Summary
Jacob Kaplan is a Princeton School of Public and International Affairs Professional Specialist who fuses criminology research with data science to inform policy. He holds a Ph.D. and M.S. in criminology from the University of Pennsylvania and a B.S. in criminal justice from Sacramento State, and is based in New Jersey. His current work leverages large language models to automate cleaning and processing of administrative police data and uses mobility data to study how homelessness shapes voting behavior. Previously he explored policing—officer demographics, racial discrimination measures, and the impact of removing “bad apples”—as well as crime prevention through environmental design like street-light outages in Chicago. A prolific R enthusiast, he has developed R packages, authored “A Criminologist’s Guide to R: Crime by the Numbers,” and built interactive crime visualization tools, while releasing FBI UCR data to support transparency. At Princeton he built scalable NLP pipelines across 99 police departments and performed probabilistic record linkage with a voter registration database of about 200 million rows, and he is the founder of 1930 Research LLC.
10 years of coding experience
California State University, Sacramento
PhD, Criminology, PhD, Criminology at University of Pennsylvania