Research Catalog
Predict and surveil : data, discretion, and the future of policing
- Title
- Predict and surveil : data, discretion, and the future of policing / Sarah Brayne.
- Author
- Brayne, Sarah
- Publication
- New York, NY : Oxford University Press, [2021]
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| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
Available - Can be used on site. Please visit New York Public Library - Schwarzman Building to submit a request in person. | Text | Use in library | JFE 21-7342 | Schwarzman Building - Main Reading Room 315 |
Details
- Description
- ix, 210 pages : illustrations, map; 25 cm
- 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"--
- Subjects
- California
- California > Los Angeles
- Police > Data processing
- Criminal behavior, Prediction of > Statistical methods
- Crime analysis > Data processing
- Criminal behavior, Prediction of > California > Los Angeles > Statistical methods
- Crime forecasting > California > Los Angeles > Statistical methods
- Crime analysis > California > Los Angeles > Data processing
- Police > California > Los Angeles > Data processing
- Bibliography (note)
- Includes bibliographical references (pages 161-201) and index.
- Contents
- Introduction: Policing Our Digital Traces -- Policing by Numbers: The Public History and Private Future of Police Data -- Dragnet Surveillance: Our Incriminating Lives -- Directed Surveillance: Predictive Policing and Quantified Risk -- Police Pushback: When the Watcher Becomes the Watched -- Coding Inequality: How the Use of Big Data Reduces, Obscures, and Amplifies Inequalities -- Algorithmic Suspicion and Big Data Searches: The Inadequacy of Law in the Digital Age -- Conclusion: Big Data as Social.
- Call Number
- JFE 21-7342
- ISBN
- 9780190684099
- 0190684097
- LCCN
- 2020014315
- OCLC
- 1150866041
- Author
- Brayne, Sarah, author.
- Title
- Predict and surveil : data, discretion, and the future of policing / Sarah Brayne.
- Publisher
- New York, NY : Oxford University Press, [2021]
- Type of Content
- text
- Type of Medium
- unmediated
- Type of Carrier
- volume
- Bibliography
- Includes bibliographical references (pages 161-201) and index.
- Local Note
- AUTH: UNIVERSITY OF TEXAS, AUSTIN.
- Other Form:
- Online version: Brayne, Sarah. Predict and surveil New York, NY : Oxford University Press, [2021] 9780190684112 (DLC) 2020014316
- Research Call Number
- JFE 21-7342