Data Enclaves

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K7EF45178QC
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Geliefert zwischen Mi., 15.04.2026 und Do., 16.04.2026

Details

This book focuses on our increasing dependence upon Big Tech to live, manage, and enjoy our lives. The author examines how we freely exchange our personal data for access to online platforms, services, and devices without proper consideration of the implications of this trade. Our personal data is the defining resource of the emerging digital economy, and it is increasingly concentrated in a few data enclaves controlled by Big Tech firms, cementing an increasingly parasitic form of technoscientific innovation. Big Tech controls access to these data, dictates the terms of our use of their services and products, and controls the future development of key technologies like artificial intelligence. The contention of this book is that we need to rethink our political and policy approach to data governance and to do so requires unpacking the peculiarities of personal data and how personal data are transformed into a valuable asset.

Brings together concerns with privacy/data protection and competition Introduces new analytical tools comprising the data assets, data rentiership, and specifically data enclaves Develops and outlines a policy agenda that offers an alternative way to frame personal data governance

Autorentext

Kean Birch is Director of the Institute for Technoscience & Society and Professor in the Science & Technology Studies Graduate Program at York University, Canada. He has been a Visiting Scholar at Copenhagen Business School and the Munich Center for Technology & Society, Technical University Munich. He is especially interested in understanding how different things are transformed into assets and what this means for our increasingly technoscientific economies and societies.


Inhalt

1 Introduction.- 2 What is Big Tech?.- 3 The Rise of Data Rentiership.- 4 Emerging Data Enclaves.- 5 Monopoly, Competition, and Emergent Data.- 6 A New Policy Agenda for Data Governance.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031464010
    • Sprache Englisch
    • Genre Social Sciences
    • Lesemotiv Verstehen
    • Anzahl Seiten 139
    • Größe H12mm x B148mm x T210mm
    • Jahr 2023
    • EAN 9783031464010
    • Format Fester Einband
    • ISBN 978-3-031-46401-0
    • Titel Data Enclaves
    • Autor Kean Birch
    • Herausgeber Springer

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