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
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
Temporal Validity in Online Social Science
The centrality of the internet to modern life means that the social and political world is changing faster and less predictably than ever before. At the same time, the “credibility revolution” has forced social scientists to confront the limits of our methods for creating knowledge. The…
Speaker
Spatial data divides into 'polygon' data such as shape files of administrative district boundaries, and 'raster' data such as satellite-derived night light information. This workshop focuses on tools for manipulating shape data using the R package sf.
This workshop starts by showing how to read in shapefiles,…
Speaker
All (Mayoral) Politics is Local?
One of the defining characteristics of modern American politics is the degree to which democratic representation has become increasingly “nationalized,” or focused on national issues at the expense of local issues. In this paper, we examine the degree to which this nationalization phenomenon has…
Speaker
This workshop shows you how to extract information from web pages programmatically from R. We start by showing how to locate information in a parsed html document using CSS selectors, how to fill in simple and more complex web forms to generate lists of pages to parse, and how to use website's APIs when they are provided.
Prerequisites …