Social and data scientists have made an algorithm they say can predict crime a week in advance with 90% accuracy.
The team, led by University of Chicago professor Ishanu Chattopadhyay, published its findings in the journal Nature Human Behavior.
The algorithm utilized historical data on violent crimes and property crimes for the U.S. city of Chicago to test the model, detecting the patterns over time to predict future events. Data was also gathered and tested equally well for other major U.S. cities, including Detroit, Atlanta, Philadelphia and San Francisco.
The team hopes the technology will lead to changes in how police resources are allocated.
The research attempted to address criticism of previous predictive crime models developed for major cities.