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

QSSC: Inference for Cluster-Level Randomized Experiments
(with Matched Pairs)
Fri, Apr 19, 2024, 12:00 pm1:00 pm

This paper considers the problem of inference in cluster randomized trials where treatment status is determined according to a "matched pairs'' design. Here, by a cluster randomized experiment, we mean one in which treatment is assigned at the level of the cluster; by a "matched pairs'' design we mean that a sample of clusters is paired…

Fri, May 3, 2024, 12:00 pm1:00 pm
127 Corwin Hall


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

QAPS Open House and Walk-in Office Hours
Fri, Feb 9, 2024, 2:45 pm4:45 pm

This informal meeting is geared towards, though not exclusive to, PhD students in Politics Department and SPIA, and an excellent chance for you to discuss how QAPS can assist you with your research projects. Whether you have questions about consultancy, want to introduce your research ideas, or need help with specific inquiries or statistical…

317 Fisher Hall
QSSC: Using Covariates to Improve Inference in the Preference-Incorporating Choice and Assignment (PICA) Design for Randomized Controlled Trials
Fri, Feb 9, 2024, 12:00 pm1:00 pm

A key challenge in randomized controlled trials (RCTs) is to ensure external validity so that findings from a study can inform real-world policy decisions, where individual decision-makers may self-select into different treatments based on their own preferences about the treatment options. If the effects of treatments depend on subjects'…

QSSC: Simpler Machine Learning Models for a Complicated World
Fri, Dec 8, 2023, 12:00 pm1:00 pm

While the trend in machine learning has tended towards building more complicated (black box) models, such models have not shown any performance advantages for many real-world datasets, and they are more difficult to troubleshoot and use. For these datasets, simpler models (sometimes small enough to fit on an index card) can be just as accurate…

127 Corwin Hall
QSSC: Mapping the Terrain of Online Storytelling
Fri, Oct 13, 2023, 12:00 pm1:00 pm

People use storytelling to persuade, to entertain, to inform, and to make sense of their experiences as a community. But where does storytelling most often take place online? When are people more likely to rely on storytelling as a rhetorical strategy? And how do different people recognize stories as stories? I'll present work on developing a…

127 Corwin Hall