PEOPLE OF THE STATE OF MICHIGAN V TERRY L. HARMON, 394 MICH 625 (1975)

PEOPLE OF THE STATE OF MICHIGAN V TERRY L. HARMON, 394 MICH 625 (1975)
Title PEOPLE OF THE STATE OF MICHIGAN V TERRY L. HARMON, 394 MICH 625 (1975) PDF eBook
Author
Publisher
Pages 66
Release 1975
Genre
ISBN

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56016

The Baldwin genealogy from 1500 to 1881

The Baldwin genealogy from 1500 to 1881
Title The Baldwin genealogy from 1500 to 1881 PDF eBook
Author C.C. Baldwin
Publisher Рипол Классик
Pages 989
Release 1991
Genre History
ISBN 5874721363

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DDT

DDT
Title DDT PDF eBook
Author United States. Environmental Protection Agency
Publisher
Pages 316
Release 1975
Genre DDT (Insecticide)
ISBN

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NCJRS Document Loan Program

NCJRS Document Loan Program
Title NCJRS Document Loan Program PDF eBook
Author National Institute of Law Enforcement and Criminal Justice
Publisher
Pages 24
Release 1975
Genre Crime
ISBN

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Iowa Official Register

Iowa Official Register
Title Iowa Official Register PDF eBook
Author
Publisher
Pages 900
Release 1907
Genre Iowa
ISBN

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Charlestown Navy Yard, Historic Resource Study, Volume 3 of 3, 2010

Charlestown Navy Yard, Historic Resource Study, Volume 3 of 3, 2010
Title Charlestown Navy Yard, Historic Resource Study, Volume 3 of 3, 2010 PDF eBook
Author
Publisher
Pages 234
Release 2011
Genre
ISBN

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The Rise of Big Data Policing

The Rise of Big Data Policing
Title The Rise of Big Data Policing PDF eBook
Author Andrew Guthrie Ferguson
Publisher NYU Press
Pages 267
Release 2019-11-15
Genre Law
ISBN 147986997X

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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.