Bryce Dietrich

Bryce Dietrich is an Associate Professor in the Department of Political Science, Director of the Computational Social Science Lab , and a 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. Recent Publications Bryce J. Dietrich and Hyein Ko. 2023. "Stand Up and Be Counted: Using Traffic Cameras to Assess Voting Behavior in Real-Time.” Research and Politics , Forthcoming. Hoeyun Kwon, Caglar Koylu and Bryce J. Dietrich . 2023. "Natural language processing meets spatial time series analysis and geovisualization: identifying and visualizing spatio-topical sentiment trends on Twitter.” Cartography and Geographic Information Science , 50(6): 593-607. DOI: 10.1080/15230406.2023.2264751 https://www.tandfonline.com/doi/abs/10.1080/15230406.2023.2264751 Dietrich, Bryce J. and Matthew Hayes. 2023. "Symbols of the struggle: Descriptive representation and issue-based symbolism in US house speeches.” Journal of Politics 85(4): 1368-1384. DOI: 10.1086/723966 https://www.journals.uchicago.edu/doi/abs/10.1086/723966?journalCode=jop