Researchers from the University of Chicago have developed an algorithm they say can predict individual incidents of crime within 1,000 feet one week before they take place.Lead author Ishanu Chattopadhyay explained they created a digital twin of urban environments to make the predictions.
The researchers focused on these crimes because they were more likely to be reported in urban areas with a high level of distrust and lack of cooperation with law enforcement. “It’s not magical; there are limitations, but we validated it, and it works really well,” Chattopadhyay said.The algorithm also helped the researchers confirm bias in police responsiveness to crimes based on the area where a crime occurred.
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