Justin Grimmer

Justin GrimmerJustin Grimmer is an Assistant Professor in the Department of Political Science at Stanford University, California, which he joined after receiving his PhD from Harvard University's Department of Government in 2010. His research combines new statistial techniques, machine learning, and massive data sets to study how political representation occurs in American politics. His work has appeared in the American Political Science Review, the American Journal of Political Science, The Journal of Politics, Proceedings of the National Academy of Sciences, Political Analysis, and Regulation and Governance. Grimmer's research has received several awards, including the Warren E. Miller prize for best paper published in political analysis, the Robert H. Durr award from the Midwest Political Science Association, and the John T. Williams prize from the Society for Political Methodology. Read More Read Less

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Text as Data24 %
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Representational Style in Congress38 %
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High Performance Architecture for PROLOG37 %
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Switching and Traffic Theory for Integrated Broadband Networks37 %
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Impression of Influence25 % NR
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Impression of Influence25 % NR
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