You've reached Simon Munzert's homepage. I'm Lecturer in Political Data Science at the Hertie School of Governance in Berlin.
28-03-2018. Excited to be at GOR 18 in Cologne for the first time. Great programme, fantastic people!
08-01-2018. On my way to Mannheim for recordings of my Web Scraping with R course for the IPSDS Survey and Data Science Master Program.
14-12-2017. Kick-off of my workshop on citizen and elite activity on Wikipedia at the Hertie School of Governance.
09-11-2017. On my way to a workshop on media exposure and opinion Formation at USC, LA - looking forward to external feedback on our large-scale tracking survey from experts in the field!
My research focuses on the measurement of public opinion, political representation, and the use of new media in society. Methodologically, I follow new developments in survey research and data collection as well as hierarchical modeling and Bayesian statistics.
Currently, I am involved in three major projects:
Sascha Göbel and Simon Munzert. "Political Advertising on the Wikipedia Marketplace of Information." Social Science Computer Review.
Current working papers:
Andreas Murr and Simon Munzert. "Forecasting Turnout at UK Elections."
Thomas Gschwend, Simon Munzert, Marcel Neunhoeffer, Sebastian Sternberg, Lukas Stoetzer and Steffen Zittlau. "A Dynamic Forecasting Model for the 2017 German Federal Election."
Simon Munzert, Pablo Barberá, Andrew Guess and JungHwan Yang. "Media Exposure and Opinion Formation in an Age of Information Overload."
I regularly teach undergrads and grads how to construct standardized questionnaires and to manage surveys in the field, how to use R for web scraping and text mining, and about new developments in the field of Computation Social Science. You can find syllabi here.
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 and has its own homepage and blog to which I contribute occasionally.