[SEMINAR REPORT] In this seminar, we explored various approaches to implementing data governance and their impacts on creating innovation in smart cities. In particular, our discussion touched upon what kinds of data are available and accessible, how these data are managed through collaboration between government and stakeholders, and how the mode of data collaboration influences their innovative efforts in smart cities. Cases in countries such as Canada, Japan, and China were referred to in stimulating our discussion. Policy implications were explored for establishing data governance that will facilitate innovation to address sustainability issues while addressing concerns about data security and privacy.
[GENERAL INFORMATION]
Date & Time:
Thursday 30 June 2022, 10:30-12:00 JST(日本時間)
Venue: Hybrid Mode
(12th Floor, Seminar Room E, International Academic Research Bldg., GraSPP, The University of Tokyo and Online by Zoom)
*The Zoom access information will be sent to the registrants before the event.
Language:
English (no Japanese interpretation available)
Registration:
Please apply from the REGISTRATION FORM (https://forms.gle/2u3fqja2yeHbeW7j8)
*If you cannot open the page, please email us at STIG@pp.u-tokyo.ac.jp, including your name and institution.
[OVERVIEW] Data is increasingly considered to be a key component in stimulating innovation to tackle sustainability challenges. Emerging data-intensive technologies, including the Internet of Things (IoT), artificial intelligence (AI), and blockchain, have opened promising opportunities for addressing climate change and the circular economy. Little empirical research, however, has been done to analyze how the availability of and accessibility of data influence innovative activities of key stakeholders in smart cities. In this seminar, we discuss various approaches to implementing data governance and their impacts on creating innovation in smart cities. In particular, we examine what kinds of data are available and accessible, how these data are managed through collaboration between government and stakeholders, and how the mode of data collaboration influences their innovative efforts in smart cities. Cases in different counties, including Japan and China, are discussed in detail. Policy implications are explored for establishing data governance that will facilitate innovation to address sustainability issues while addressing concerns about data security and privacy.
◆Speaker: YARIME Masaru（香港科技大学 公共政策部門 鎗目 雅 先生）, Associate Professor, Division of Public Policy and Division of Environment and Sustainability, The Hong Kong University of Science and Technology; Visiting Associate Professor, Graduate School of Public Policy, The University of Tokyo.
http://yarime.net/
https://ppol.hkust.edu.hk/people/detail/prof-masaru-yarime
◆Speaker’s Bio:
Masaru YARIME is an Associate Professor in the Division of Public Policy and the Division of Environment and Sustainability at the Hong Kong University of Science and Technology. He is currently the Director of the MPhil and Ph.D. Programs in Public Policy at HKUST. He also has an appointment as Visiting Associate Professor in the Graduate School of Public Policy at the University of Tokyo. His research interest centers around science, technology, and innovation policy for energy, environment, and sustainability, particularly exploring data-driven innovation, including artificial intelligence, the internet of things, and smart cities, to address sustainability challenges and implications for public policy and institutional design. He obtained his BEng in Chemical Engineering from the University of Tokyo, M.S. in Chemical Engineering from the California Institute of Technology, and Ph.D. in Economics and Policy Studies of Innovation and Technological Change from Maastricht University in the Netherlands.
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お問い合わせ：
東京大学 科学技術イノベーション政策における「政策のための科学」教育・研究ユニット
STIG事務局(STIG@pp.u-tokyo.ac.jp)
06.22.2022