Big Data Challenges: Society, Security, Innovation and Ethics

· · ·
· Springer
Ebook
140
Pages
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About this ebook

This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

About the author

Anno Bunnik is a researcher at Liverpool Hope University, UK. His research interests include intelligence, law enforcement, national security and counter-terrorism.

Anthony Cawley is Lecturer in Media at Liverpool Hope University, UK. His research interests include media industry innovation, news framing of current affairs, online journalism, media history, and Big Data and media.

Michael Mulqueen is a serving senior police officer involved in initiatives to exploit the opportunities of digital intelligence and investigation through ethical innovation. He previously was Professor of Media and Security Innovation at Liverpool Hope University, UK.

Andrej Zwitter holds the NGIZ Chair in International Relations at the Faculty of Law, the University of Groningen, the Netherlands. His research foci include ethics in international politics and law, Big Data ethics, state of emergency politics, as well as law and politics of humanitarian action.

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