Daniel J. Hopkins speaking on The Rise of and Demand for Identity-Oriented Media Coverage.
The Hoover Institution hosts a seminar series on Using Text as Data in Policy Analysis, co-organized by Steven J. Davis and Justin Grimmer. These seminars will feature 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.
Our 16th meeting features a conversation with Daniel J. Hopkins on The Rise of and Demand for Identity-Oriented Media Coverage on Thursday, February 16, 2023 from 9:00AM – 10:30AM PT.
Daniel J. Hopkins is a professor of political science at the University of Pennsylvania and has also taught at Georgetown and Yale Universities. Professor Hopkins’s research focuses on American political behavior, with a special emphasis on elections, ethnic and racial politics, state and local politics, and quantitative research methods. He is the author of two books, The Increasingly United States: How and Why American Political Behavior Nationalized (University of Chicago Press, 2018) and Stable Condition: Elites' Limited Influence on Health Care Attitudes (Russell Sage Foundation, 2023), as well as more than 50 scholarly articles. His work has appeared in FiveThirtyEight.com, the New Republic, and the Washington Post. He has also served in the US federal government and the City of New York. He received a PhD in government from Harvard University.
Steven J. Davis is senior fellow at the Hoover Institution and professor of economics at the University of Chicago Booth School of Business. He studies business dynamics, labor markets, and public policy. He advises the U.S. Congressional Budget Office and the Federal Reserve Bank of Atlanta, co-organizes the Asian Monetary Policy Forum and is co-creator of the Economic Policy Uncertainty Indices, the Survey of Business Uncertainty, and the Survey of Working Arrangements and Attitudes.
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.
