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: 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
Workshop: Text Analysis in R
Wed, Feb 20, 2019, 10:30 am10:30 am

This workshop introduces the basic infrastructure for statistical text processing in R using the quanteda package. We will focus on corpus construction, and exploratory data analysis. Time permitting we will discuss tools for text acquisition and cleaning.

Prerequisites

The workshop will assume basic R competence.

Location
Fisher 200
Speaker
Colloquium: Olga Russakovsky
Fri, Feb 15, 2019, 12:00 pm12:00 pm

Computer vision meets fairness

Computer vision systems are pervasive: from sorting postal mail to unlocking a phone with FaceID to playing a game with Kinect, this technology is shaping more aspects of our lives than we sometimes realize. Yet more and more historical societal biases are making their way into these…

Location
Corwin Hall 127
Speaker
Colloquium: Ryan P Adams
Fri, Feb 8, 2019, 12:00 pm12:00 pm

Ryan P. Adams
Department of Computer Science, Princeton University

Estimating the Spectral Density of Large Implicit Matrices

Abstract:

Many…

Location
Corwin 127
Speaker