The Resource Predict and surveil : data, discretion, and the future of policing, Sarah Brayne
Predict and surveil : data, discretion, and the future of policing, Sarah Brayne
Resource Information
The item Predict and surveil : data, discretion, and the future of policing, Sarah Brayne represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Waubonsee Community College.This item is available to borrow from 1 library branch.
Resource Information
The item Predict and surveil : data, discretion, and the future of policing, Sarah Brayne represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Waubonsee Community College.
This item is available to borrow from 1 library branch.
- Summary
- "The scope of criminal justice surveillance, from the police to the prisons, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. This book offers an inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement agencies in the world-the Los Angeles Police Department. Drawing on original interviews and ethnographic observations from over two years of fieldwork with the LAPD, the text examines the causes and consequences of big data and algorithmic control. It reveals how the police use predictive analytics and new surveillance technologies to deploy resources, identify criminal suspects, and conduct investigations; how the adoption of big data analytics transforms police organizational practices; and how the police themselves respond to these new data-driven practices. While big data analytics has the potential to reduce bias, increase efficiency, and improve prediction accuracy, the book argues that it also reproduces and deepens existing patterns of inequality, threatens privacy, and challenges civil liberties"--
- Language
- eng
- Extent
- ix, 210 pages
- Note
- Source of cataloging data: WCP
- Contents
-
- Introduction
- Policing by the Numbers: The History of Police Data and the Growing Role of the Private Sector
- Dragnet Surveillance: Policing our Digital Traces
- Directed Surveillance: Predictive Policing and the Quantification of Criminal Risk
- Police Pushback: When the Observer Becomes the Observed
- (De)Coding Inequality: The Promises and Perils of Police Use of Big Data
- Algorithmic Suspicion and Big Data Searches: How Laws are Anachronistic and Inadequate for Governing Police Work in the Digital Age
- Conclusion: Big Data as Social
- Isbn
- 9780190684099
- Label
- Predict and surveil : data, discretion, and the future of policing
- Title
- Predict and surveil
- Title remainder
- data, discretion, and the future of policing
- Statement of responsibility
- Sarah Brayne
- Language
- eng
- Summary
- "The scope of criminal justice surveillance, from the police to the prisons, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. This book offers an inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement agencies in the world-the Los Angeles Police Department. Drawing on original interviews and ethnographic observations from over two years of fieldwork with the LAPD, the text examines the causes and consequences of big data and algorithmic control. It reveals how the police use predictive analytics and new surveillance technologies to deploy resources, identify criminal suspects, and conduct investigations; how the adoption of big data analytics transforms police organizational practices; and how the police themselves respond to these new data-driven practices. While big data analytics has the potential to reduce bias, increase efficiency, and improve prediction accuracy, the book argues that it also reproduces and deepens existing patterns of inequality, threatens privacy, and challenges civil liberties"--
- Assigning source
- Provided by publisher
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- Brayne, Sarah
- Dewey number
- 363.2/32
- Illustrations
-
- illustrations
- maps
- Index
- index present
- LC call number
- HV7936.A8
- LC item number
- B73 2021
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/subjectName
-
- Police
- Crime analysis
- Crime forecasting
- Criminal behavior, Prediction of
- California
- Target audience
- adult
- Label
- Predict and surveil : data, discretion, and the future of policing, Sarah Brayne
- Note
- Source of cataloging data: WCP
- Bibliography note
- Includes bibliographical references (pages 161-201) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Introduction -- Policing by the Numbers: The History of Police Data and the Growing Role of the Private Sector -- Dragnet Surveillance: Policing our Digital Traces -- Directed Surveillance: Predictive Policing and the Quantification of Criminal Risk -- Police Pushback: When the Observer Becomes the Observed -- (De)Coding Inequality: The Promises and Perils of Police Use of Big Data -- Algorithmic Suspicion and Big Data Searches: How Laws are Anachronistic and Inadequate for Governing Police Work in the Digital Age -- Conclusion: Big Data as Social
- Control code
- on1150866041
- Dimensions
- 25 cm
- Extent
- ix, 210 pages
- Isbn
- 9780190684099
- Lccn
- 2020014315
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations, map
- System control number
- (OCoLC)1150866041
- Label
- Predict and surveil : data, discretion, and the future of policing, Sarah Brayne
- Note
- Source of cataloging data: WCP
- Bibliography note
- Includes bibliographical references (pages 161-201) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Introduction -- Policing by the Numbers: The History of Police Data and the Growing Role of the Private Sector -- Dragnet Surveillance: Policing our Digital Traces -- Directed Surveillance: Predictive Policing and the Quantification of Criminal Risk -- Police Pushback: When the Observer Becomes the Observed -- (De)Coding Inequality: The Promises and Perils of Police Use of Big Data -- Algorithmic Suspicion and Big Data Searches: How Laws are Anachronistic and Inadequate for Governing Police Work in the Digital Age -- Conclusion: Big Data as Social
- Control code
- on1150866041
- Dimensions
- 25 cm
- Extent
- ix, 210 pages
- Isbn
- 9780190684099
- Lccn
- 2020014315
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations, map
- System control number
- (OCoLC)1150866041
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.waubonsee.edu/portal/Predict-and-surveil--data-discretion-and-the/GvTJtT5EvAE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.waubonsee.edu/portal/Predict-and-surveil--data-discretion-and-the/GvTJtT5EvAE/">Predict and surveil : data, discretion, and the future of policing, Sarah Brayne</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.waubonsee.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.library.waubonsee.edu/">Waubonsee Community College</a></span></span></span></span></div>