{"id":193,"date":"2026-09-21T12:14:22","date_gmt":"2026-09-21T09:14:22","guid":{"rendered":"https:\/\/sisu.ut.ee\/citis\/?page_id=193"},"modified":"2026-10-26T15:50:41","modified_gmt":"2026-10-26T13:50:41","slug":"our-work","status":"publish","type":"page","link":"https:\/\/sisu.ut.ee\/citis\/our-work\/","title":{"rendered":"Our work"},"content":{"rendered":"
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Ongoing research & development<\/h2>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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CITIS in Estonian Centre of Excellence in AI<\/h3>\n\n
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The EXAI consortium brings together AI research groups from the University of Tartu, Tallinn University of Technology and Cybernetica, under the leadership of the University of Tartu\u2019s Institute of Computer Science. The centre approaches trustworthy AI from a range of \u2026<\/p>\n <\/div>\n \n Read more<\/a>\n\n <\/div>\n <\/div>\n <\/div>\n<\/article>\n\t\t\t\t\t\t\t\t\t\t\t

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Machine learning in employment services: long-term data science partnership with T\u00f6\u00f6tukassa (2019-\u2026)<\/h3>\n\n
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Since 2019, CITIS has been an integral research and data science partner to the Estonian Unemployment Insurance Fund (T\u00f6\u00f6tukassa) through a long term data science partnership between the latter and Nortal AS. The same question runs through all of it: \u2026<\/p>\n <\/div>\n \n Read more<\/a>\n\n <\/div>\n <\/div>\n <\/div>\n<\/article>\n\t\t\t\n\t\t\t\t\t\t<\/div>\n\n\n\n

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All projects and publications<\/h2>\n\n\n\n
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Completed (6)<\/span><\/a>\nOngoing (2)<\/span><\/a>\nPublications (7)<\/span><\/a>\nResearch (8)<\/span><\/a><\/p><\/div>\n\n\n\n

2015<\/a>\n2019<\/a>\n2020<\/a>\n2021<\/a>\n2022<\/a>\n2023<\/a>\n2024<\/a>\n2025<\/a>\n2026<\/a>\nartificial intelligence<\/a>\ndashboard<\/a>\ndata science<\/a>\ndiffusion<\/a>\ne-government<\/a>\ne-services<\/a>\ne-voting<\/a>\nelections<\/a>\nelectoral turnout<\/a>\nEnergy<\/a>\nfactor analysis<\/a>\nforecasting<\/a>\ngenerative AI<\/a>\ngroup voting patterns<\/a>\nhabit formation<\/a>\nimpact evaluation<\/a>\ninternet voting<\/a>\nlabour economics<\/a>\nlabour market<\/a>\nLLM<\/a>\nlog data<\/a>\nmachine learning<\/a>\nmicrosimulation<\/a>\nministry of economic affairs<\/a>\npension<\/a>\npredictive modelling<\/a>\npublic sector<\/a>\nreal time data<\/a>\nregister data<\/a>\nShiny<\/a>\nsoftware<\/a>\nstatistical analysis<\/a>\nt\u00f6\u00f6tukassa<\/a>\nUniversity of Tartu<\/a>\nvalue chain<\/a>\nx-road<\/a><\/p><\/div>\n<\/div>\n\n\n\n

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Recently completed<\/h2>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Profiling energy customers for Eesti Energia (2022)<\/h3>\n
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University of Tartu Dashboard (2019)<\/h3>\n
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Data driven analytical tools for the Tax and Customs board (2017)<\/h3>\n
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Recently published<\/h2>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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State versus Technology: What drives trust in and usage of internet voting, institutional or technological trust?<\/h3>\n
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E-governance diffusion: Population level e-service adoption rates and usage patterns<\/h3>\n
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The effects on intra\u2010generational inequality of introducing a funded pension scheme: A microsimulation analysis for Estonia<\/h3>\n