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
How cognitive behavioral intervention is reducing gun violence in Chicago
Learn how Dr. Chico Tillmon, Executive Director of the Crime Lab’s Community Violence Intervention Leadership Academy, is building relationships with communities heavily affected by gun violence and providing services tailored to their needs.
Left in the dark: 25,000 streetlights are out in LA, putting safety at risk in some neighborhoods
KNBC Los Angeles covers research from the University of Chicago Crime Lab showing that street “lighting reduces outdoor nighttime crimes by approximately 36 percent.”
Does Nothing Stop a Bullet Like a Job?
Read Crime Lab Faculty Director Jens Ludwig’s latest op-ed arguing that violence tends to be a crime of passion, not economic desperation.
