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

QAPS Workshop Change
Monday, Apr 15, 2019

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

QAPS workshop canceled
Wednesday, Mar 20, 2019

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

Statistical and Formal Theory Consultants for Spring 2019
Sunday, Jan 27, 2019

QAPS is happy to announce our statistical and formal theory consultants for the coming semester:

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Future Events

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Previous Events

Workshop: Text Analysis in R using quanteda

Workshop: Text Analysis in R using quanteda
Fri, Nov 22, 2019, 10:00 am

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.

Location: Fisher 200
Speaker(s):
Will Lowe

Workshop: Spatial data in R with sf

Workshop: Spatial data in R with sf
Fri, Nov 15, 2019, 10:00 am

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.

Location: Fisher 200
Speaker(s):
Will Lowe

Workshop on data manipulation in R using readr, dplyr, and tidyr

Workshop on data manipulation in R using readr, dplyr, and tidyr
Fri, Oct 18, 2019, 10:00 am

This workshop shows how to manipulate data efficiently in R using readr, dplyr, and tidyr.

Prerequisites

The workshop will assume competence in base R.

Audience

This workshop is for anyone interested in improving their R data wrangling skills.

Location: Fisher 200
Speaker(s):
Will Lowe

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