From the award announcement: Jacob’s scholarly contributions cover Bayesian statistics, causal inference, machine learning, survey methodology, and network analysis. His work has been funded by the National Science Foundation and published in the top journals, including Political Analysis, American Political Science Review, American Journal of Political Science, the Journal of Politics, the Proceedings of the National Academies of Science, and Journal of Survey Statistics and Methodology, among others. Beyond his research, Jacob’s contributions to the field include developing R packages, organizing methodological conferences, and serving the Society in many different committees and roles. Above all, the many colleagues who nominated Jacob wanted to recognize his unwavering dedication to mentorship and inclusivity in the field of political methodology.
