Criminal futures

dc.contributor.authorEgbert, Simon
dc.contributor.authorLeese, Matthias
dc.date.accessioned2021-01-05T11:08:13Z
dc.date.available2021-01-05T11:08:13Z
dc.date.issued2020-12-15
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.en
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2020en
dc.identifier.isbn978-0-429-32873-2
dc.identifier.isbn978-0-367-34926-4
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12339
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11182
dc.language.isoenen
dc.publisher.nameTaylor & Francisen
dc.publisher.placeLondonen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subject.ddc301 Soziologie, Anthropologiede
dc.subject.otherpredictive policingen
dc.subject.othercrimeen
dc.subject.otherdata scienceen
dc.titleCriminal futuresen
dc.title.subtitlePredictive policing and everyday police worken
dc.typeBooken
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.4324/9780429328732en
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Soziologiede
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.instituteInst. Soziologiede
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
Egbert_Leese_Criminal_2020.pdf
Size:
2.68 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.9 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections