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 a study in the Stockholm subway could help prevent violent crime
We need to learn the lessons from an ingenious piece of research done in Sweden and radically change policies around interpersonal violence, says UChicago Crime Lab director Jens Ludwig.
‘Definitely a cause for hope’ UChicago economist says of new book on causes of gun violence
America has a fundamental misunderstanding of what drives gun violence, and it’s prevented us from solving the problem. That’s according to the new book “Unforgiving Places”, by University of Chicago economist and Crime Lab director Jens Ludwig.
Understanding Gun Violence in America
Steve Davies and Jens Ludwig discuss why America has so many gun deaths, how traditional narratives fail to explain most gun violence, and why past policies failed to reduce the deadly toll. Ludwig speaks about his new book, grounded in evidence and behavioral insights to further explain gun violence.
