Jennifer L. Eberhardt is a social psychologist at Stanford University who conducts research on social inequality. Through interdisciplinary collaborations and a wide-ranging array of methods—from laboratory studies to novel field experiments—her work has revealed the startling extent to which racial imagery and judgments shape actions and outcomes in our criminal justice system and in our neighborhoods, schools, and workplaces. Her team's use of body-worn camera footage as research data has opened new approaches to understanding and improving police-community interactions, work that provides the foundation for the methods applied in this report.

After receiving her Ph.D. from Harvard University, Eberhardt joined the faculty at Yale University in Psychology and in African & African American Studies. She later joined the Stanford faculty, where she is currently the William R. Kimball Professor and Professor of Organizational Behavior at Stanford Graduate School of Business, Professor of Psychology, and Faculty Director of Stanford SPARQ.

Eberhardt has been named a John D. and Catherine T. MacArthur Fellow, and has been elected to the National Academy of Sciences, the American Academy of Arts and Sciences, the British Academy, and the Academy of Experimental Criminology. Most recently, she was elected to the American Philosophical Society - the oldest learned society in the United States, founded in 1743 by Benjamin Franklin for the purpose of “promoting useful knowledge.” Eberhardt has served as president of the Association for Psychological Science – an organization with over 25,000 members worldwide. Amid unprecedented inequality and growing polarization around the world, she is enlisting science in the fight for a better tomorrow.

Rob Voigt is Assistant Professor of Linguistics at the University of California, Davis, where his research aims to develop and apply computational methods to understand the linguistic mechanisms of social problems in complex real-world domains. He has been studying procedural justice and accountability in policing for more than a decade, including as lead author on the first publication applying computational linguistic techniques to body camera footage in 2017. His research brings the theoretical toolkit of linguistics to bear on the person-to-person interactions that constitute the complex police-community relationship, and then leverages computational methods to scale up and compare across contexts and social groups, provide evidence for policy, and develop effective interventions.

At UC Davis, Rob directs the Linguistic Mechanisms Lab, which beyond the policing domain conducts research on multimodality in interaction, communication across social boundaries, computational methods for analyzing bias and polarization on social issues like gun violence and immigration, and the fundamental capacities of large language models. Rob holds a BA in Chinese from Vassar College and an MA in East Asian Studies as well as PhD in Linguistics from Stanford University.

Nick Camp is an Assistant Professor of Organizational Studies at the University of Michigan. His research applies psychological and behavioral science to police-community interactions: how law enforcement interacts with the communities they serve, how community members form the impressions of such interactions, and how to affect positive change in these contacts. In doing so, he has worked with  community and law enforcement stakeholders to apply body camera footage as data for uncovering patterns in policing and assess change.  

Nick leads the Mind in Society Lab at the University of Michigan, which broadly studies where individuals and institutions meet. The lab’s interdisciplinary work extends beyond policing to how people understand people, places, and organizations. Nick received his BA in Psychology from Columbia University, and holds a PhD in Psychology from Stanford University. 

Dan Sutton directs research on AI, public safety, and economic opportunity at Stanford Law School’s Center for Racial Justice, where his work examines the intersection of AI and the criminal justice system, policing regulations, and model use of force policies that have shaped regulations across the United States. His approach to research is informed by his experience in federal, state, and local government navigating complex public policy challenges. On the Rhode Island Attorney General’s leadership team, he designed criminal justice and police reform initiatives and negotiated settlements stemming from the nationwide opioid crisis; he also held senior economic policy positions in Governor Gina Raimondo’s Executive Office of Commerce. During Detroit’s historic bankruptcy, Dan advised the city’s Emergency Manager on rebuilding the city’s finances and services, and earlier in his career worked on national security issues at the White House Office of Management and Budget during the Obama administration. 

He teaches law and policy courses at Stanford and has advised law enforcement agencies, policymakers, and technology startups. Dan received his JD from the University of Michigan Law School and is a graduate of the Georgetown University School of Foreign Service.