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Smart City Citizenship - 1st Edition - ISBN: 9780128153000

Smart City Citizenship

1st Edition

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Author: Igor Calzada
Paperback ISBN: 9780128153000
Imprint: Elsevier
Published Date: 1st November 2020
Page Count: 256
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Description

Smart City Citizenship provides rigorous analysis for academics and policymakers on the experimental, data-driven, and participatory processes of smart cities to help integrate ICT-related social innovation into urban life. Unlike other smart city books that are often edited collections, this book focuses on the business domain, grassroots social innovation, and AI-driven algorithmic and techno-political disruptions, also examining the role of citizens and the democratic governance issues raised from an interdisciplinary perspective. As smart city research is a fast-growing topic of scientific inquiry and evolving rapidly, this book is an ideal reference for a much-needed discussion. The book drives the reader to a better conceptual and applied comprehension of smart city citizenship for democratised hyper-connected-virialised post-COVID-19 societies. In addition, it provides a whole practical roadmap to build smart city citizenship inclusive and multistakeholder interventions through intertwined chapters of the book.

Users will find a book that fills the knowledge gap between the purely critical studies on smart cities and those further constructive and highly promising socially innovative interventions using case study fieldwork action research empirical evidence drawn from several cities that are advancing and innovating smart city practices from the citizenship perspective.

Key Features

  • Utilises ongoing, action research fieldwork, comparative case studies for examining current governance issues, and the role of citizens in smart cities.
  • Provides definitions of new key citizenship concepts, along with a techno-political framework and toolkit drawn from a community-oriented perspective.
  • Shows how to design smart city governance initiatives, projects and policies based on applied research from the social innovation perspective.
  • Highlights citizen’s perspective and social empowerment in the AI-driven and algorithmic disruptive post-COVID-19 context in both transitional and experimental frameworks

Readership

Smart cities, data science, AI, digital transformation, and applied social science lecturers, researchers, scientists, and graduate students; academics and policy makers working in several data and digital domains such as data analytics, AI, data governance, data labs, and office of data analytics (ODA); engineers, practitioners, and government officials working on smart city projects related to sustainability, transport, energy, environmental science, engineering, economics, public policy, behavioural science, ICT, and urban planning departments; smart city planners and engineers involved in research, consultancy, project management, funding, and distribution of services, products, technologies; city policy makers in government, EU projects, and development agencies; social entrepreneurs, activists, and social innovators.

Table of Contents

Prologue. DECONSTRUCTING Smart City Citizenship: Data Ecosystems and Democracy

Chapter 1. UNPLUGGING Smart City Citizenship: Beyond the Hyperconnected Societies

Chapter 2. DECIPHERING Smart City Citizenship: Techno-politics of Data and Urban Co-operative Platforms

Chapter 3. DEMOCRATISING Smart City Citizenship: Penta Helix Multistakeholder Policy Framework from the Social Innovation Perspective

Chapter 4. REPLICATING Smart City Citizenship: City-to-City-Learning Programme

Chapter 5. DEVOLVING Smart City Citizenship: Smart City-Regions, Data Devolution, and Technological Sovereignty

Chapter 6. COMMONING Smart City Citizenship: Data Commons through (Smart) Citizens

Chapter 7. PROTECTING Smart City Citizenship: Citizens' Digital Rights and AI-Driven Algorithmic Disruption

Epilogue. RESETTING Smart City Citizenship: Amidst the Post-COVID-19 Hyperconnected-Virialised Societies

Details

No. of pages:
256
Language:
English
Copyright:
© Elsevier 2021
Published:
1st November 2020
Imprint:
Elsevier
Paperback ISBN:
9780128153000

About the Author

Igor Calzada

Igor Calzada is a senior scientist at the European Commission, DG Joint Research Centre (JRC), at the Digital Economy Unit and the Centre for Advanced Studies working at AI Watch and DigiTranScope. In addition, since 2012, he is senior researcher at the University of Oxford, Future of Cities and Urban Transformations ESRC programmes at COMPAS. His main research interest draws on how digital transformation processes driven by AI disruption in the post-GDPR current context are altering techno-political and democratic conditions of data governance for the emergence of new algorithmic citizenship regimes in European (smart) cities and regions by paying special attention to the interplay of multistakeholders and the creation of data co-operatives and platform co-operatives schemes from the social innovation perspective. He is the Principal Investigator of H2020-SCC-Replicate Replication WP (www.replicate-project.eu/city2citylearning), European strategy for Urban Transformations ESRC programme, Smart City-Regions project (Marie Curie), and City-Regions Research Programme (www.cityregions.org; funded by Ikerbasque and RSA). He is fellow at the Regional Studies Association (FeRSA). Over the last 20 years, he served as a lecturer at the University of Strathclyde (UK), Vrije Universiteit Brussel (Belgium), Aston University (UK), University of Malmö (Sweden), University of Iceland, University of Nevada (USA), University of Helsinki (Finland), and University of Mondragon (Spain). He regularly gives keynotes at conferences in China, Brazil, United States, Latin America, and Europe on smart cities research and policy. He serves as editor of several journals and is the author of almost 100 academic publications. He has an MBA and PhD in Business Administration. More info: www.igorcalzada.com/publications

Affiliations and Expertise

Senior Scientist at the European Commission DG JRC and at the University of Oxford.

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