Navigation auf uzh.ch
Navigation auf uzh.ch
The Chair of Comparative Politics and Empirical Democracy Research of Prof. Dr. Lucas Leemann investigates the function of democratic political systems from a comparative perspective and also develops computer-aided methods and statistical software for the precise measurement of public opinion.
The research group's substantive focus is on democratic practices and how democratic representation unfolds. We seek to understand how political systems differ in their ability to aggregate individual preferences and transfer them to politics. We analyse how political identities, e.g. party affiliation or broader political identification, and institutions, e.g. electoral rules or direct democratic institutions, influence the quality of representation and outcomes such as policy congruence or satisfaction with democracy. We investigate how the presence or absence of certain political institutions affects the behaviour of governments, parliamentarians, political parties, social groups and voters, and how this ultimately influences politics and leads to different political outcomes.
Another focus of the research group is the application of new statistical methods for measuring public opinion and voter preferences using survey data and other data sources. We use machine learning and data science tools to develop new methods, refine existing methods and make them available as open source statistical software. Our recently developed methods include a strategic selection estimator (StratSel), multilevel regression with synthetic poststratification (MrsP) and improved multilevel regression with machine learning poststratification (autoMrP).
Post Docs:
Florian Schaffner
Doctoral students/assistants:
Iva Srbinovska
Jonas Ineichen
Auxiliary assistants:
Olivia Schmied
Yara Schmidt
Comparative politics, comparative political economy, historical political economy, representation, direct democracy, data analysis and survey research
You can find detailed information about the courses of the staff members on the personal pages.
