Title
Associate Professor
Education
Ph.D. Political Science, University of Illinois, Urbana-Champaign, 2014.
M.A. Political Science (with Honors), University of Kansas, 2008.
B.A. Political Science and Philosophy (with Honors), University of Missouri, Kansas City, 2005.
Prior Appointments
University of Iowa
Assistant Professor, Department of Political Science, 2016-
Assistant Professor, Iowa Informatics Initiative (UI3), 2016-
Harvard University
Research Fellow, John F. Kennedy School of Government, 2018-2019
Northeastern University
Research Fellow, Network Science Institute, 2018-2019
University of Missouri, Columbia
Visiting Assistant Professor, Department of Political Science, 2014-2016
Research Areas
Text Analysis, Video Analysis, Audio Analysis, Computer Vision, Machine Learning, AI
Key Areas
Text Analysis, Video Analysis, Audio Analysis, Computer Vision, Machine Learning, AI
Biography
Bryce Dietrich is an Associate Professor in the Department of Political Science and research scholar at the Center for C-SPAN Scholarship and Engagement (CCSE). His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. These methods are used to understand the causes and consequences of non-verbal cues, such as vocal inflections and walking trajectories, especially as they relate to elite political behavior.
Professor Dietrich's work has appeared in the Nature, American Political Science Review, Journal of Politics, Political Analysis, and Political Psychology. This work has also received grant support from major organizations, including the National Institutes of Health and the National Science Foundation. Dr. Dietrich's work has been covered by popular outlets like NPR, BBC, The Economist, The Washington Post, and FiveThirtyEight. He received his Ph.D. from the University of Illinois and was recently a postdoctoral research fellow at Harvard's Kennedy School and Northeastern University.
