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…

Speaker
QSSC: TBA
Fri, May 3, 2024, 12:00 pm1:00 pm
Location
127 Corwin Hall
Speaker

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

QSSC: On linguistic approaches to social problems
Fri, Apr 12, 2024, 12:00 pm1:00 pm

In fields like natural language processing, social problems are often operationalized as linguistic problems that can be analyzed and addressed with linguistic expertise and language technologies. I'll present some conceptual work that examines this practice and its implications, drawing on examples from police reform and online content…

Location
127 Corwin Hall
Workshop: Data Management in R (tidyverse & dplyr)
Wed, Apr 10, 2024, 3:30 pm4:45 pm

Prerequisites: We assume prior familiarity with base R.

Audience: The workshop is tailored for individuals keen on refining their R data manipulation skills and will enable you to have hands-on practice with real-world data coming from public opinion surveys.

Important Note:

Location
JRR 397
Speaker
QSSC: Data science and machine learning methods to improve social equity
Fri, Mar 29, 2024, 12:00 pm1:00 pm

Our society remains profoundly inequitable, due in part to biases in human and algorithmic decision-making. Addressing this, we propose data science and machine learning methods to improve the fairness of decision-making. First, we develop scalable Bayesian methods for assessing bias in human decision-making and apply these methods to measure…

Location
127 Corwin Hall
Speaker
QSSC: Beyond Prediction
Fri, Mar 22, 2024, 12:00 pm1:00 pm

Images are a rich and crucial element of political communication. The complexity of the information they convey creates challenges for the identification, interpretation, and explanation of the effects of visual messages on information processing and attitude formation. In this article, we adapt a methodological approach used in text analysis,…

Location
127 Corwin Hall
Speaker