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 Alumni Dispatch: How CVILA Alumni are Shaping Policy, Practice, and Narrative
Community Violence Intervention Leadership Academy (CVILA) Program Managers Alesisia Cobb and Heather Bland sat down with alumni DeVita Briscoe from Seattle, WA and Nikesha Tilton from Selma, AL to discuss the progress of their capstone projects, their evolving leadership roles, and the systemic changes they’re pushing forward in their cities and states.
Shaping the Future of Policing Through Commander Training
Policing Leadership Academy (PLA) Executive Director Meredith Stricker and Director of Outreach and Engagement Kenneth Corey join the Brooks Bawden Moore, LLC podcast to discuss the academy’s focus on commanders and helping departments across the country reduce violence and strengthen public safety.
The federal help Chicago really needs
The Policing Leadership Academy’s Meredith Stricker and Kenneth Corey penned an op-ed discussing the recent spotlight on crime in the U.S. and the academy’s focus on building the capacity of police commanders managing jurisdictions with the highest rates of violence.
