With the rise of surveillance technology in the last decade, police departments now have an array of sophisticated tools for tracking, monitoring, even predicting crime patterns. In particular crime mapping, a technique used by the police to monitor crime by the neighborhoods in their geographic regions, has become a regular and relied-upon feature of policing. Many claim that these technological developments played a role in the crime drop of the 1990s, and yet no study of these techniques and their relationship to everyday police work has been made available. Noted scholar Peter K. Manning spent six years observing three American police departments and two British constabularies in order to determine what effects these kinds of analytic tools have had on modern police management and practices. While modern technology allows the police to combat crime in sophisticated, detail-oriented ways, Manning discovers that police strategies and tactics have not been altogether transformed as perhaps would be expected. In The Technology of Policing, Manning untangles the varying kinds of complex crime-control rhetoric that underlie much of today’s police department discussion and management, and provides valuable insight into which are the most effective—and which may be harmful—in successfully tracking criminal behavior. The Technology of Policing offers a new understanding of the changing world of police departments and information technology’s significant and undeniable influence on crime management.

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.

Part 1 - Introduction to theory and basics : Ch. 1 Introduction to police technology -- Ch. 2 Computer Basics -- Ch. 3 Wireless Communications -- Ch. 4 Networks -- Ch. 5 Geographic Information System [GIS] -- Ch. 6 A brief history of Police Technology -- Part 2 - Strategic Information Systems and Technologies: Ch. 7 Communications Dispatch Centers -- Ch. 8 Agency Systems -- Ch. 9 External Systems -- Ch. 10 The Internet and Law Enforcement -- Ch. 11 Information Exchange -- Ch. 12 Crime analysis -- Part 3 - Tactical Information Systems : Ch. 13 Technology in Investigations -- Ch. 14 Wiretaps -- Ch. 15 Tracking and surveillance -- Ch.16 Hi-Tech Crime -- Ch. 17 Major Incident and Response -- Ch. 18 Technology in the Street -- Part 4 - Technology in Police management : Ch. 19 Personnel and Training -- Ch. 20 Implementing and Managing Technology -- Ch. 21 Emerging and Future Technologies.

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

ARE YOU PREPARED FOR THE LAW ENFORCEMENT IT REVOLUTION? Law enforcement agencies that are laggards in Information Technology (IT) will soon, if not already, be considered mismanaged. Whether you are in an operational position, or you are a police officer who aspires to a higher rank, you must be aware of how IT can help you perform your job and hel

A wide-ranging investigation of how supposedly transformative technologies adopted by law enforcement have actually made policing worse—lazier, more reckless, and more discriminatory American law enforcement is a system in crisis. After explosive protests responding to police brutality and discrimination in Baltimore, Ferguson, and a long list of other cities, the vexing question of how to reform the police and curb misconduct stokes tempers and fears on both the right and left. In the midst of this fierce debate, however, most of us have taken for granted that innovative new technologies can only help. During the early 90s, in the wake of the infamous Rodney King beating, police leaders began looking to corporations and new technologies for help. In the decades since, these technologies have—in theory—given police powerful, previously unthinkable faculties: the ability to incapacitate a suspect without firing a bullet (Tasers); the capacity to more efficiently assign officers to high-crime areas using computers (Compstat); and, with body cameras, a means of defending against accusations of misconduct. But in this vivid, deeply-reported book, Matt Stroud shows that these tools are overhyped and, in many cases, ineffective. Instead of wrestling with tough fundamental questions about their work, police leaders have looked to technology as a silver bullet and stood by as corporate interests have insinuated themselves ever deeper into the public institution of law enforcement. With a sweeping history of these changes, Thin Blue Lie is a must-read for anyone seeking to understand how policing became what it is today.

With the rise of surveillance technology in the last decade, police departments now have an array of sophisticated tools for tracking, monitoring, even predicting crime patterns. In particular crime mapping, a technique used by the police to monitor crime by the neighborhoods in their geographic regions, has become a regular and relied-upon feature of policing. Many claim that these technological developments played a role in the crime drop of the 1990s, and yet no study of these techniques and their relationship to everyday police work has been made available. Noted scholar Peter K. Manning spent six years observing three American police departments and two British constabularies in order to determine what effects these kinds of analytic tools have had on modern police management and practices. While modern technology allows the police to combat crime in sophisticated, detail-oriented ways, Manning discovers that police strategies and tactics have not been altogether transformed as perhaps would be expected. In The Technology of Policing, Manning untangles the varying kinds of complex crime-control rhetoric that underlie much of today’s police department discussion and management, and provides valuable insight into which are the most effective—and which may be harmful—in successfully tracking criminal behavior. The Technology of Policing offers a new understanding of the changing world of police departments and information technology’s significant and undeniable influence on crime management.

This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.

The growth of technology allows us to imagine entirely new ways of committing, combating and thinking about criminality, criminals, police, courts, victims and citizens. Technology offers not only new tools for committing and fighting crime, but new ways to look for, unveil, label crimes and new ways to know, watch, prosecute and punish criminals. This book builds on the work of Leman-Langlois' last book Technocrime, and brings together fresh perspectives from eminent scholars to consider how our relationship with technology and

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.