Program for Quantitative and Analytical Political Science

Welcome to QAPS

The Program for Quantitative and Analytical Political Science (QAPS) was established in 2009 to support theoretical and quantitative research in political science and its dissemination. We support graduate students through QAPS fellowships, host post-doctoral research fellows, offer statistical and formal theory consulting, hold quantitative skills workshops, throw conferences, and organize the Quantitative Social Science Colloquium

Future Events

Currently, there are no future events. Please contact us if you would like us to provide a methodology workshop that will benefit your research agenda.

News

Exciting Updates

We are happy to announce exciting updates from QAPS! We recently welcomed Tolgahan Dilgin as the QAPS Statistical Services Manager. For those who remember Will Lowe, Tolgahan will be serving in a very similar role. Stay tuned for updates on our upcoming workshops, and for information on how to utilize our consultancy services.

Previous Events

Colloquium: Max Goplerud
Fri, Mar 8, 2019, 12:00 pm12:00 pm

Max Goplerud
Department of Government, Harvard University

Modelling Heterogeneity Using Complex Sparsity

Abstract: TBA

 

Location
Corwin 127

Speaker

Workshop: Parallel Processing in R on Your Own Machine
Wed, Mar 6, 2019, 10:30 am10:30 am

Contemporary computer chips have multiple cores, but R will run your programs on only of them, even if your task could performed in parallel. In this workshop we will see how to identify which tasks can be done in parallel and show how make them go faster by spreading their computation across cores on your machine. 

This is the first…

Location
Fisher 200

Speaker

Colloquium: Jonathan Mummolo
Fri, Mar 1, 2019, 12:00 pm12:00 pm

Jonathan Mummolo
Department of Politics and Woodrow Wilson School, Princeton University

The Bias Is Built In: How Administrative Records Mask Racially Biased Policing

Abstract:

Location
Corwin 127

Speaker

Colloquium: Susan Athey
Fri, Feb 22, 2019, 12:00 pm12:00 pm

Susan Athey
Stanford Graduate School of Business

Machine Learning and Causal Inference for Heterogeneous Treatment Effects [link is to a series of papers]

This talk will review…

Location
Corwin Hall 127

Speaker