Konstantin Kashin

Institute for Quantitative Social Science, Harvard University

Konstantin Kashin is a Fellow at the Institute for Quantitative Social Science at Harvard University and will be joining Facebook's Core Data Science group in September 2015. Konstantin develops new statistical methods for diverse applications in the social sciences, with a focus on causal inference, text as data, and Bayesian forecasting. He holds a PhD in Political Science and an AM in Statistics from Harvard University.

Advanced Quantitative Research Methodology

GOV 2001, Spring 2012, Prof. Gary King, Teaching Fellow
Advanced graduate course in statistical methodology, based upon the maximum likelihood framework. The course covers special topics in political methodology, including causal inference, missing data, and text analysis.

Received a Harvard University Certificate of Distinction in Teaching for this course (mean teaching evaluation score of 4.5/5). Anonymous student comments on the FAS Course Evaluation are available here.



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Quantitative Methods for Political Science I

GOV 2000, Fall 2012, Prof. Adam Glynn, Teaching Fellow
A mandatory graduate class for first-year PhD students in the Government Department at Harvard. It covers introductory univariate statistics, the linear regression model and its extensions, as well as causal inference.

Received a Harvard University Certificate of Distinction in Teaching for this course (mean teaching evaluation score of 4.57/5). Anonymous student comments on the FAS Course Evaluation are available here.



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Math Prefresher for Political Scientists

August 2012, Instructor
A short class for incoming first-year PhD students in the Government Department at Harvard designed to introduce basic mathematics and computer skills needed for quantitative and formal modeling courses.



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