Policing and Intelligence in the Global Big Data Era, Volume I

Policing and Intelligence in the Global Big Data Era, Volume I , the first of a two volume set, presents a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Centered around the notion of 'algorithmic governance', this volume explores various practices of abstract and intelligence-led policing within the context of surveillance and regulatory capitalism. Each chapter interrogates these concepts as much as realities on the ground as they play out across the globe from Russia, USA, India, Brazil to Denmark, Germany and Norway. The volume offers a unique insight into the ways in which technologies and data-driven practices from facial recognition, predictive algorithms, to generative AI are reshaping cultures of policing both within and beyond police proper. Particular attention is paid to the simultaneous privatization and pluralization policing and intelligence and to the proliferation of new intelligence actors. Academics, students and readers interested in the fields of criminology, social anthropology, critical algorithm.

Contributes to the ongoing debates on predictive and intelligence-led policing Explores policing and surveillance in a global context Combines theoretical and empirical contributions

Autorentext

Tereza Østbø Kuldova is a social anthropologist and Research Professor at Oslo Metropolitan University, Norway. She is the author of, among others, Luxury and Corruption: Challenging the Anti-Corruption Consensus (co-authored with Jardar Østbø and Thomas Raymen, Bristol University Press, 2024), Compliance-Industrial Complex: The Operating System of a Pre-Crime Society (Palgrave, 2022), How Outlaws Win Friends and Influence People (Palgrave, 2019).

Helene O. I. Gundhus is Professor of Criminology at the University of Oslo, Norway, and Professor II at the Norwegian Police University College. She has published on issues to do with police methods and technology, police professionalism, crime prevention, risk assessments, migration control and transnational policing.

Christin Thea Wathne is Research Director and Research Professor at Oslo Metropolitan University, Norway. Her research interests include leadership and management, New Public Management, organizational development, organizational learning, professions, social identity and working environment and mastering.

Klappentext

Policing and Intelligence in the Global Big Data Era, Volume I, the first of a two volume set, presents a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Centered around the notion of algorithmic governance , this volume explores various practices of abstract and intelligence-led policing within the context of surveillance and regulatory capitalism. Each chapter interrogates these concepts as much as realities on the ground as they play out across the globe from Russia, USA, India, Brazil to Denmark, Germany and Norway. The volume offers a unique insight into the ways in which technologies and data-driven practices from facial recognition, predictive algorithms, to generative AI are reshaping cultures of policing both within and beyond police proper. Particular attention is paid to the simultaneous privatization and pluralization policing and intelligence and to the proliferation of new intelligence actors. Academics, students and readers interested in the fields of criminology, social anthropology, critical algorithm.

Inhalt

Chapter 1. Introduction to Volume I: Algorithmic Governance and Policing and Intelligence in the Global Big Data Era ( Tereza Østbø Kuldova, Helene Oppen Ingebrigtsen Gundhus & Christin Thea Wathne ).- Chapter 2. National Security, Insider Threat Programs, and the Compliance-Industrial Complex: Reflections on the Platformization in Corporate Policing, Intelligence, and Security ( Tereza Østbø Kuldova ).- Chapter 3. Russian Intelligence-Driven Technopoly: Efficiency, Positivism and Governance by Data in an Authoritarian State ( Jardar Østbø ).- Chapter 4. Smart Security? Transnational Policing Models and Surveillance Technologies in the City of São Paulo ( Alcides Eduardo dos Reis Peron & Marcos César Alvarez ).- Chapter 5. Militarized Managerialism and the Bolsonarist Dystopia in Brazil ( Bruno Cardoso ).- Chapter 6. 'For Your Own Safety': The Soft Push of Surveillance by the Private Sector in India ( Shivangi Narayan ).- Chapter 7. E-Governance and Smart Policing in Kerala, India: Towards a Kerala Model of Algorithmic Governance? ( Ashwin Varghese ).- Chapter 8. Musical Policing in Today's Brazil: A Study of Jingles in the Bolsonaro Movement ( Kjetil Klette Bøhler ).- Chapter 9. A Historical Perspective on Civil Society Activism and the Campaign to Ban Digital Facial Recognition Technologies in Public Security in Brazil ( Paulo Cruz Terra ).- Chapter 10. Algorithmic Police Reform: the Political Economy and Social Lives of a Police Early Intervention Algorithm ( Matthew Nesvet ).- Chapter 11. The Platformization of Policing: A Cross-National Analysis ( Simon Egbert, Vasilis Galis, Helene Oppen Ingebrigtsen Gundhus, Christin Thea Wathne ).