Research Interests
Political methodology
Applied statistics
Political behavior
Education
Ph.D, University of California, Berkeley
Additional Campus Affiliations
Associate Professor, Statistics
Recent Publications
Rabb, N., Glick, D., Houston, A., Bowers, J., & Yokum, D. (2021). No evidence that collective-good appeals best promote COVID-related health behaviors. Proceedings of the National Academy of Sciences of the United States of America, 118(14), [e2100662118]. https://doi.org/10.1073/PNAS.2100662118
Bowers, J., & Leavitt, T. (2020). Causality and Design-Based Inference. In L. Curini, & R. Franzese (Eds.), The SAGE Handbook of Research Methods in Political Science and International Relations (pp. 769-804). SAGE Publishing. https://doi.org/10.4135/9781526486387.n44
Wong, C., Bowers, J., Rubenson, D., Fredrickson, M., & Rundlett, A. (2020). Maps in People's Heads: Assessing a New Measure of Context. Political Science Research and Methods, 8(1), 160-168. https://doi.org/10.1017/psrm.2018.51
Bowers, J., & Testa, P. F. (2019). Better government, better science: The promise of and challenges facing the evidence-informed policy movement. Annual Review of Political Science, 22, 521-542. https://doi.org/10.1146/annurev-polisci-050517-124041
Bowers, J., Desmarais, B. A., Frederickson, M., Ichino, N., Lee, H. W., & Wang, S. (2018). Models, methods and network topology: Experimental design for the study of interference. Social Networks, 54, 196-208. https://doi.org/10.1016/j.socnet.2018.01.010
