Evidence-Based Detection, Management and Prevention of Police Misconduct | 6.42 MB
Title: Evidence-Based Detection, Management and Prevention of Police Misconduct
Author: Timothy Cubitt
Category: Nonfiction, Social & Cultural Studies, Social Science, Crimes & Criminals, Criminology
Language: English | 141 Pages | ISBN: 9783032140708
Description:
This book offers a comprehensive, evidence-based approach to understanding and preventing police misconduct in the twenty-first century. Drawing on empirical research across multiple jurisdictions, it explores how our understanding of police misconduct has evolved over time, tracing the changing view of how misconduct emerges, evolves, and persists within law enforcement organisations. Through detailed analyses of stress, typologies, disciplinary systems, prediction and early intervention, it demonstrates how misconduct can, at times, be identified and either managed or disrupted before escalating into crisis. Integrating perspectives on more advanced analytical methods, including machine learning, network analytics, life-course and longitudinal approaches, this book bridges theory, data, and practice to consider structural and behavioural roots of deviance among police. Rather than treating misconduct solely as an individual failing, it presents misconduct as a systemic challenge that demands holistic, data-driven reform. Combining an understanding of historical research with applied modern insights, it is important reading for policing professionals and researchers seeking to understand and build transparent and ethically resilient interventions for police misconduct.
This book offers a comprehensive, evidence-based approach to understanding and preventing police misconduct in the twenty-first century. Drawing on empirical research across multiple jurisdictions, it explores how our understanding of police misconduct has evolved over time, tracing the changing view of how misconduct emerges, evolves, and persists within law enforcement organisations. Through detailed analyses of stress, typologies, disciplinary systems, prediction and early intervention, it demonstrates how misconduct can, at times, be identified and either managed or disrupted before escalating into crisis. Integrating perspectives on more advanced analytical methods, including machine learning, network analytics, life-course and longitudinal approaches, this book bridges theory, data, and practice to consider structural and behavioural roots of deviance among police. Rather than treating misconduct solely as an individual failing, it presents misconduct as a systemic challenge that demands holistic, data-driven reform. Combining an understanding of historical research with applied modern insights, it is important reading for policing professionals and researchers seeking to understand and build transparent and ethically resilient interventions for police misconduct.
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