 | Big Data, Crime and Social Control Subjects: Computer Science; Law; Social Sciences; Databases; Legal Ethical & Social Aspects of IT; Criminology - Law; Criminology and Criminal Justice; IT & the Law; Social Aspects of Computing & IT; Social Impact of Computing & IT on Society; Privacy & Data Protection; Crime Control - Criminology; Crime Control; Criminal Justice; 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. Ales Zavrsnik is a Senior Research Fellow at the Institute of Criminology at the Faculty of Law and Associate Professor at the Faculty of Law, University of Ljubljana, Slovenia |
