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Predict and SurveilData, Discretion, and the Future of Policing$
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Sarah Brayne

Print publication date: 2020

Print ISBN-13: 9780190684099

Published to Oxford Scholarship Online: October 2020

DOI: 10.1093/oso/9780190684099.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 01 December 2021

Introduction

Introduction

Policing Our Digital Traces

Chapter:
(p.1) Chapter 1 Introduction
Source:
Predict and Surveil
Author(s):

Sarah Brayne

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190684099.003.0001

This introductory chapter provides a definition of big data as well as an overview of the use of big data in policing. Big data is a data environment made possible by the mass digitization of information and is associated with the use of advanced analytics, including network analysis and machine learning algorithms. Law enforcement’s adoption of big data is part of a broader shift toward the use of big data and machine-learned decisions throughout the criminal justice system. From surveillance to pretrial determinations and sentencing, big data saturates American criminal justice. It is also the subject of contentious debate in policy, media, legal, regulatory, advocacy, and academic circles. Focusing on the Los Angeles Police Department’s use of big data and associated surveillance technologies, this book studies how big data is actually used by police in practice—and to what consequence.

Keywords:   big data, machine learning, algorithms, law enforcement, criminal justice system, big data analysis, American criminal justice, LAPD, surveillance technologies, police, policing

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