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.

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lgrsnf/10.18574_nyu_9781479854608.001.0001.pdf

zlib/Society, Politics & Philosophy/Government & Politics/Andrew Guthrie Ferguson/The Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement_25879364.pdf

rise of big data policing: surveillance, race, and the future of law enforcement, The

Ferguson, Andrew Guthrie

First published in paperback, New York, 2020

New York University Press, New York, 2017

United States, United States of America

New York State, 2017

Reprint, 2019-11-15

Reprint, 2017

9999

degruyter.com

producers:
iTextSharp 5.1.3 (c) 1T3XT BVBA

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Includes bibliographical references (pages 203-246) and index.

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. -- Introduction : Big Data Policing -- Big Data's Watchful Eye : The Rise Of Data Surveillance -- Data Is The New Black? : The Lure Of Data-driven Policing -- Who We Police : Person-based Predictive Targeting -- Where We Police : Place-based Predictive Policing -- When We Police: Real-time Surveillance And Investigation -- How We Police : Datamining Digital Haystacks -- Black Data? : Distortions Of Race, Transparency, And Law -- Blue Data? : Policing Data -- Bright Data? : Risk And Remedy -- No Data : Filling Data Holes -- Conclusion : Questions For The Future. Andrew Guthrie Ferguson. Includes Bibliographical References And Index. Also Available As An Ebook.

"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." --Comprend des références bibliographiques

"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. This bookintroduces 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"-- Provided by the publisher

Winner, 2018 Law et Legal Studies PROSE AwardThe consequences of big data and algorithm-driven policing and its impact on law enforcementIn 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.

Introduction : big data policing
Big data's watchful eye : the rise of data surveillance
Data is the new black : the lure of data-driven policing
Whom we police : person-based predictive targeting
Where we police : place-based predictive policing
When we police : real-time surveillance and investigation
How we police : data mining digital haystacks
Black data : distortions of race, transparency, and law
Blue data : policing data
Bright data : risk and remedy
No data : filling data holes
Conclusion : questions for the future.

2023-08-20