Data Scientist, MAANA, Houston, TX
CSDE Research Areas:
- Demographic Measurements and Methods
- Environments and Populations
- Wellbeing of Families and Households
Kivan Polimis’ interests include researching structural inequality, natural language processing, and developing programming solutions to social problems. He was a postdoctoral researcher at Università Bocconi’s Dondena Centre for Research on Social Dynamics and Public Policy and postdoctoral affiliate at the Bocconi Institute for Data Science and Analytics (BIDSA) in Milan. Polimis has worked with Data Science for Social Good and Microsoft to develop programming solutions in transportation infrastructure and the legal system. His research focuses on combining computational social science approaches with large scale social media to evaluate population dynamics. Polimis is passionate about growing the community of computational social scientists.