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Summer Empirical Workshop

This workshop is for students interested in training in contemporary methods for causal inference, behavioral and experimental economics, machine learning, and data collection. It is a fully funded experience at the beautiful campus of Claremont Graduate University. The workshops will bring together several experts in the quantitative social sciences. It is mostly a lecture format with break out sessions in Stata, R, and Python. By the end of the workshops we believe that students will have increased level their competency and understanding of empirical methods, which will enable them to build on their own research.

When: June 9-14, 2019
Where: Claremont Graduate University
Cost: Free (travel stipend of $500)
Application deadline: May 1, 2019
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Two-Day Dissertation Workshop

This workshop is for graduate students who are entering the dissertation phase that are interested in training in contemporary methods for causal inference, machine learning, and data collection. It is a fully funded experience at the beautiful campus of Claremont Graduate University. The workshops will bring together several experts in the quantitative social sciences.The first day is committed to the introduction of new content through lectures and running scripts in a collaborative setting. The second day is committed to advancing dissertation ideas into practical “next steps”.

When: December 12-13, 2019
Where: Claremont Graduate University
Cost: Free (travel stipend of $500)
Application deadline: October 1, 2019
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