I'm Professor of Data Science and Public Policy at the Hertie School in Berlin and Director of the Data Science Lab. My research focuses on public opinion, attitude formation in the digital age, and the use of online data in social research. I use experimental methods, online data, and innovative measurement strategies to study how people act and think, politically. Find my CV here.
+49 (0)30 259 219 450
munzert@hertie-school.org
@simonsaysnothin
github.com/simonmunzert
Google Scholar
ORCID
Foto: Hertie School | Maurice Weiß
See here for an overview of my current research and publications. Alternatively, browse my profile on Google Scholar.
Recent publications
Andrew Guess et al. The consequences of online partisan media. PNAS.
Sascha Göbel and Simon Munzert. The Comparative Legislators Database. British Journal of Political Science.
Simon Munzert et al. Tracking and Promoting the Usage of a COVID-19 Contact Tracing App. Nature Human Behaviour.
Simon Munzert et al. Do Online Voter Guides Empower Citizens? Evidence from a Field Experiment with Digital Trace Data. Public Opinion Quarterly.
I regularly teach graduate students about causal inference, online data collection, and computational social science in general. You can find syllabi here.
Automated Data Collection with R
Together with Christian Rubba, Peter Meißner and Dominic Nyhuis, I've written a book, Automated Data Collection with R - A Practical Guide to Web Scraping and Text Mining. The book has been published at John Wiley & Sons in 2015.
Links to friends in academia and resources I recommend are listed here.