Predictive Policing in Los Angeles
Authors & Project Staff
    Dr. Craig D. Uchida
    Shellie E. Solomon
    Mr. Gordon Aoyagi
    Ms. Maggie Goodrich (LAPD)
    Capt. Sean Malinowski (LAPD)
    Mr. Arnold Suzukamo (LAPD)
    Sgt. Javier Macias (LAPD)
    Joan Brody (LAPF)
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Since 2008 JSS has worked in partnership with the Los Angeles Police Department and the Los Angeles Police Foundation to develop and implement a new policing strategy that emphasizes the use of predictive analytics, new technologies, and criminological theory to predict crime locations and potential victims of crime.

Predictive Policing Definition: Predictive policing is a multidisciplinary, law enforcement-based strategy that brings together advanced technologies, criminological theory, predictive analysis, and tactical operations that ultimately lead to results and outcomes – crime reduction, management efficiency, and safer communities.

To implement predictive policing we have found that the following steps must be undertaken:

1. Data integration: identify, locate and secure data sources that are important to determining crime locations and potential victims. Use a basic platform (GIS, Palantir, other) to link the disparate data sources together and establish an ongoing data flow for real time information, to manage data integrity and to continuously clean and archive data.

2. Hardware/software: identify hardware and software requirements, evaluate possible solutions, carefully review all vendors, install and test the solutions, work closely with the City and LAPD information technology departments to integrate the new technology into the overall IT plans and management strategies. Many vendors claim to have a predictive analytic tool; these must be vetted and carefully reviewed. Seek ‘proofs of concepts’ from vendors before purchasing.

3. Procurement and cost analysis: document the procurement requirements, manage the bid process, including announcements, review and selection, and negotiation of contracts, as well as working closely with police and city personnel and managers to coordinate and track human resource requirements.

4. Testing: select appropriate crime types and appropriate areas for testing predictive policing. Ensure that the right people are implementing the predictive analytics and that field operations personnel (officers) are using the tools in the right places at the right time.

5. Evaluation: select evaluators to objectively determine whether the predictive analytic is useful and whether the tool is being used in the field by police officers.