Greg Stoddard
Senior Research Director
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Expertise
Greg Stoddard is a Senior Research Director for the Crime Lab and Education Lab. He oversees a portfolio of projects related to policing, criminal justice reform, and education. His work blends techniques from data science and social science to help address challenging problems faced in public policy.
Prior to joining the Labs, Greg received his Ph.D. in computer science from Northwestern University.
Policy Brief: Understanding and Improving Early Intervention Systems
This policy brief is a summary of a research paper entitled “Predicting Police Misconduct” by Greg Stoddard, Dylan Fitzpatrick, and Jens Ludwig.
NBER Working Paper: Predicting Police Misconduct
This paper outlines the results of research on over a decade of Chicago Police Department data that shows it is possible to predict risk of on-duty and off-duty misconduct, allowing police departments to prioritize training and supportive resources.
New Jersey Portfolio
The Crime Lab is partnering with the New Jersey Administrative Office of the Courts (AOC) to help strengthen reforms to the state’s criminal justice system introduced in 2017, including eliminating cash bail and introducing a risk assessment tool to aid in pretrial release decisions.
New York City Release Assessment
The Crime Lab partnered with New York City leaders to update its pretrial release assessment to be more accurate and equitable with the aim of helping judges reduce pretrial incarceration by identifying the vast majority of low-risk defendants who can be released without bail or other pretrial conditions.
Officer Support System (OSS)
The Crime Lab partnered with the Chicago Police Department (CPD) to develop the Officer Support System (OSS), a next-generation, data-driven early intervention system to promote officers’ long-term mental health and wellness.
Latest Updates
Reset with Sasha-Ann Simons: Can police misconduct be stopped before it starts?
Crime Lab Senior Research Director Greg Stoddard joins Patrick Smith on WBEZ Reset to discuss results from a new study of an algorithm that can help identify which officers are likely to commit misconduct.
UChicago Crime Lab Study Finds Officer Support Systems Can Use Data to Predict Risk of Police Officer Misconduct, Offers a Low-Cost Decision Aid for Targeting Resources
Findings from a study of an officer support system using Chicago Police Department data show that it is possible to predict an officer’s future risk of serious misconduct.
UNIVERSITY OF CHICAGO STUDY DISCERNS LINK BETWEEN ON-DUTY AND OFF-DUTY MISCONDUCT AMONG CHICAGO POLICE OFFICERS
Hoodline covers a recent study by the University of Chicago Crime Lab that analyzed a decade of Chicago Police Department data – using estimates from a data-driven algorithm that predicts an officer’s future risk of serious misconduct from their past record of activity and complaints against them, the Crime Lab finds that the top 2% of officers with highest predicted risk are 6 times more likely to engage in serious misconduct than the average officer.
