Machine Learning
Machine learning tools continually leverage data to “learn” and improve performance — whether that’s cleaning datasets or analyzing the data within them to make recommendations.
Good data is essential to developing successful interventions to reduce violence and reform our criminal justice system. But too often, public safety datasets are disjointed or otherwise incomplete, which makes it difficult to analyze the effects of an intervention. Machine learning tools can strengthen data analysis by gathering information across multiple datasets or by making predictions based on trends in the data — allowing researchers to analyze data more efficiently.
The Crime Lab team is utilizing and developing machine learning tools to expand and improve our data analysis capacity within many of our projects.
Latest Updates
Every Choice Has Opportunity: Inside the ECHO Curriculum
The Crime Lab and Education Lab is hosting a webinar that will provide an in-depth look at the research behind ECHO, our approach to creating it, and an overview of resources and tips to get started with using the curriculum.
Former NYPD Chief of Department Kenneth E. Corey Named Executive Director of the Policing Leadership Academy
CHICAGO, IL — The University of Chicago Crime Lab today announced that Kenneth E. Corey has been appointed Executive Director of its Policing Leadership Academy (PLA), a first-of-its-kind executive education program designed to help police leaders reduce gun violence and build trust in the communities they serve.
Homicide rate declines sharply in dozens of US cities, a new report shows
The AP’s Claudia Lauer speaks with Crime Lab faculty director Jens Ludwig about the declining homicide rate in cities across the United States.
