Risk-Based Policing

Leslie W. Kennedy is University Professor of Criminal Justice at Rutgers University and Director of the Rutgers Center on Public Security. Joel M. Caplan is Associate Professor at Rutgers Universitys School of Criminal Justice and Deputy Director of the Rutgers Center on Public Security. He has professional experience as a police officer, 9-1-1 dispatcher, and emergency medical technician. Eric L. Piza is Associate Professor at John Jay College of Criminal Justice, City University of New York. Prior to joining academia, he served as the Geographic Information Systems Specialist for the Newark Police Department in New Jersey.

Preface Acknowledgments PART 1: THE BASIC PRINCIPLES OF RISK-BASED POLICING 1. Introduction to Risk and Big Data Introduction to Risk-Based Policing in Crime Prevention The Importance of Risk Big Data Risk-Based Policing Conclusion 2. The Evolution of Modern Policing Introduction Police Reform and Professionalization From Professionalism to Problem-Solving The Importance of Places and Data Analysis in Contemporary Policing Conclusion 3. Policing in the New Era of Public Safety and Law Enforcement Focus on Places with Risk Terrain Modeling The Central Tenets of Risk-Based Policing Develop Spatial Risk Narratives Solicit and Value Input from Multiple Stakeholders Make Data-Driven Decisions Balance Strategies for Crime Risk Reduction Conclusion 4. Risk-Based Policing and ACTION Introduction Risk Governance and the Police Leader ACTION Meetings A Detailed Breakdown of the ACTION Agenda The Uncertainty in Risk Governance Conclusion PART 2: METHODS AND CASE STUDIES OF RISK-BASED POLICING 5. The Theory of Risky Places Introduction Theories Relevant to Risk-Based Policing Conclusion 6. High-Risk Target Areas and Priority Places Introduction Studying Exposure and Vulnerability to Crime Brooklyn as a Case Study Conclusion 7. The Role of Police in Risk-Based Policing: Case Studies of Colorado Springs, Glendale, Newark, and Kansas City Introduction Risk Assessment Methodology Findings Connecting Risk Assessments to Intervention Conclusion 8. Facilitators and Impediments to Designing, Implementing, and Evaluating Risk-Based Policing Strategies: Insights from Completed ResearcherPractitioner Partnerships Introduction ResearcherPractitioner Partnerships Planned Change and Program Implementation Risk-Based Policing Partnerships Findings Conclusion 9. The Roles of Multiple Stakeholders in Risk-Based Policing: Case Studies of Jersey City and Atlantic City Introduction ACTION Meetings in Jersey City Risk-Based Policing in Atlantic City Conclusion 10. People Make Risk-Based Policing and Data Actionable Valuing Data: Lessons Learned Beyond Training and into Active Problem Solving Conclusion Epilogue References Index