Elected officials

Improve Community-Driven Violence Prevention Programs

Community-driven violence prevention and intervention strategies must be developed to supplement policing efforts. These should be data-driven, tailored to neighborhood needs, and focused on at-risk individuals. Community-based violence prevention programs should be evaluated for a variety of performance metrics, including changes in community perceptions (such as fear of crime and police-community relations) and disproportionate impacts…

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Improve Technical Solutions to Challenges Created by Body-Worn Cameras  

Research is needed to improve technologies regarding body-worn camera data management, particularly the preservation of evidence and redaction of private information not suitable for public release.

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Collect and Disseminate Traffic Stop Data at the Agency and State Levels and Disseminate to the Public

Detailed data on officer traffic stops should be collected at the agency and state levels and submitted to a centralized state repository. These data should include the time, date, and precise location of the stop, the reason for the stop, and the outcomes, including searches and searches incidental to arrest, contraband recovery, arrests and charges, and the…

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Implement Diverse Approaches to Reduce Traffic Injuries and Fatalities

Implement a variety of evidence-based strategies to reduce traffic-related injuries and fatalities, particularly where they disproportionately occur among groups and within communities. Proposed frameworks include the Data-Driven Approaches to Crime and Traffic Safety (DDACTS) model, education campaigns, and roadway modification.

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Explore and Evaluate Alternatives to Traditional Traffic Enforcement and Roadway Safety Approaches

Alternative approaches to enforce traffic laws and improve roadway safety should be explored, including civilian-based organizations to enforce minor traffic and vehicle violations and respond to non-injury traffic collisions. Alternative strategies should be rigorously and independently evaluated for their impact on outcomes, including public safety and racially disparate impacts.

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Change Laws and Policies Regarding the Use of Pretextual (Investigative) Stops

Policies and laws that encourage or allow pretextual stops for minor safety violations, such as items hanging from mirrors, lights out, and other minor mechanical issues, should be changed.

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Abolish Performance Incentives and ‘Quotas’ Based on the Volume of Traffic Stops

Agencies must stop the use of traffic stop volume as a performance measure. Agencies should instead rely on problem-solving approaches that use stops when and where data suggests that traffic-safety issues (collisions, complaints) or crime may be prevalent.

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​Reduce Reliance on Traffic Stops

Traffic stops, while not always improving driver and pedestrian safety, must be reduced to decrease the criminalization of community members and racial and economic disparities. Alternative traffic-safety strategies focusing on high-risk behaviors, including automated tools and civilian-led traffic-safety enforcement. Alternative strategies should be rigorously evaluated to determine their effectiveness in reducing disparate impact and negative police-community…

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Participate in Federal Data Collection Efforts

Wherever possible, agencies should voluntarily send data to federal data collection systems designed to better inform law enforcement agencies and communities and offer critical, comprehensive, and data-driven evidence to improve the effectiveness and transparency of policing activities. For example, the Federal Bureau of Investigation (FBI) collects voluntarily reported data on officer use of force and…

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Maximize the Value of Data by Ensuring Its Consistency

To maximize the understanding of regional, state, and national public safety as well as policing trends, data must be in a consistent format. Funding partners and researchers to make data consistent and unifying and merging data sets to allow comparison with other data sources will help maximize the value of policing data.

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