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 CEOs Raise $100 Million to Fight Crime After Bloody Days
Media Mention
Bloomberg
Jul 2024

Chicago CEOs Raise $100 Million to Fight Crime After Bloody Days

Bloomberg’s Isis Almeida and Miranda Davis cite Crime Lab analysis of data on shootings in Chicago during the summer months, which account for more than one-third of the city’s shootings every year.

Community violence intervention takes spotlight after bloody weekend in Chicago
Media Mention
Fox 32 Chicago
Jul 2024

Community violence intervention takes spotlight after bloody weekend in Chicago

Dr. Chico Tillmon, Executive Director of the Crime Lab’s Community Violence Intervention Leadership Academy, joins Fox 32’s Good Day Chicago to discuss his recent testimony at the Democratic National Convention’s Platform Committee Hearing.

Protected: Addressing Data Challenges to Prevent Domestic Homicide
UChicago Crime Lab
Jul 2024

Protected: Addressing Data Challenges to Prevent Domestic Homicide

There is no excerpt because this is a protected post.