In my research, I aim to address substantive and policy-relevant political science questions using micro-level data and state of the art quantitative methodology. In the past years, the main focus of my research has been on understanding the influence of new digital online media for political behavior. Methodologically I am interested in statistical methods for the analysis of data gleamed from digital media and big data analytics but also computational (agent-based) modeling and the analysis of highly-resolved geographical data. I also work on developing methods for causal inference in event data.

The two main research projects that I am currently involved in are both highly interdisciplinary with researchers hailing from different substantive fields. The StopHateSpeech project is led by the Public Discourse Foundation and the technical aspects are implemented in close collaboration with the Digital Democracy Lab (UZH) and the Public Policy Group and Immigration Policy Lab (ETH). The project combines natural language processing and machine learning with civil society engagement to counter online hate speech.

Together with three colleagues at the University of Zurich, I further received DIZH infrastructure funding to establish DigiVox, a new national survey panel specifically dedicated to the study of the social, economic, cultural, political and policy implications of digital media and their interplay with technological developments in Switzerland. I am also a member of the executive board of the new Population Research Center at the University of Zurich.

You may find further details on ongoing and past research initiatives under Projects and please refer to Publications for a list of my academic publications. Together with colleagues I have further developed a number of Software packages that are available under open source licenses. Information related to newspaper, radio and TV coverage of my research may be found under Media Coverage.