We do not focus on predicting individual behavior, and do not suggest that anyone be charged with a crime that they didn’t commit, or be incarcerated for that. Our model learns from, and then predicts, event patterns in the urban space, for example, predicting that within a two block radius around the intersection of 67th Street and SW Avenue, there is a high risk of a homicide a week from now. It does not indicate who is going to be the victim or the perpetrator.

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We found that when stressed, the law enforcement response is seemingly different in high socio-economic-status (SES) areas compared to their more disadvantaged neighboring communities. It is suggested in the paper, that when crime rates spike, the higher SES neighborhoods tend to get more attention at the cost of resources drawn away from poorer neighborhoods.

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