
______
Erin Hammers Forstag, Rapporteur
Committee on Law and Justice
Computer Science and Telecommunications Board
Division of Behavioral and Social Sciences and Education
Proceedings of a Workshop
NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001
This activity was supported by a contract between the National Academy of Sciences and National Institute of Justice (AWD-15PNIJ-23-GG-04263-NIJB). Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
International Standard Book Number-13: 978-0-309-72918-5
International Standard Book Number-10: 0-309-72918-1
Digital Object Identifier: https://doi.org/10.17226/28036
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Suggested citation: National Academies of Sciences, Engineering, and Medicine. 2025. Law Enforcement Use of Predictive Policing Approaches: Proceedings of a Workshop. Washington, DC: National Academies Press. https://doi.org/10.17226/28036.
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DAVID WEISBURD (Chair), Professor of Criminology, Director of the Center for Evidence-Based Crime Policy, George Mason University
SARAH BRAYNE, Associate Professor of Sociology, The University of Texas at Austin
ANDREW G. FERGUSON, Professor of Law, American University Washington College of Law
ANDREA HEADLEY, Assistant Professor of Public Policy, Georgetown University McCourt School of Public Policy
PHILIP LUKENS, Chief of Police, Alliance, Nebraska (retired)
KIM NEAL, Office of Independent Policing Auditor, City of Alexandria Board of Directors, National Association for Civilian Oversight of Law Enforcement
AMANDA GRIGG, Project Director, Senior Program Officer
ABIGAIL ALLEN, Associate Program Officer
STACEY SMIT, Program Coordinator
EMILY BACKES, Deputy Board Director
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This Proceedings of a Workshop was reviewed in draft form by individuals chosen for their diverse perspectives and technical expertise. The purpose of this independent review is to provide candid and critical comments that will assist the National Academies of Sciences, Engineering, and Medicine (National Academies) in making each published proceedings as sound as possible and to ensure that it meets the institutional standards for quality, objectivity, evidence, and responsiveness to the charge. The review comments and draft manuscript remain confidential to protect the integrity of the process.
We thank the following individuals for their review of this proceedings:
CHARLOTTE GILL, George Mason University
SHEENA POSEY NORRIS, National Academies of Sciences, Engineering, and Medicine
Although the reviewers listed above provided many constructive comments and suggestions, they were not asked to endorse the content of the proceedings nor did they see the final draft before its release. The review of this proceedings was overseen by ALEXIS PIQUERO, Bureau of Justice Statistics. He was responsible for making certain that an independent examination of this proceedings was carried out in accordance with standards of the National Academies and that all review comments were carefully considered. Responsibility for the final content rests entirely with the rapporteur and the National Academies.
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The National Academies of Sciences, Engineering, and Medicine’s Committee on Law and Justice (CLAJ) expresses its sincere gratitude to the planning committee chair, David Weisburd, for his valuable contributions to the development and orchestration of this workshop. CLAJ also wishes to thank all members of the planning committee, who collaborated to ensure the workshop had an abundance of informative presentations and moderated discussions. CLAJ would also like to recognize the critical support of our workshop sponsor, the National Institute of Justice, without which we could not have undertaken this project. It is due to their dedication to improving knowledge and understanding of crime and justice issues through science that we were able to facilitate this timely event.
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2 Place-Based Predictive Policing
HISTORY OF PLACE-BASED PREDICTIVE POLICING
EVIDENCE ON PLACE-BASED PREDICTIVE POLICING
Findings from a Systematic Review
NEXT-GENERATION PLACE-BASED PREDICTIVE POLICING
3 Person-Based Predictive Policing
HISTORY OF PERSON-BASED PREDICTIVE POLICING
EVIDENCE ON PERSON-BASED PREDICTIVE POLICING
4 Key Considerations for Predictive Policing Technologies
ETHICAL ARTIFICIAL INTELLIGENCE
PERSPECTIVES FROM COMPUTER SCIENCE
5 Community Responses to Predictive Policing
COMMUNITY DEFINITIONS OF PREDICTIVE POLICING
COMMUNITY EFFORTS AND CONCERNS
ALTERNATIVES TO PREDICTIVE POLICING
6 Moving Forward: Reflections on the Future of Predictive Policing
IS THERE A PLACE FOR PREDICTIVE POLICING IN THE FUTURE OF POLICING?
HOW CAN POLICING PRIORITIZE COMMUNITY TRUST?
WHAT DOES THE NEXT PHASE OF PREDICTIVE POLICING LOOK LIKE?
WHAT ARE THE ROLES OF DECISION MAKERS AND CONSTITUENTS IN THE FUTURE OF PREDICTIVE POLICING?
HOW WILL FUTURE PREDICTIVE POLICING BE EVALUATED?
Community Engagement and Trust
Appendix A Public Meeting Agendas
Appendix B Workshop Planning Committee and Speaker Biographies
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| AI | artificial intelligence |
| BJA | Bureau of Justice Assistance |
| CPD | Chicago Police Department |
| FDA | U.S. Food and Drug Administration |
| LA | Los Angeles |
| LAPD | Los Angeles Police Department |
| LASER | Los Angeles Strategic Extraction and Restoration |
| NACDL | National Association of Criminal Defense Lawyers |
| NIJ | National Institute of Justice |
| SSL | Strategic Subject List |
| TRAP | Targeted Repeat-Offender Apprehension and Prosecution |
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