終了したセッション
6-4
Session No. | 6-4 |
---|---|
Title | 協調的社会問題解決のためのオープンデータ利活用基盤の挑戦 |
Session organizer | 加藤 誠 |
Date & Time | 2020年9月28日(月) 21:00 - 24:00 |
Location | オンラインで実施 |
Live stream | Zoom |
世界規模の社会問題に対して各国の研究者が協調して取り組めるように,また,行政の透明性の担保や公益のために,様々なデータをオープンにすることが推進されてきている.しかしながら,多くのデータが公開されている一方で,必要なデータをうまく検索で見つけられない,適切なフォーマットで公開されていないなど,その利用については様々な課題が残されている.本セッションでは,オープンデータの利活用に焦点を当て,アメリカ,イギリス,オーストラリア,日本の4ヶ国の研究者と共に各国の現状や最新の研究事例などについて議論する.
公式Webサイト: https://tgsw2020.datasearch.jp/ |
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.