Using Text As Data In Policy Analysis
The Hoover Institution Workshop on Using Text as Data in Policy Analysis features applications of natural language processing, structured human readings, and machine learning methods to text as data to examine policy issues in economics, history, national security, political science, and other fields. Steven J. Davis and Justin Grimmer organize the workshop.
Next Session
McCarthyism, Media, and Political Repression: Evidence from Hollywood
Our 30th workshop features a conversation with Tianyi Wang on “McCarthyism, Media, and Political Repression: Evidence from Hollywood” on January 29, 2025, from 9:30AM – 11:00AM PT.
Past Workshop Sessions
Hosts
Steven Davis
Thomas W. and Susan B. Ford Senior Fellow
Steven Davis is the Thomas W. and Susan B. Ford Senior Fellow at the Hoover Institution and William H. Abbott Distinguished Service Professor of International Business and Economics at the University of Chicago Booth School of Business.
Erin Baggott Carter
Erin Baggott Carter is a Hoover Fellow at the Hoover Institution at Stanford University. She is also an assistant professor in the Department of Political Science and International Relations at the University of Southern California, a faculty affiliate at the Center on Democracy, Development and the Rule of Law (CDDRL) at Stanford University’s Freeman Spogli Institute, and a nonresident scholar at the 21st Century China Center at UC San Diego.
Justin Grimmer
Senior Fellow
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.
