuss and experiment with one possible answer \u2013 the intertextual analysis of social media.\n<\/p>\n
\n\tWhat does that even mean? We can, without a doubt, make fascinating observations by scraping or manually extracting social media images, texts, locations or hashtags and analyzing them as (self-) representations, focusing on what is on the image, what is said in the text, and what that may signify. However, an argument can be made for analyzing social media content in a way that reflects how it is produced, edited, viewed, shared, deleted and fought over \u2013 in streams of content, where what\u2019s ours coexists with what is others\u2019 and where visual, textual and hypertextual data are co-present in an assemblage called the post.\n<\/p>\n
\n\tAbout the instructor<\/strong>\n<\/p>\n\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n\tKatrin Tiidenberg, PhD is an Associate Professor of Social Media and Visual Culture at the Baltic Film, Media, Arts and Communication School of Tallinn University, Estonia and a post-doctoral researcher at Aarhus University, Denmark. She is the author of the forthcoming \u201cSelfies, why we love (and hate) them\u201d, as well as \u201cBody and Soul on the Internet \u2013 making sense of social media\u201d (in Estonian). Tiidenberg is a a long time member of the Association of Internet Researcher\u2019s Ethics Committee, a founding member of the Estonian Young Academy of Sciences, second time board member of the Estonian Sociology Association. She is currently writing and publishing on selfie culture, digital research ethics and visual research methods. Her research interests include visual self-presentation, sexuality, and normative ideologies as mediated through social media practices. More info at: kkatot.tumblr.com\n<\/p>\n
\n\tShe has been using and developing a method of analyzing social media content contextually \u2013 this means she treats visual material (images, videos), textual material (captions, comments, profile descriptions), and hyper- textual material (hashtags) as intertextually relational.<\/p><\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"
First steps in R \u2013\u00a0P\u00e4rtel Lippus Instructor: P\u00e4rtel Lippus, University of Tartu Assistant: Anton Malmi,\u00a0University of Tartu Date: 21.08. \u00a0 Description This workshop takes you through the first steps in the command-line based statistical computing program R. We will go …<\/p>\n","protected":false},"author":153,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/users\/153"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":56,"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/pages\/15\/revisions\/56"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalmethods\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}