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There has been much research published in criminology journals on big data and crime control, but this is one of the first books on the topic.
This book showcases international research from Europe and the US and intersects with cutting edge themes in criminology including crime control, security and civil liberties.
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.
Table of Contents
Foreword (Katja Franko)
Part I: Introduction
1. Big Data: What Is It and Why Does it Matter for Crime and Social Control? (Ales Zavrsnik)
Part II: Automated Social Control
2. Paradoxes of Privacy in an Era of Asymmetrical Social Control (Frank Pasquale)
3. Big Data - Big Ignorance (Renata Salecl)
4. Machines, Humans, and the Question of Control (Zoran Kanduc)
Part III: Automated Policing
5. Data Collection Without Limits: Automated Policing and the Politics of Framelessness (Mark Andrejevic)
6. Algorithmic Patrol: The Futures of Predictive Policing (Dean Wilson)
Part IV: Automated Justice
7. Algorithmic Crime Control (Ales Zavrsnik)
8. Subjectivity, Algorithms, and the Courtroom (Katja èugman Stubbs and Mojca M. Plesnicar)
Part V: Big Data Automation Limitations
9. Judicial Oversight of the (Mass) Collection and Processing of Personal Data (Primoz Gorkic)
10. Big Data and Economic Cyber Espionage: An International Law Perspective (Marusa T. Veber and Masa Kovic Dine)