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
Kelly Leonard: How improv can help police do their job
Kelly Leonard joins WGN’s John Williams to discuss The Second City’s partnership with the Crime Lab’s Policing Leadership Academy that’s using improv to help officers improve their communication skills.
Novel approaches can chip away at gun violence, and make a big difference
In an op-ed for the Chicago Sun-Times, Crime Lab Pritzker Director Jens Ludwig argues that when it comes to gun violence, we’ve been focused on the wrong solutions – a key insight from his new book, “Unforgiving Places: The Unexpected Origins of American Gun Violence.”
New book challenges conventional wisdom on Chicago shootings
Crime Lab Pritzker Director Jens Ludwig joins WGN’s Mike Lowe for an interview to discuss his new book “Unforgiving Places: The Unexpected Origins of American Gun Violence,” and how the book challenges our conventional wisdom about why shootings occur and how we can make progress on gun violence.
