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. This includes 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 three major research initiatives I am currently involved in are highly interdisciplinary with researchers hailing from diverse substantive fields. The MERIAM initiative is a multi-institutional research project on modeling early risk indicators to anticipate malnutrition funded by the Department for International Development of the United Kingdom (DFID). It is led by Action Against Hunger and brings together researcher at the University of Maryland, the Graduate Institute in Geneva and the Bloomberg School of Public Health at Johns Hopkins University. The WIN project is a joint project with a colleague in computer science at the University of Wuppertal on the automated detection of media bias in news media articles. You may find further details on ongoing and past research initiatives under Projects.
Please refer to Publications for 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.