Criminal Futures : Predictive Policing and Everyday Police Work
This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Swi...
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Routledge
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2677410&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 2677410 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Criminal Futures : Predictive Policing and Everyday Police Work aug: au: Simon Egbert Matthias Leese sertl: Routledge Studies in Policing and Society isbn: 9780367349264 9780367643614 9780429328732 9781000281729 9781000281828 imageinfo: pubinfo: dt: @attributes: year: 2020 month: 01 day: 01 dtAvail: @attributes: year: 2021 month: 10 day: 11 pub: Routledge pubContract: Taylor & Francis (Unlimited) place: Abingdon price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: dewey: @attributes: class: 363.230285 item: 363 .230285 lc: @attributes: class: HV7431 .E43 2020 item: HV 7431 .E43 2020 artinfo: ui: 2677410 1229166045 formats: fmt: – @attributes: type: EB doid: NL$2677410$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$2677410$EPUB caption: EPUB download: Y tig: atl: Criminal Futures : Predictive Policing and Everyday Police Work ptl: Criminal Futures aug: au: Simon Egbert Matthias Leese su: Crime prevention--Technological innovations Police--Data processing Criminal behavior, Prediction of Crime forecasting sug: subj: POLITICAL SCIENCE / Security (National & International) POLITICAL SCIENCE / Law Enforcement SOCIAL SCIENCE / Criminology Crime prevention--Technological innovations Police--Data processing Criminal behavior, Prediction of Crime forecasting ab: This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Switzerland, this book provides a theoretically sophisticated and empirically detailed account of how the police produce and act upon criminal futures as part of their everyday work practices.The authors argue that predictive policing must not be analyzed as an isolated technological artifact, but as part of a larger sociotechnical system that is embedded in organizational structures and occupational cultures. The book highlights how, for crime prediction software to come to matter and play a role in more efficient and targeted police work, several translation processes are needed to align human and nonhuman actors across different divisions of police work. Police work is a key function for the production and maintenance of public order, but it can also discriminate, exclude, and violate civil liberties and human rights. When criminal futures come into being in the form of algorithmically produced risk estimates, this can have wide-ranging consequences. Building on empirical findings, the book presents a number of practical recommendations for the prudent use of algorithmic analysis tools in police work that will speak to the protection of civil liberties and human rights as much as they will speak to the professional needs of police organizations.An accessible and compelling read, this book will appeal to students and scholars of criminology, sociology, and cultural studies as well as to police practitioners and civil liberties advocates, in addition to all those who are interested in how to implement reasonable forms of data-driven policing. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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