did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780190684099

Predict and Surveil Data, Discretion, and the Future of Policing

by
  • ISBN13:

    9780190684099

  • ISBN10:

    0190684097

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2020-11-02
  • Publisher: Oxford University Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $31.99 Save up to $20.25
  • Rent Book $11.74
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    IN STOCK USUALLY SHIPS IN 24 HOURS.
    HURRY! ONLY 3 COPIES IN STOCK AT THIS PRICE
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

The scope of criminal justice surveillance 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, healthcare, 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.

In Predict and Surveil, Sarah Brayne offers an unprecedented, 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, Brayne examines the causes and consequences of algorithmic control. She reveals how the police use predictive analytics to deploy resources, identify 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-intensive practices. Although big data analytics holds potential to reduce bias and increase efficiency, Brayne argues that it also reproduces and deepens existing patterns of social inequality, threatens privacy, and challenges civil liberties.

A groundbreaking examination of the growing role of the private sector in public policing, this book challenges the way we think about the data-heavy supervision law enforcement increasingly imposes upon civilians in the name of objectivity, efficiency, and public safety.

Author Biography


Sarah Brayne is Assistant Professor of Sociology at The University of Texas at Austin. Prior to joining the faulty at UT-Austin, Brayne was a Postdoctoral Researcher at Microsoft Research. Brayne is the founder and director of the Texas Prison Education Initiative, a group of faculty and students who volunteer teach college classes in prisons throughout Texas.

Table of Contents


Acknowledgements
Chapter 1. Introduction
Chapter 2. Policing by the Numbers
Chapter 3. Dragnet Surveillance
Chapter 4. Directed Surveillance
Chapter 5. Police Pushback
Chapter 6. Divided by Data
Chapter 7. Litigating Data
Chapter 8. Conclusion: Big Data as Social
Appendix
Notes
References
Index

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program