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
Chicago’s Homicides Are Headed for Lowest Tally in 60 Years
Kim Smith, the Crime Lab’s Director of National Programs, speaks with Bloomberg’s Miranda Davis about the 2025 declines in violent crime in Chicago.
Chicago looks to close out 2025 with a 10-year low in violent crime
The Crime Lab’s experts and end-of-year analysis of Chicago crime trends are heavily featured in the latest Crain’s Forum on violence reduction.
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.
