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Stanford big data study finds racial disparities in Oakland, Calif., police behavior, offers solutions

Jennifer Eberhardt speaking with Oakland PD

Jennifer Eberhardt, an associate professor of psychology at Stanford who led the research study, offered training to the Oakland Police Department on how implicit bias can influence decision making and behavior.

Image Credit: Kurt Hickman
Jun 15 2016

Posted In:

Faculty, In the News, Research

Stanford researchers analyzing thousands of data points found racial disparities in how Oakland Police Department officers treated African Americans on routine traffic and pedestrian stops. The researchers suggest 50 measures to improve police-community relations, such as better data collection, bias training and changes in cultures and systems.

New Stanford research on thousands of police interactions found significant racial differences in Oakland, California, police conduct toward African Americans in traffic and pedestrian stops, while offering a big data approach to improving police-community relationships there and elsewhere.

The report makes 50 specific recommendations for police agencies to consider, such as more expansive data collection and more focused efforts to change the nature of mindsets, policies and systems in law enforcement that contribute to racial disparities.