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dc.contributor.authorEgbert, Simon
dc.contributor.authorLeese, Matthias
dc.date.accessioned2020-11-12T10:04:04Z
dc.date.available2020-11-12T10:04:04Z
dc.date.issued2021
dc.identifierONIX_20201112_9781000281729_4
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/42895
dc.description.abstractThis 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.
dc.languageEnglish
dc.relation.ispartofseriesRoutledge Studies in Policing and Society
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKS Social welfare and social services::JKSW Emergency services::JKSW1 Police and security servicesen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JK Social services and welfare, criminology::JKV Crime and criminologyen_US
dc.subject.otherAlgorithmic Policing
dc.subject.otherCritical Security Studies
dc.subject.otherOrganizational change
dc.subject.otherPolice Culture
dc.subject.otherPolice Organization
dc.subject.otherPolice Practice
dc.subject.otherPolicing and Security
dc.subject.otherPredictive Policing
dc.subject.otherSurveillance Studies
dc.titleCriminal Futures
dc.title.alternativePredictive Policing and Everyday Police Work
dc.typebook
oapen.identifier.doi10.4324/9780429328732
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.imprintRoutledge
oapen.pages242
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review
oapen.review.commentsTaylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required).


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