Fall Research Expo 2021

COVID and Crime Rates: “Do Cops Know Who to Stop?” Assessing Optimizing Models of Police Behavior with a Natural Experiment

We worked on analyzing crime data from major U.S. cities to understand how events like the protests and the pandemic affected crime. Specifically, we delved into the nitty gritty details of police stops and arrests data, using granular demographic details about each incident to paint a fuller picture of the underlying factors influencing large-scale crime fluctuations. We also worked on presenting the data to the public. Specifically, new data was gathered from city using public sources or the Freedom of Information Act, and that data was then cleaned into the optimal format. Lastly, the data was published in an easily-accessible graph form on citycrimestats.com, which gives users many ways of filtering for the desired data.

PRESENTED BY
PURM - Penn Undergraduate Research Mentoring Program
Engineering & Applied Sciences 2024
CO-PRESENTERS
Caroline  Li
Caroline Li - Wharton 2024
Advised By
David Abrams
Professor of Law, Business Economics, and Public Policy
Join
  • David
  • Caroline
for a virtual discussion
PRESENTED BY
PURM - Penn Undergraduate Research Mentoring Program
Engineering & Applied Sciences 2024
CO-PRESENTERS
Caroline  Li
Caroline Li - Wharton 2024
Advised By
David Abrams
Professor of Law, Business Economics, and Public Policy

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