Justin Grimmer

Justin Grimmer, Ph.D., is Professor of Political Science at Stanford University, where he is also Senior Fellow at the Hoover Institution and Co-Director of the Democracy and Polarization Lab.

Grimmer’s research examines political representation in American politics using new statistical methods. He received his Ph.D. from Harvard University in 2010.

He is the author of the book Representational Style in Congress: What Legislators Say and Why It Matters and co-author of The Impression of Influence: Legislator Communication, Representation, and Democratic Accountability. His forthcoming book, Text as Data: A New Framework for Machine Learning and the Social Sciences, was written with Margaret Roberts and Brandon Stewart.

In 2015 he received the School of Humanities and Sciences Dean’s award for achievement in teaching.

Grimmer’s personal webpage, which includes more details on his research, is available here.

To visit his Stanford University faculty webpage, click here.

Seminars taught by

Justin Grimmer

Text as Data

August 3-6, 2021

Location: Remote Seminar

Taught by: Brandon Stewart, Justin Grimmer, Molly Roberts

Seminars taught by

Justin Grimmer

Text as Data

August 3-6, 2021

Location: Remote Seminar

Taught by: Brandon Stewart, Justin Grimmer, Molly Roberts