Predict and surveil, data, discretion, and the future of policing, Sarah Brayne
The work Predict and surveil, data, discretion, and the future of policing, Sarah Brayne represents a distinct intellectual or artistic creation found in Waubonsee Community College.

Resource ID
  • HtTcuG0xT_s
Is active
  • True
Rules version
  • 2
  • Predict and surveil, data, discretion, and the future of policing, Sarah Brayne
Main title
  • Predict and surveil
Sub title
  • data, discretion, and the future of policing
Responsibility statement
  • Sarah Brayne
  • eng
  • "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"--, Provided by publisher
Bibliography note
  • Includes bibliographical references (pages 161-201) and index
  • illustrations
  • maps
  • index present
Literary form
  • non fiction
Nature of contents
  • bibliography
OCLC Number
  • 1150866041
Table of 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
Target audience
  • adult
Content category
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