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Universitas PGRI Kanjuruhan Malang

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Image of Criminal Futures: Predictive Policing and Everyday Police Work

Electronic Resource

Criminal Futures: Predictive Policing and Everyday Police Work

Simon Egbert - Nama Orang; Matthias Leese - Nama Orang;

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.


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Informasi Detail
Judul Seri
-
No. Panggil
345.05 SIM c
Penerbit
London : Routledge., 2020
Deskripsi Fisik
242 pages
Bahasa
English
ISBN/ISSN
9780429328732
Klasifikasi
345.05
Tipe Isi
text
Tipe Media
PDF
Tipe Pembawa
online resource
Edisi
1st Edition
Subjek
Computer Science
Politics & International Relations
Economics
Social Sciences
Finance
Business & Industry
Law
Info Detail Spesifik
-
Pernyataan Tanggungjawab
-
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • 9780429328732
    Open Access
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Perpustakaan Universitas PGRI Kanjuruhan Malang, menyajikan bahan-bahan referensi yang bisa dijadikan referensi untuk civitas akadmika dan umum. silahkan manfaatkan koleksi bahan pustaka yang ada untuk menunjang Pendidikan, Penelitian, dan untuk menambah wawasan kita

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