Anticipating Criminal Behaviour


Book Description

In the first decade of this century, the focus of law-enforcement agencies has shifted from prosecuting crime to anticipating crime. This approach emphasizes the discovery of narratives in crime-related data. However, while narratives are at the mainstay of entertainment, law, and politics, a scientific method by which narratives can be created - and subsequently be used to anticipate criminal behavior - still has to be established. In the creative industry, a narrative is generated by a scenario. A scenario describes the interactions between the characters and includes information - about behavior, goals, motivations, modi operandi, and resistances - that have to be overcome. Furthermore, a creative scenario is composed by a limited number of scenario components. In this book, a new and innovative scenario model is designed by which narratives in data can be detected. It introduces the ESC12 - the twelve Elementary Scenario Components - by which every conceivable narrative can be created. Moreover, the book introduces the ESC12 scenario model, a model that may support law enforcement agencies to effectively anticipate criminal behavior. The book's author, Peter A.M.G. de Kock, graduated as a filmmaker from the Film Academy of the Amsterdam School of the Arts in 1994, and has traveled all over the world as a professional photographer, cameraman, and film-director. In 2009, after receiving a Master degree in Criminal Investigation, he introduced creative scenarios to anticipate (terrorist) attacks. The operational results of his team were thought provoking, and he was invited to demonstrate his method of operation to prominent members of Dutch Parliament and the Ministry of Security and Justice. He was then offered the opportunity to pursue the use of scenarios to anticipate crime, as an external Ph.D. student at Tilburg University. This book is the result of his study. [Subject: Criminology, Policing]




The Prediction of Criminal Behaviour


Book Description

This is an introduction to the techniques of predicting criminal behaviour, and the ethical and practical issues surrounding them. It discusses the use of prediction in bail, sentencing, and parole decisions, as well as in the allocation of treatments to offenders and presents a typology of predictive approaches. This typology serves as the framework for a discussion of the various predictive factors, including sex, race and ethnicity, age, personality and intelligence, socio-economic status, criminal history, institutional adjustment, drug and alcohol use, etc. Issues of variable measurement and sampling are reviewed, as are some of the statistical methods used to predict criminality, including the Burgess Method, predictive attributive analysis, multiple regression, multidiscriminant analysis, and log-linear techniques. The book concludes with an evaluation of the potential value of statistical predictions.







Predicting Malicious Behavior


Book Description

A groundbreaking exploration of how to identify and fight security threats at every level This revolutionary book combines real-world security scenarios with actual tools to predict and prevent incidents of terrorism, network hacking, individual criminal behavior, and more. Written by an expert with intelligence officer experience who invented the technology, it explores the keys to understanding the dark side of human nature, various types of security threats (current and potential), and how to construct a methodology to predict and combat malicious behavior. The companion CD demonstrates available detection and prediction systems and presents a walkthrough on how to conduct a predictive analysis that highlights proactive security measures. Guides you through the process of predicting malicious behavior, using real world examples and how malicious behavior may be prevented in the future Illustrates ways to understand malicious intent, dissect behavior, and apply the available tools and methods for enhancing security Covers the methodology for predicting malicious behavior, how to apply a predictive methodology, and tools for predicting the likelihood of domestic and global threats CD includes a series of walkthroughs demonstrating how to obtain a predictive analysis and how to use various available tools, including Automated Behavior Analysis Predicting Malicious Behavior fuses the behavioral and computer sciences to enlighten anyone concerned with security and to aid professionals in keeping our world safer.







Predicting Violent Behavior


Book Description

'...essential reading for those confronted with the ethical and professional dilemmas involved in predicting violent behavior. Lawyers are destined to become familiar with Monahan's book, and mental health professionals will surely want to keep a step ahead.' -- Contemporary Psychology, Vol 27 No 2 '...In summary, Monahan's book is a very readable and succinct one. Often the reader finds himself saying "...well of course, what could be more obvious?" only to reflect for a minute and realize that many clinicians do not give many obvious relevant factors adequate weight in their assessments of dangerousness. Monahan's text is a very positive one which as he puts it, outlines for the clinician: "How to do it (predict vi




Proactive Policing


Book Description

Proactive policing, as a strategic approach used by police agencies to prevent crime, is a relatively new phenomenon in the United States. It developed from a crisis in confidence in policing that began to emerge in the 1960s because of social unrest, rising crime rates, and growing skepticism regarding the effectiveness of standard approaches to policing. In response, beginning in the 1980s and 1990s, innovative police practices and policies that took a more proactive approach began to develop. This report uses the term "proactive policing" to refer to all policing strategies that have as one of their goals the prevention or reduction of crime and disorder and that are not reactive in terms of focusing primarily on uncovering ongoing crime or on investigating or responding to crimes once they have occurred. Proactive policing is distinguished from the everyday decisions of police officers to be proactive in specific situations and instead refers to a strategic decision by police agencies to use proactive police responses in a programmatic way to reduce crime. Today, proactive policing strategies are used widely in the United States. They are not isolated programs used by a select group of agencies but rather a set of ideas that have spread across the landscape of policing. Proactive Policing reviews the evidence and discusses the data and methodological gaps on: (1) the effects of different forms of proactive policing on crime; (2) whether they are applied in a discriminatory manner; (3) whether they are being used in a legal fashion; and (4) community reaction. This report offers a comprehensive evaluation of proactive policing that includes not only its crime prevention impacts but also its broader implications for justice and U.S. communities.




Crime and Punishment in the Future Internet


Book Description

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.




Criminal Futures


Book Description

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.