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
The Best Books of 2025
The New Yorker includes Crime Lab Pritzker Director Jens Ludwig’s book, “Unforgiving Places: The Unexpected Origins of American Gun Violence,” on its annual list of best books of the year.
The Urban Optimist’s Holiday Gift Guide
Vital City included “Unforgiving Places: The Unexpected Origins of American Gun Violence,” a book written by Crime Lab Pritzker Director Jens Ludwig, in its 2025 holiday gift guide.
Why Split-Second Thinking Fuels Violence
Jens Ludwig, the Crime Lab’s Pritzker Director, joined the Behavioral Grooves Podcast to discuss his new book, “Unforgiving Places,” which challenges society’s most entrenched assumptions about crime and uncovers what behavioral science reveals about the real causes of violence.
