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.
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.
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.
This workshop will target graduate students who plan to do replication analysis using Stata code. We will cover the basics such as opening .dta files, making effective use of .do/.ado files, importing and merging datasets along with manipulating and analyzing political science data. The workshop will be complementary to our one-on-one…
Academic economists have worked for tech companies since around 2000 and in the last 10 years the trickle has turned into a river creating a major new career path for economics PhDs as well as other data science disciplines. Today Amazon has over 450 PhD economists working all across the company. A key differentiator relative to other types of…
This workshop introduces the basic infrastructure for statistical text processing in R using the quanteda package. We will focus on corpus construction and the exploratory data analysis process that should precede fitting statistical models. For this workshop we will assume documents are available in text format; a later workshop will…
Spatial data divides into sets of polygons and covariates called 'shapefiles' e.g. to represent administrative boundaries, and pixel or 'raster' data, e.g. satellite-derived night light information. This workshop focuses on tools for manipulating polygon data using the R package sf.
This workshop starts by showing how to read…