Data Governance for Smart Cities in China: Opportunities and Challenges
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We have conducted an exploratory study of smart city development in China and examined critical opportunities and challenges in data governance. Open data platforms have been developed through close cooperation between government and technology enterprises. Regulations have been introduced to protect data security and privacy. The value of data, however, is not appropriately recognised or measured, discouraging the sharing of data. Stakeholders are not well-informed about what kinds of data are collected and how these data are used. It is crucial to encourage stakeholders' engagement in data governance to fully implement the people-centred approach to smart city development.
About the speaker
Masaru YARIME is an Associate Professor in the Division of Public Policy (PPOL) and the Division of Environment and Sustainability (ENVR) and the Director of the MPhil and PhD Programs in Public Policy at the Hong Kong University of Science and Technology (HKUST). He also has appointments as Visiting Associate Professor at the Graduate School of Public Policy (GraSPP) at the University of Tokyo and Honorary Associate Professor at the Department of Science, Technology, Engineering and Public Policy (STEaPP) at University College London.
His research interests centre around science, technology, and innovation policy for energy, environment, and sustainability. For the past years he has been engaged in research and educational activities from interdisciplinary perspectives, with an intention to understand the complex interface between engineering and social sciences and the dynamic interactions between technology and institutions in creating sustainability innovation. He is particularly interested in exploring the structure, functions, and evolution of innovation systems involving stakeholders in various sectors, with a focus on smart cities. More >>
About the moderator
Gleb Papyshev is a Research Assistant Professor in the Division of Social Science. His research interests include AI policy and regulation, AI ethics, and corporate governance mechanisms for emerging technologies. The results of his work have been published in Policy Design and Practice, AI & Society, Data & Policy, and Elgar Companion to Regulating AI and Big Data in Emergent Economies. More >>
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