Customizable probabilistic record linkage with Name Match | PyData NYC 2022
Linking individuals across records or datasets is often a critical prerequisite for building useful data tools and answering interesting research or business questions. But doing it right is difficult and time-consuming, in part because current off-the-shelf tools do not provide a measure of linking accuracy and are too rigid to incorporate the user’s domain knowledge. In this talk, we’ll 1) define high-quality record linkage and discuss why it matters, 2) show how record linkage can be boiled down to a simple prediction problem, and 3) introduce Name Match, a new open source tool for customizable probabilistic record linkage.
Unraveling the Threads of America’s Gun Culture
Megan Kang, a Crime Lab affiliate and Ph.D. candidate in sociology at Princeton University, outlines new historical evidence that charts the growth in firearm ownership.
Chicago nonprofits gather to discuss progress, solutions for gun violence
CBS Chicago’s Darius Johnson speaks with the Crime Lab’s Kim Smith and Dar’tavous Dorsey about the goals of the event, which hosted nearly 50 nonprofits from every corner of Chicago for its first gun violence prevention expo.
Strides for Peace to debut Gun Violence Prevention Expo
Strides for Peace hosted a new expo focusing on gun violence prevention in Chicago, featuring an information session from the Crime Lab’s Chico Tillmon.