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Prof. Dr. Jan Karem Höhne

I am junior professor at the Leibniz University Hannover in association with the German Centre for Higher Education Research and Science Studies, head of the CS3 lab for Computational Survey and Social Science, and permanent research fellow at the Research and Expertise Centre for Survey Methodology at the University Pompeu Fabra in Barcelona. Currently, I am also visisting professor at the GESIS – Leibniz Institute for the Social Sciences. Before that, I was senior postdoc in the ERC-funded POLITSOLID project at the Political Science Department at the University of Duisburg-Essen and postdoc at the German Internet Panel at the University of Mannheim. In addition, I was visiting professor at the Department of Methodology and Statistics at Utrecht University, research fellow of the German Academic Exchange Service at the Institute for Social Research at the University of Michigan, and Fulbright fellow at the Department of Communication at Stanford University.

My research combines survey research and computational social science. I employ Automatic Speech Recognition, Natural Language Processing, and generative AI applications for measuring political and social attitudes. This also includes the exploration of new, digital data sources and forms for empirical social research. For example, I focus on the utilization of audio, image, and video data streams and examine innovations in mixed-methods fusing quantitative and qualitative research approaches.

I jointly founded the Mobile Apps and Sensors in Surveys workshop, hold the CS3 meeting for Computational Survey and Social Science, am part of the education committee of the World Association for Public Opinion Research (WAPOR), and co-edit the open-access journal methods data analyses. Since the start of my PhD at the Faculty of Social Sciences at the University of Göttingen (Germany) in 2014 I published more than 50 research articles. Most of them in internationally established journals, such as Computers in Human Behavior, Journal of the Royal Statistical Society (Series A), Public Opinion Quarterly, and Social Science Computer Review.

Many thanks for your interest in me and my research!

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