Winner, 2018 Law & Legal Studies PROSE Award The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and police officers to a wealth of law enforcement intelligence. This is just a glimpse into a future where software predicts future crimes, algorithms generate virtual “most-wanted” lists, and databanks collect personal and biometric information. The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices. After a series of high-profile police shootings and federal investigations into systemic police misconduct, and in an era of law enforcement budget cutbacks, data-driven policing has been billed as a way to “turn the page” on racial bias. But behind the data are real people, and difficult questions remain about racial discrimination and the potential to distort constitutional protections. In this first book on big data policing, Ferguson offers an examination of how new technologies will alter the who, where, when and how we police. These new technologies also offer data-driven methods to improve police accountability and to remedy the underlying socio-economic risk factors that encourage crime. The Rise of Big Data Policing is a must read for anyone concerned with how technology will revolutionize law enforcement and its potential threat to the security, privacy, and constitutional rights of citizens. Read an excerpt and interview with Andrew Guthrie Ferguson in The Economist.

Following money over national borders, banking systems, casinos, and free trade zones, as well as the world of the corrupt elites, Big Crime and Big Policing brings new scholarly and practical insights into our understanding of the interplay of money, crime, and policing on the grand scale. In this wide-ranging volume, a mixed group of scholars and practitioners aim to show how money dictates the scope and nature of financial and corporate crimes, and the impact of these crimes on national economies, social institutions, and communal well-being alike. The book examines how the combined efforts of governments and international organizations fail to stop financial crime at its source and, despite apparently generous human and financial resources, police and law enforcement efforts ultimately fall short of defeating big crime and of meeting public safety needs. International in scope, Big Crime and Big Policing provides fresh reflection on a significant problem of our age, one that demands greater attention from governments and the public.

The massive uprising following the police killing of George Floyd in the summer of 2020--by some estimates the largest protests in US history--thrust the argument to defund the police to the forefront of international politics. It also made The End of Policing a bestseller and Alex Vitale, its author, a leading figure in the urgent public discussion over police and racial justice. As the writer Rachel Kushner put it in an article called "Things I Can't Live Without", this book explains that "unfortunately, no increased diversity on police forces, nor body cameras, nor better training, has made any seeming difference" in reducing police killings and abuse. "We need to restructure our society and put resources into communities themselves, an argument Alex Vitale makes very persuasively." The problem, Vitale demonstrates, is policing itself-the dramatic expansion of the police role over the last forty years. Drawing on first-hand research from across the globe, The End of Policing describes how the implementation of alternatives to policing, like drug legalization, regulation, and harm reduction instead of the policing of drugs, has led to reductions in crime, spending, and injustice. This edition includes a new introduction that takes stock of the renewed movement to challenge police impunity and shows how we move forward, evaluating protest, policy, and the political situation.

Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.

From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.