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
Mastering the art of command: Inside the Policing Leadership Academy with retired NYPD Chief Kenneth Corey
Kenneth Corey, retired NYPD Chief and Director of Outreach and Engagement for the Crime Lab’s Policing Leadership Academy, joins the Policing Matters Podcast to discuss the Academy’s innovative approach to training police commanders.
Madison Police Department captain recognized nationally as a rising police leader
Captain Stephanie Drescher, a graduate of the Policing Leadership Academy, was awarded the 2024 Past President Scholarship at the National Association of Women Law Enforcement Executives conference for their work on domestic violence homicides.
Second Chance Month: Centering Lived Experience in Violence Intervention
In recognition of Second Chance Month, the National League of Cities’ Maryam Ahmed and Kirby Gaherty write about the importance of centering “credible messengers”—people with lived experience in the justice system—to advance community safety and highlight the Crime Lab’s Community Violence Intervention Leadership Academy.
