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

News

End of an Era
Dec. 16, 2019

After four and a half years at QAPS, Will Lowe is leaving the university to become Senior Research Scientist at the Hertie School of Governance in Berlin. This position at QAPS will not be refilled, so until further notice this means that:

There will be no more QAPS computational skills…
QAPS Workshop Change
April 15, 2019

This Wednesday's workshop will now be about cleaning, structuring, and visualizing data with R (not about R package construction, as previously advertised*).

It will take place in Fisher Hall, Room 200 starting at 10:30am on Wednesday, April 17th. 

More details can be found here:

QAPS workshop canceled
March 20, 2019

Reminder: This morning's QAPS workshop (April 3, 2019) has been canceled.

Future Events

No upcoming events found.

Previous Events

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