Closed Sessions
6-4
Challenges in Open Data Infrastructures for Collaborative Solutions of Social Problems
| Session No. | 6-4 |
|---|---|
| Title | Challenges in Open Data Infrastructures for Collaborative Solutions of Social Problems |
| Session organizer | Makoto P. Kato |
| Date & Time | September 28 (Mon), 2020 21:00 - 24:00 (GMT+09:00) |
| Location | Online |
| Live stream | Zoom |
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It has been strongly encouraged to share various kinds of data for helping researchers all over the world work together and solve global-scale social problems, achieving high transparency of governments, and contributing to the public good. Although a lot of data have become publicly available, there remain several challenges on “how to effectively use the open data”, e.g. difficulty of finding necessary open data and inappropriate data format. This session focuses on the use of the open data, and invites researchers from four countries, United States, United Kingdom, Australia, and Japan, for discussing the practices and researches in each country.
Official Website: https://tgsw2020.datasearch.jp/ |
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Ying-Hsang Liu
Ying-Hsang Liu is an associate professor at the Department of Design and Communication, University of Southern Denmark. He holds a Ph.D. in information science from the School of Communication and Information at Rutgers University. His research program lies at the intersections of information retrieval, knowledge organization, and human information behavior, with a particular interest in user concept formation within search contexts. He has published more than forty journal and conference papers and served on the editorial boards of Online Information Review, and Information Processing & Management. His most recent research project concerns the design and user evaluation of conversational agents for pilots.
Hsin-Liang Chen
Dr. Hsin-liang (Oliver) Chen joined the Missouri University of Science and Technology in July 2019. Prior to arriving at Missouri S&T, he was Associate Dean at the University of Massachusetts Boston Library. He also taught at the University of Wisconsin-Milwaukee, the University of Texas at Austin, the University of Missouri, Indiana University Purdue University Indianapolis and Long Island University. Dr. Chen’s research interests focus on the application of information and communication technologies (ICTs) to assist users in accessing and using information in different environments. Dr. Chen received his Ph.D. in Library and Information Science from the University of Pittsburgh in 1999, MA in Educational Communication and Technology from New York University in 1995, and BA in Library Science from Fu-Jen Catholic University in Taiwan in 1985.
Hideaki Takeda
(TBA)
Laura Koesten
Laura Koesten is a senior research fellow at King’s College London in the Department of Informatics in the Distributed Artificial Intelligence Group. She researches Human Data Interaction, aiming to understand data-centric work practices, data reuse, sensemaking and collaboration with data amongst different user groups. She has a background in Human Factors and a PhD in Computer Science from the University of Southampton and the Open Data Institute in London, UK, as a Maria Curie Skłodowska fellow. Her thesis is titled “A User Centred Perspective on Structured Data Discovery” and she co-chaired the past two DATA:SEARCH workshops at the Web Conference 2018 and SIGIR 2018. She is part of the EPSRC project DataStories, aiming to understand what makes data more findable, reusable and engaging; as well as the H2020 project TheyBuyForYou focusing on the accessibility and availability of procurement data.