Tag Archives: Computational Statistics

The Productive Scholar RECAP: New Faculty Technology Toolkit – Part 1: Q-APS Consulting, HRC, and DHI

For a description of this Productive Scholar session and biographies of the presenters, please click here.

Jonathan Olmsted, Q-APS Consulting: Using the Q-APS Consulting Service
Q-APS: the Program for Quantitative and Analytical Political Science, originated in the Department of Politics. The program was started in 2009 to support the intersection of political science and technical fields such as statistics, game theory, and computer science. Q-APS has sponsored a weekly seminar series, conferences, workshops, and the provision of graduate student support (e.g.: LaTeX, R, webscraping, research computing).Screen shot 2013-11-22 at 5.57.07 PM

A little more than a year old, the Q-APS Consulting Service seeks to provide service to members of the social science community (faculty, graduate and undergraduate students, and staff researchers) free of charge. More recently, a growing number of researchers have become interested in how statistics and research computing technologies can fruitfully intersect with other fields. As a result, Q-APS Consulting Services has found themselves being visited by scholars from these other fields. In some cases these scholars are attempting to determine what significance Q-APS research methods might have for them. One example of a question asked during an initial consultation is, “How do I use data, or computers, or math to answer my social science question?” Frequently consulting requests include, but are not limited to, the following topics:
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