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

Workshop: Spatial data in R with sf
Fri, Nov 15, 2019, 10:00 am10:00 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.

This workshop starts by showing how to read…

Location
Fisher 200
Speaker
Workshop on data manipulation in R using readr, dplyr, and tidyr
Fri, Oct 18, 2019, 10:00 am10:00 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.

If you are not a politics graduate…

Location
Fisher 200
Speaker
Workshop: Programmatic graphics in R with ggplot2
Fri, Oct 11, 2019, 10:00 am10:00 am

This workshop shows how to create publication quality graphics using the the 'grammar of graphics' implemented in R in the package ggplot2. We first decompose a statistical graphic into its components: mappings of variables onto visual elements and then practice using functions that build up a plot.

Prerequisites

Location
Fisher 200
Speaker
Workshop: Introduction to R (part 2)
Fri, Sep 27, 2019, 10:00 am10:00 am

This workshop continues our introduction to the R statistical language and a core of useful tools for working with data. This workshop will focus on loops, sampling and resampling, and writing your own functions.

Prerequisites

The workshop assumes that you attended last week's R workshop.

Audience

This workshop is for…

Location
Fisher 200
Speaker