Team

Abraham Bernstein is a Full Professor of Informatics at the University of Zurich (UZH) and a founding Director of the University of Zurich’s Digital Society Initiative (DSI), a university-wide initiative with more than 180 faculty members investigating all aspects of the interplay between society and digitalization. His current research focuses on various aspects of the semantic web, recommender systems, data mining/machine learning, crowd computing, and collective intelligence.

Prof. Dr. Eszter Hargittai
Department of Communication
and Media Research
University of Zurich
e.hargittai@ikmz.uzh.ch
Website

Eszter Hargittai is Professor and holds the Chair in Internet Use and Society in the Communication and Media Research Department of the University of Zurich. She has edited three volumes on the behind-the-scenes realities of conducting empirical social science research and teaches classes on this topic. She is a member of the FORS Scientific Advisory Board. She publishes on people’s digital media uses with a particular focus on how differences in Internet skills relate to what people do online.

Prof. Dr. Lucas Leemann
Department of Political Science
University of Zurich
leemann@ipz.uzh.ch
Website

Lucas Leemann is an Associate Professor in the Department of Political Science at the University of Zurich and member of the Digital Democracy Lab. He works on questions of political representation and on how to measure citizen preferences in surveys. A large part of his methodological work addresses ways to employ statistical models that allow to overcome non-response and other forms of biases. He also teaches survey research at the University of Zurich.

Prof. Dr. Karsten Donnay
Department of Politial Science
University of Zurich
donnay@ipz.uzh.ch
Website

Karsten Donnay is Assistant Professor of Political Behavior and Digital Media in the Department of Political Science at the University of Zurich, a member of the Digital Democracy Lab and a DSI Professor. In his work, he uses large-scale surveys and survey experiments paired with observational data from digital media platforms to shed light on the exact mechanisms by which individuals interact, obtain information, are influenced by or influence others online.