MARC Bibliographic Record

LEADER05460cam a2200733 i 4500
001 991022185725802122
005 20171212082332.0
008 170503s2017 nyu b 001 0 eng c
010    $a 2017012924
020    $a9781479892822$q(hardcover)
020    $a1479892823$q(hardcover)
035    $a(OCoLC)978352094
035    $a(OCoLC)ocn978352094
035    $a(EXLNZ-01UWI_NETWORK)9912333465102121
040    $aYLS/DLC$beng$erda$cYLS$dDLC$dBDX$dYDX$dBTCTA$dOCLCF$dOCLCO$dDCJ$dJAI$dGZL$dYDX$dIHV$dFIE$dIGA$dTXWBR$dDEBBG
042    $apcc
043    $an-us---
049    $aWISM
050 00 $aHV8141$b.F47 2017
082 00 $a363.2/32028557$223
100 1_ $aFerguson, Andrew G.,$eauthor.
245 14 $aThe rise of big data policing :$bsurveillance, race, and the future of law enforcement /$cAndrew Guthrie Ferguson.
264 _1 $aNew York :$bNew York University Press,$c[2017]
300    $avii, 259 pages ;$c24 cm
336    $atext$btxt$2rdacontent
337    $aunmediated$bn$2rdamedia
338    $avolume$bnc$2rdacarrier
504    $aIncludes bibliographical references (pages 203-246) and index.
505 0_ $aIntroduction : 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.
520    $aIn a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual "most-wanted" lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies - viewed as race-neutral and objective - have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to "turn the page" on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. --$cProvided by publisher.
650 _0 $aLaw enforcement$zUnited States$xData processing.
650 _0 $aPolice$zUnited States$xData processing.
650 _0 $aBig data$zUnited States.
650 _0 $aData mining in law enforcement$zUnited States.
650 _0 $aElectronic surveillance$zUnited States.
650 _0 $aCriminal statistics$zUnited States.
650 _0 $aDiscrimination in law enforcement$zUnited States.
650 _0 $aRacial profiling in law enforcement$zUnited States.
650 _7 $aBig data.$2fast$0(OCoLC)fst01892965
650 _7 $aCriminal statistics.$2fast$0(OCoLC)fst00883500
650 _7 $aData mining in law enforcement.$2fast$0(OCoLC)fst01747495
650 _7 $aDiscrimination in law enforcement.$2fast$0(OCoLC)fst00895102
650 _7 $aElectronic surveillance.$2fast$0(OCoLC)fst00907477
650 _7 $aLaw enforcement$xData processing.$2fast$0(OCoLC)fst00993947
650 _7 $aPolice$xData processing.$2fast$0(OCoLC)fst01068426
650 _7 $aRacial profiling in law enforcement.$2fast$0(OCoLC)fst01086589
651 _7 $aUnited States$2fast$0(OCoLC)fst01204155
650 _7 $aLAW / Criminal Law.$2bisacsh
650 _7 $aPOLITICAL SCIENCE / Law Enforcement.$2bisacsh
650 _4 $aDiscrimination in law enforcement.
650 _4 $aRacial profiling in law enforcement.
650 _4 $aPolice$zUnited States$xData processing.
650 _4 $aData mining in law enforcement.
650 _4 $aLaw enforcement$xData processing.
650 _4 $aPolice$xData processing.
650 _4 $aCriminal statistics.
650 _4 $aRacial profiling in law enforcement$zUnited States.
650 _4 $aElectronic surveillance$zUnited States.
650 _4 $aBig data.
650 _4 $aLaw enforcement$zUnited States$xData processing.
650 _4 $aElectronic surveillance.
651 _4 $aUnited States.

MMS IDs

Document ID: 9912333465102121
Network Electronic IDs:
Network Physical IDs: 9912333465102121
mms_lc_ids: 991016758021202125
mms_mad_ids: 991022185725802122
mms_pl_ids: 99901431730302127
mms_sf_ids: 991015062425602130