Social scientists from the University of Chicago have formulated an algorithm that claims 90% accuracy in forecasting crime - detecting patterns of time to predict future events.
This isn't the first algorithm to look at this problem, but previous models identified emerging 'hotspots' which was subject to bias. The new model claims to be able to ask questions like 'what happens to the crime rate if property crimes increase?'... which could be a better measure.
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