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.

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.

A comprehensive collection on police and policing, written by experts in political theory, sociology, criminology, economics, law, public health, and critical theory.

Predict and Surveil offers an unprecedented, inside look at how police use big data and new surveillance technologies. Sarah Brayne conducted years of fieldwork with the LAPD--one of the largest and most technically advanced law enforcement agencies in the world-to reveal the unmet promises and very real perils of police use of data--driven surveillance and analytics.

Crime and Punishment in the Future Internet is an examination of the development and impact of digital frontier technologies (DFTs) such as Artificial Intelligence, the Internet of things, autonomous mobile robots, and blockchain on offending, crime control, the criminal justice system, and the discipline of criminology. It poses criminological, legal, ethical, and policy questions linked to such development and anticipates the impact of DFTs on crime and offending. It forestalls their wide-ranging consequences, including the proliferation of new types of vulnerability, policing and other mechanisms of social control, and the threat of pervasive and intrusive surveillance. Two key concerns lie at the heart of this volume. First, the book investigates the origins and development of emerging DFTs and their interactions with criminal behaviour, crime prevention, victimisation, and crime control. It also investigates the future advances and likely impact of such processes on a range of social actors: citizens, non-citizens, offenders, victims of crime, judiciary and law enforcement, media, NGOs. This book does not adopt technological determinism that suggests technology alone drives social development. Yet, while it is impossible to know where the emerging technologies are taking us, there is no doubt that DFTs will shape the way we engage with and experience criminal behaviour in the twenty-first century. As such, this book starts the conversation about a range of essential topics that this expansion brings to social sciences, and begins to decipher challenges we will be facing in the future. An accessible and compelling read, this book will appeal to those engaged with criminology, sociology, politics, policymaking, and all those interested in the impact of DFTs on the criminal justice system.

This book covers organized crime groups, empirical studies of organized crime, criminal finances and money laundering, and crime prevention, gathering some of the most authoritative and well-known scholars in the field. The contributions to this book are new chapters written in honor of Professor Dick Hobbs, on the occasion of his retirement. They reflect his powerful influence on the study of organized crime, offering a novel perspective that located organized crime in its socio-economic context, studied through prolonged ethnographic engagement. Professor Hobbs has influenced a generation of criminology researchers engaged in studying organized crime groups, and this work provides a both a look back and this influence and directions for future research. It will be of interest to researchers in criminology and criminal justice, particularly with a focus on organized crime and financial crime, as well as those interested in corruption, crime prevention, and applications of ethnographic methods.

This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Switzerland, this book provides a theoretically sophisticated and empirically detailed account of how the police produce and act upon criminal futures as part of their everyday work practices. The authors argue that predictive policing must not be analyzed as an isolated technological artifact, but as part of a larger sociotechnical system that is embedded in organizational structures and occupational cultures. The book highlights how, for crime prediction software to come to matter and play a role in more efficient and targeted police work, several translation processes are needed to align human and nonhuman actors across different divisions of police work. Police work is a key function for the production and maintenance of public order, but it can also discriminate, exclude, and violate civil liberties and human rights. When criminal futures come into being in the form of algorithmically produced risk estimates, this can have wide-ranging consequences. Building on empirical findings, the book presents a number of practical recommendations for the prudent use of algorithmic analysis tools in police work that will speak to the protection of civil liberties and human rights as much as they will speak to the professional needs of police organizations. An accessible and compelling read, this book will appeal to students and scholars of criminology, sociology, and cultural studies as well as to police practitioners and civil liberties advocates, in addition to all those who are interested in how to implement reasonable forms of data-driven policing.