Predpol

PredPol uses a machine-learning algorithm to calculate its predictions on where crimes will occur. Historical event datasets are used to train the algorithm for each new city (ideally 2 to 5 years of data). It then updates the algorithm each day with new events as they are received from the department. This information comes from the agency’s records management system (RMS). PredPol uses ONLY 3 data points – crime type, crime location, and crime date/time – to create its predictions. No personally identifiable information is ever used. No demographic, ethnic or socio-economic information is ever used. This eliminates the possibility for privacy or civil rights violations seen with other intelligence-led policing models.

Predpol