Author:
Publisher:
ISBN:
Category : Criminal justice, Administration of
Languages : en
Pages : 664

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Book Description

Author:
Publisher:
ISBN:
Category : Law enforcement
Languages : en
Pages : 484

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Author: Kevin M. Gilmartin
Publisher:
ISBN: 9780971725416
Category : Law enforcement
Languages : en
Pages : 0

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Book Description
This book is designed to help law enforcement professionals overcome the internal assaults they experience both personally and organizationally over the course of their careers. These assaults can transform idealistic and committed officers into angry, cynical individuals, leading to significant problems in both their personal and professional lives.

Author: Tamara Rice Lave
Publisher: Cambridge University Press
ISBN: 1108420559
Category : Law
Languages : en
Pages : 615

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Book Description
A comprehensive collection on police and policing, written by experts in political theory, sociology, criminology, economics, law, public health, and critical theory.

Author: Andrew Guthrie Ferguson
Publisher: NYU Press
ISBN: 147986997X
Category : Law
Languages : en
Pages : 267

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Book Description
Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

Author:
Publisher:
ISBN:
Category : Criminal investigation
Languages : en
Pages : 432

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Author:
Publisher:
ISBN:
Category : Law enforcement
Languages : en
Pages : 1190

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Author:
Publisher:
ISBN:
Category : Criminal records
Languages : en
Pages : 84

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Author: United States. National Advisory Commission on Criminal Justice Standards and Goals
Publisher:
ISBN:
Category :
Languages : en
Pages : 694

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Book Description

Author: Leslie W. Kennedy
Publisher: University of California Press
ISBN: 0520295633
Category : Social Science
Languages : en
Pages : 166

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Book Description
Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.