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Faculty
Jonathan Kropko
Quantitative Foundation Associate Professor of Data Science
School of Data Science
Additional Roles
Program Director, M.S. in Data Science Online
School of Data Science
Email:
jkropko@virginia.edu
Additional Contact Information
Jonathan Kropko is a Quantitative Foundation Associate Professor at the School of Data Science. His areas of research interests include civic technology, data engineering, applied statistics, and political behavior. With a background in math and political science, throughout his career, Kropko has sought to apply his quantitative skills to make an impact in the real world.
At the School of Data Science, Kropko teaches courses in data engineering and directs the M.S. in Data Science online program. Kropko also leads Code for Charlottesville, a group of tech volunteers that conducts projects on behalf of local nonprofits and government offices.
Prior to joining the School of Data Science in 2019, Kropko taught as an Assistant Professor in the Department of Politics at UVA for six years. In 2018, Kropko was awarded the All-University Teaching Award. Prior to working at UVA, he was a Postdoctoral Fellow in the Applied Statistics Center at Columbia University.
Kropko holds a Ph.D. in Political Science from the University of North Carolina, Chapel Hill. He also earned a B.S. in Mathematics and Political Science from Ohio State University.
Education
- Ph.D., Political Science, University of North Carolina, Chapel Hill
- B.S., Mathematics and Political Science, Ohio State University
Data Science Domains
Analytics; Design; Systems; Data + Society
Areas of Practice
Theory, Foundations, and Advanced Methodologies; Data Ethics and Society
Methodologies
Data Pipelines; Applied Stats for The Social Sciences
Selected Publications
- Kropko, Jonathan. 2015. Mathematics for Social Scientists. New York: Sage.
- Ali, Christopher, Hilde Van den Bulck, and Jonathan Kropko. 2025. “An Island of Trust: Public Broadcasting in the United States.” Journal of Communication. Forthcoming. https://doi.org/10.1093/joc/jqaf009
- Christ, Bryan R., Zachary Gottesman, Jonathan Kropko, Thomas Hartvigsen. 2025. “Math Neurosurgery: Isolating Language Models’ Math Reasoning Abilities Using Only Forward Passes.” ACL: Annual Meeting of the Association for Computational Linguistics. https://arxiv.org/pdf/2410.16930
- Christ, Bryan R., Jonathan Kropko, and Thomas Hartvigsen. 2024. “MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations.” In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 11914–11938). Association for Computational Linguistics. https://aclanthology.org/2024.findings-emnlp.696
- Kropko, Jonathan, and Robert Kubinec. 2020. "Interpretation and Identification of Within-unit and Cross-sectional Variation in Panel Data Models." PloS one. 15(4). https://doi.org/10.1371/journal.pone.0231349
- Kropko, Jonathan and Jeffrey J. Harden. 2020. “Beyond the Hazard Ratio: Generating Expected Durations from the Cox Proportional Hazards Model.” British Journal of Political Science. 50(1): 303-320. https://doi.org/10.1017/S000712341700045X
- Kropko, Jonathan and Jeffrey J. Harden. 2019. “coxed: An R Package for Computing Duration-Based Quantities of Interest from the Cox Proportional Hazards Model” R Journal. 11(2): 38-45. https://doi.org/10.32614/RJ-2019-042
- Harden, Jeffrey J. and Jonathan Kropko. 2019. “Simulating Duration Data for the Cox Model.” Political Science Research and Methods. 7(4): 921-928. https://doi.org/10.1017/psrm.2018.19
- Kropko, Jonathan and Kevin Banda. 2018. “Issue Scales, Information Cues, and the Proximity and Directional Models of Voter Choice.” Political Research Quarterly. 71(4): 772-787. https://doi.org/10.1177/1065912918760729