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In 2022, data analysts and social scientists at the university of chicago developed an algorithm they say can predict crimes one week in advance. They loaded it with three years worth of data focusing on violent crimes including homicides and assault, as well as property crimes such as burglary and car theft. How many people we forecast the jails will need to hold over the next decades is essential in deciding what and how big we build.
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However, as technology continues to advance at an unprecedented pace, the future of arrest records is poised for a significant transformation. Innovations in data management, artificial intelligence, and predictive analytics are reshaping the way we understand and utilize arrest records. After testing various models, we found that the most accurate one includes the number of arrests in the current month, the number of arrests from one month ago and the number of arrests from two months ago. There is no historical analog to this, so there really is nothing to point to within homicide alone to make a prediction.
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Data and social scientists from the university of chicago have developed a new algorithm that forecasts crime by learning patterns in time and geographic locations from public data on violent and property crimes. The model can predict future crimes one week in advance with about 90% accuracy.
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