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
We’ve Been Thinking About Gun Violence All Wrong
Jens Ludwig, Crime Lab Pritzker Director and author of “Unforgiving Places: The Unexpected Origins of American Gun Violence,” pens an op-ed for TIME Magazine arguing that the root cause of gun violence is not what we think it is — rather than a deliberate, rational act, most shootings start with arguments that escalate and end in tragedy because someone has a gun.
The Indicator from Planet Money: What we misunderstand about gun violence
Crime Lab Pritzker Director Jens Ludwig joins NPR’s The Indicator from Planet Money podcast to discuss why he believes many of us fundamentally misunderstand the problem of gun violence and how behavioral economics reveals some potential solutions.
Rethinking Gun Violence
Vital City sat down with Crime Lab Pritzker Director Jens Ludwig to discuss his new book, Unforgiving Places: The Unexpected Origins of American Gun Violence,” which shows how changing individual behavior is possible — and that these changes can result in declines in gun violence.
