ABSTRACT

This book provides a nuanced exploration of contemporary digital data governance, highlighting the importance of cooperation across sectors and disciplines in order to adapt to a rapidly evolving technological landscape. Most of the theory around global digital data governance remains scattered and focused on specific actors, norms, processes, or disciplinary approaches. This book argues for a polycentric approach, allowing readers to consider the issue across multiple disciplines and scales.

Polycentrism, this book argues, provides a set of lenses that tie together the variety of actors, issues, and processes intertwined in digital data governance at subnational, national, regional, and global levels. Firstly, this approach uncovers the complex array of power centers and connections in digital data governance. Secondly, polycentric perspectives bridge disciplinary divides, challenging assumptions and drawing together a growing range of insights about the complexities of digital data governance. Bringing together a wide range of case studies, this book draws out key insights and policy recommendations for how digital data governance occurs and how it might occur differently.

Written by an international and interdisciplinary team, this book will be of interest to students and scholars in the field of development studies, political science, international relations, global studies, science and technology studies, sociology, and media and communication studies.

The Open Access version of this book, available at https://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

chapter 1|17 pages

Introduction

Polycentric Perspectives on Digital Data Governance
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part I|83 pages

Perspectives

chapter 4|17 pages

The Challenges of Governance in a Datascape

Theorizing the Role of Non-extractive Methodologies in the 2030 Agenda
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chapter 5|20 pages

Grassroots Data Activism and Polycentric Governance

Perspectives from the Margins
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chapter 6|14 pages

Questions as a Device for Data Responsibility

Making Data Science Responsible by Formulating Questions in a Polycentric Way
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part II|81 pages

Controversies

chapter 7|20 pages

Decentralized but Coordinated

Probing Polycentricity in EU Data Protection Cross-border Enforcement
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chapter 8|23 pages

Trade Agreements and Cross-border Disinformation

Patchwork or Polycentric?
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chapter 9|17 pages

Trackers and Chasers

Governance Challenges in Disinformation Datafication
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part III|59 pages

Technologies

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chapter 12|18 pages

The Distributions of Distributed Governance

Power, Instability and Complexity in Polycentric Data Ordering
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chapter 14|6 pages

Conclusion

The End of a Beginning
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