Justin Grimmer is a senior fellow at the Hoover Institution and a professor in the Department of Political Science at Stanford University. His current research focuses on American political institutions, elections, and developing new machine-learning methods for the study of politics.

His research examines how representation occurs in US politics using new statistical methods. His first book, Representational Style in Congress: What Legislators Say and Why It Matters (Cambridge University Press, 2013), shows how senators define the type of representation they provide constituents and how this affects constituents’ evaluations. The book was awarded the Fenno Prize in 2014 for best book published about Congress. His second book, The Impression of Influence: Legislator Communication, Representation, and Democratic Accountability (Princeton University Press, 2014, with Sean J. Westwood and Solomon Messing), demonstrates how legislators ensure they receive credit for government actions.

His current research projects include a book project on text as data methods for the social sciences, an examination of how electoral rules affect political participation, and an analysis of how social media affect democracies. His previous work has appeared in the American Political Science Review, American Journal of Political Science, Journal of Politics, Political Analysis, Proceedings of the National Academy of Sciences, Regulation and Governance, and several top computer science publication outlets.

He holds a PhD from Harvard University and an AB from Wabash College.

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