One of the most frustrating aspects of police work is that, for the most part, crime must be fought after the fact. If only the police could predict crimes and stop them preemptively! It now appears that something along those lines may actually be possible: Police in Santa Cruz are using software which uses yesterday's crimes to predict where tomorrow's will be.
Peter Murray at Singularity Hub explains how, working together, a team of mathematicians, an anthropologist, and a criminologist have adapted the model used to predict earthquake aftershocks to predict crime. They can do this because many crimes are committed in sequence: One burglary portends another nearby. By crunching the numbers, police can surf the wave of incoming burglary data, generating a rough map of the areas most likely to be burglarized:
1832 map of property crime in France by the first criminologist, André-Michel Guerry.
The current, real world test of the software involves generating a map of the city areas most likely to be burglarized, the time of day they are most likely to get hit, and deploying personnel accordingly. The software is recalibrated every day when burglaries from the previous day are added to the dataset. They don’t actually expect to catch people in the act, but to deter more crimes with more effective patrolling. The test that is underway will be evaluated at six months, but already the data is encouraging.... The program led to five arrests in July. Even more impressive, compared to July 2010 burglaries, the number of July 2011 burglaries are down 27 percent.
Next, the mathematicians plan to extend their model, creating "software that predicts crimes other than burglaries. Because gang violence begets more gang violence it is amenable to the same type of chain reaction-dependent analysis." Mathematician George Mohler and the rest of the team "have already begun working on a gang violence model using the activities of three gang rivalries in Los Angeles." Read more at Singularity Hub.
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