Suchergebnisse

Traditionally, security has been the realm of the state and its uniformed police. However, in the last two decades, many actors and agencies, including schools, clubs, housing corporations, hospitals, shopkeepers, insurers, energy suppliers and even private citizens, have enforced some form of security, effectively changing its delivery, and overall role. In The Securitization of Society, Marc Schuilenburg establishes a new critical perspective for examining the dynamic nature of security and its governance. Rooted in the works of the French philosophers Michel Foucault, Gilles Deleuze.

"We live in an algorithmic society. Algorithms have become the main mediator through which power is enacted in our society. This book brings together three academic fields - Public Administration, Criminal Justice and Urban Governance - into a single conceptual framework, and offers a broad cultural-political analysis, addressing critical and ethical issues of algorithms. Governments are increasingly turning towards algorithms to predict criminality, deliver public services, allocate resources, and calculate recidivism rates. Mind-boggling amounts of data regarding our daily actions are analysed to make decisions that manage, control, and nudge our behaviour in everyday life. The contributions in this book offer a broad analysis of the mechanisms and social implications of algorithmic governance. Reporting from the cutting edge of scientific research, the result is illuminating and useful for understanding the relations between algorithms and power.Topics covered include: - Algorithmic governmentality - Transparency and accountability - Fairness in criminal justice and predictive policing - Principles of good digital administration - Artificial Intelligence (AI) in the smart city This book is essential reading for students and scholars of Sociology, Criminology, Public Administration, Political Sciences, and Cultural Theory interested in the integration of algorithms into the governance of society"--

Abstract
In recent years, the rise of big data has revolutionized many domains, including policing. Research is lacking, however, on the various ways in which the police use big data applications. This study provides new insights into the ways the Netherlands Police currently use big data and algorithmic applications. Based on a novel data source—job vacancies in the IT domain for the Netherlands Police—we distinguish three areas in which big data is used: frontline policing, criminal investigations, and intelligence. Our research shows that the use of big data by the Netherlands Police mainly involves relatively simple applications and that—in contrast to police forces in the USA—big data applications with the objective of assessing risks are the least common. The research also shows that big data policing leads to greater discretionary powers for police functions such as software developers and network designers.