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

Advanced Statistical Programming Camp
Mon, Jan 29, 2018Fri, Feb 2, 2018
Course Description

The Advanced Statistical Programming Camp builds on the Introductory Camp by expanding the computing toolsets of researchers beyond base R.  The camp provides tools which can help analyze big datasets, e.g. voter files across many states, micro-level international trade data, large federal personnel databases, and employ…

Location
Sherrerd Hall 101
Speakers
Statistical Programming Camp
Sun, Jan 28, 2018Fri, Feb 2, 2018
Course Objectives

This camp will prepare students for POL 572 and other quantitative analysis courses offered in the Politics department and elsewhere. Although participation in this camp is completely voluntary, the materials covered in this camp are a pre-requisite for POL 572. Students will learn the basics of statistical programming using…

Location
Wallace 300
Speakers
Text As Data 2017
Fri, Oct 13, 2017Sat, Oct 14, 2017

Princeton University will host the eighth annual conference on New Directions in Analyzing Text as Data (Text as Data 2017).

For details of papers and to apply to attend, please see the conference website.