Registration: Spatial Well-Being Mini-conference – Fill in form
The event will take place in Tartu, at Vanemuise 46, room 327 and online via Zoom
The first part of the conference will be in Estonian and the second part in English.
At the conference, we will:
After the conference, the EstWell Council meeting will take place.
Programme
11:00–12:30 The National Spatial Plan “Estonia 2050” and the Monitoring of Spatial Well-Being Changes in Estonia
Within the framework of the national spatial plan “Estonia 2050” currently under development, a data-driven monitoring methodology for spatial planning and spatial well-being has been developed.
The authors of the study, Pille Metspalu and Jürgen Pikk (Hendrikson & Ko; Department of Geography, University of Tartu), will present the indicators and key metrics created to enable the state to monitor changes in spatial well-being over the next 25 years.
This will be followed by a discussion on how to measure changes in well-being in space and which research questions EstWell researchers could address.
Background material:
12:30–13:15 Lunch
13:15–14:45 Discussion: Preparations for the Data Use Agreement “Health and Contextual Data” with Statistics Estonia
Kadri Leetmaa (Department of Geography, University of Tartu) and Kairi Kreegipuu (Institute of Psychology, University of Tartu) will present the objectives of the Spatial Well-Being Flagship Project (LMP) and provide an overview of the preparation of the data use agreement and ethical approval.
Preparations are underway to link longitudinal (1989+) census- and register-based population data from the Population and Housing Census with health data for EstWell research purposes.
An inclusive brainstorming session will map shared research questions and data needs of well-being and spatial researchers.
14:45–15:15 Inspiration Talk: Using Swedish Geolocation Data in Social Science Research by Qinya Feng (https://qinyafeng.github.io/)
Department of Government, Uppsala University.
Recent applications from the Department of Government, Uppsala University, that combine geolocation data with other Swedish register data.