しぶや・ゆや 澁谷遊野

博士(社会情報学)

東京大学大学院情報学環

准教授

Email: yuya-shibuya[at]iii.u-tokyo.ac.jp

お知らせ 研究 授業・教材 出版物 経歴/学歴 受賞/その他活動等

お知らせ

24年04月02日	東京大学大学院情報学環に着任しました
24年03月01日	国際誌ACM Interactionsにシビックテック研究に関する記事が掲載されました
24年02月23日	「パンデミックと社会科学」（勁草書房）が出版されます
24年02月01日	第2回渋滞予測コンテストのご案内
24年02月01日	社会情報学会シビックテック・デザイン研究部会 オンラインワークショップ開催のお知らせ
23年11月15日	共著論文が情報処理学会論文誌ジャーナルの特選論文に選定されました
23年11月14日	国際会議Y-SHIP2023 Asia Smart City Conferenceに登壇しました
23年10月12日	Weizenbaum Forumに関するご案内
23年10月10日	Research FellowとしてWeizenbaum Institut（ドイツ）に滞在します
23年10月07日	国際学会Netmob 2023で行われたデータ分析チャレンジで賞を受賞しました
23年10月07日	国連主催IGFでメールセキュリティに関する研究発表を行なっています
23年08月14日	国際誌にシビックテック関連研究の展望論文が掲載されました
23年07月28日	情報処理学会「山下記念研究賞」を受賞しました
23年05月01日	CHI'23でシビックテックに関するワークショップを開催しました
23年01月25日	渋滞予測コンテストのご案内
23年01月24日	デジタル空間社会に関するオンラインシンポジウムのご案内
22年12月16日	メールセキュリティに関するオンラインシンポジウムに登壇します
22年12月15日	【2023年3月1日参加締切】CHI'23でシビックテックに関するワークショップを開催します
22年11月15日	【2023年2月7日追記】 CSS優秀論文賞を受賞しました
22年10月30日	オープンデータによるマスク購買の行動変容に関する研究論文がScientific Reportsに掲載されました！
	さらに読む...

研究

上図のリサーチマップに記載のテーマを中心に、幅広く社会情報学、空間情報学、HCI（Human Computer Interaction）分野での実証的研究に取り組んでいます。詳しい研究の詳細は研究紹介ページ（英語のみ）や論文等をご覧ください。

経歴

2024年4月-	東京大学大学院情報学環	准教授（現職）
2022年1月-2024年3月	東京大学空間情報科学研究センター	准教授
2023年10月-2024年2月	Weizenbaum Institut, Berlin, Germany	Research Fellow
2019年4月-2021年12月	東京大学大学院情報学環	特任助教
2020年9月-2022年3月	武蔵大学	非常勤講師
2020年	Weizenbaum Institut, Berlin, Germany	Digital Research Fellow
2010-2014年	株式会社東日本放送

学歴

2019年3月	東京大学大学院学際情報学府博士課程	修了（学際情報学府博士課程総代）
2019年3月	博士課程教育リーディングプログラムGCL	修了
2016年3月	東京大学大学院学際情報学府修士課程	修了
2010年3月	慶應義塾大学文学部哲学専攻	卒業
2006年3月	宮城県第一女子高等学校	卒業

受賞

2023年	NetMob 2023 Best Challenge Contribution Runner-up
2023年	情報処理学会 山下記念研究賞
2022年	CSS2022優秀論文賞
2019年	社会情報学会 新進研究賞
2019年	社会情報学会 大学院学位論文賞（博士論文・論文賞）
2019年	日本経済政策学会学会賞（研究奨励賞）
2019年	Best Student Paper Nomination at ISCRAM 2019
2019年	NTT DATA Twitter Innovation Contest 2019 優秀賞
2017年	リバネス研究費プロト賞
2016年	Distinguished Paper Award at 2016 e-Case & e-Tech

委員など

2023年	総務省「デジタル空間における情報流通の健全性確保の在り方に関する検討会」構成員
2021年	内閣官房「V-RESAS等の次世代データ利活用支援ツールの検討に向けた基礎調査」研究会 委員
2020年	中曽根平和研究所「デジタル技術と経済・金融」 協力研究員
2019年	内閣官房「地方公共団体のデータ活用に関する調査研究会」委員

学会活動・その他

2022年-現在	社会情報学会 総務委員会委員
2021年-現在	社会情報学会 研究活動委員会 若手研究支援専門委員会委員
2019年-現在	グローバルクリエイティブリーダーズソサエティ（GCLs） 監事

講演・審査員など

2023年	内閣府 地方創生☆政策アイデアコンテスト 最終審査会審査員
2023年	第4回GCLS プレゼンコンペティション 審査員
2023年	Weizenbaumフォーラム "Can counterdata be civic? Exploring the limits of data, contestation and governance" パネルリスト
2023年	渋滞予測チャレンジコンテスト(共催：東日本高速道路株式会社・東京大学大学院情報学環) 審査員
2022年	第3回GCLS プレゼンコンペティション 審査員
2022年	招待講演 Infrastructures of Publics Workshops, Aarhus University, Centre for Digital Transformation in Cities and Communities (DITCOM), デンマーク. 講演タイトル: "Towards Digital Twins of Japanese Cities"
2022年	招待講演 BIFOLD Summer School, Ethics in Machine Learning & Data Management, ベルリン, ドイツ. 講演タイトル: "Whose Voices Have We Been Listening to? Opportunities and Challenges of AI for Disaster Management and Resilience"
2022年	招待講演 中曽根平和研究所「経済社会研究会」
2022年	第5回全国高校生イノベーション選手権 審査員
2021年	一般向け講演 品川区 しながわまなびの杜 明治学院パートナーシップ講座「地域コミュニティと防災」シリーズ
2021年	第2回GCLS プレゼンコンペティション 審査員
2020年	第1回GCLS プレゼンコンペティション 審査員

書籍

1. 

   Social Media Communication Data for Recovery

   Yuya Shibuya

   (2020)

   Abs LINK Amazon

   This book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which views people’s communication on social media as a sensor for real-time situations, has been widely adopted as the “people as sensor” approach. Furthermore, to improve recovery efforts after large-scale disasters, detecting communities’ real-time recovery situations is essential, since conventional socio-economic recovery indicators, such as governmental statistics, are not published in real time. Thanks to its timeliness, using social media data can fill the gap. Motivated by this possibility, this book especially focuses on the relationships between people’s communication on Twitter and Facebook pages, and socio-economic recovery activities as reflected in the used-car market data and the housing market data in the case of two major disasters: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 2012. The book pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics. In terms of its contributions, firstly, the book sheds light on the “people as sensors” approach for detecting socio-economic recovery activities, which has not been thoroughly studied to date but has the potential to improve situation awareness during the recovery phase. Secondly, the book proposes new socio-economic recovery indicators: used-car market data and housing market data. Thirdly, in the context of using social media during the recovery phase, the results demonstrate the importance of distinguishing between social media data posted both by people who are at or near disaster-stricken areas and by those who are farther away.

英文誌・国際学会

2024

1. Behavioral Change

   Social segregation levels vary depending on activity space types: Comparison of segregation in residential, workplace, routine and non-routine activities in Tokyo metropolitan area

   Chenchen Sun, Yuya Shibuya, and Yoshihide Sekimoto

   Cities (2024) 146, 104745

   Abs LINK

   Given the dynamic spatial characteristics of modern cities, the issue of social segregation based on activity spaces has been gaining increased attention. However, few studies have performed a detailed comparison of the differences in social segregation at different types of activities space on the citywide scale with a relatively small granularity from both place and individual perspectives. To gain a better understanding of the intricate and dynamic aspects of human mobility and its patterns of segregation, it is necessary to conduct comparative research utilizing several activity segregation indices by exploring different contexts behind people’s activities. Thus, in this study, we take the Tokyo metropolitan area as a case and classify the activity spaces into four categories: residential, working, routine activities, and non-routine activities, and then calculate the place income segregation and individual experienced income segregation under different activity contexts. Our findings show that the segregation levels vary depending on the activity contexts. For the place income segregation, the segregation level in residential and non-routine activity spaces tends to be lower than that in the working and routine activity spaces, respectively. In terms of spatial distribution, the values of segregation indicators in the suburbs deviate more from the regional mean. In addition, the main composition of the population in highly segregated areas is low- and middle-income class groups, and there are no super-rich activity areas that completely exclude other income groups in the Tokyo metropolitan area. For the individual experienced income segregation, the higher the household income, the lower the segregation level among all households except the poorest. Furthermore, the differences between individual income segregation indicators tend to be smaller near the central area and bigger in suburban areas. This work demonstrates the importance of comparing the differences in various activity segregation contexts in urban spaces instead of merely focusing on one specific perspective.

2. Enhancing geospatial retail analysis by integrating synthetic human mobility simulations

   Santiago Garcia-Gabilondo, Yuya Shibuya, and Yoshihide Sekimoto

   Computers, Environment and Urban Systems (2024) 108, 102058

   Abs LINK

   The accuracy of retail location models depends on their precise calibration, but the data necessary for such a key task is seldom available. In this research, we use synthetic human mobility data, which introduces commuting dynamics, to improve the reliability of such models. We use the origin-destination flows to distribute households’ potential expenditures in their home and commuting locations with the aim of modeling non-residential-driven demand in the commercial streets of Tokyo. We estimate potential revenues of commercial streets using the Huff model with its conventional specification as well as a variation of it that adopts pedestrian trajectory counts as the deterrence variable. We found that redistributing the potential expenditures toward the households’ daytime locations significantly increased the model’s performance. Additionally, we found that our use of pedestrian trajectory counts is comparable to using distance within the Huff model framework, but our proposed model was still outperformed by the conventional Huff model specification. We conclude that combining synthetic human mobility simulations and retail location models significantly increases the reliability of analysis in data-constrained situations.

2023

1. Behavioral Change

   Unmasking Socioeconomic Disparities: A Study of Urban Segregation through the Lens of Mobile App Usage Patterns

   Yuya Shibuya, Santiago Garcia, Sun Chenchen, Yu Peiran, Ma Jue, and Yoshihide Sekimoto

   In Abstracts of Netmob 2023 (2023)

   Netmob 2023 Best Challenge Contribution Runner-up

   Abs LINK

   Human mobility dynamics are interconnected with diversified lifestyles and human behavioral contexts in modern cities. By understanding how digital and real-world lifestyles intersect, we can gain insight into issues such as work-life balance, the divide between physical and digital experiences, and economic disparities in urban living. In this study, we examined mobile app usage data in France to explore how digital lifestyles are connected to urban segregation. Our findings show that app usage relates not only to land use patterns and time and week of days but also to income levels. For example, lower-income places use games and message apps relatively highly compared with higher-income places by 0.6 and 0.3 points, respectively. On the other hand, higher-income places use video call and email apps relatively highly compared with higher-income places by 0.4 points and 0.2 points, respectively. Additionally, our study sheds light on the importance of synchronicity in digital lifestyles in relation to the physical world. We found clusters with a strong synchrony of digital lifestyle. Further investigation on the impacts of socioeconomic and urban function on synchrony is needed.

2. Social Media Interaction

   Characterizing the Behavior of Healthcare Experts Towards COVID-19 Vaccine on Twitter

   Tomoka Nakazato, Yuya Shibuya, and Soichiro Takagi

   In Proceedings of WI-IAT2023 (2023)

   Abs LINK

   Spreading vaccine misinformation can have severe consequences on public health, including the increased risk of disease outbreaks. Even though experts with specialized knowledge can play a crucial role in combating vaccine misinformation, there is a lack of sufficient understanding of how healthcare experts communicated on social media during the early stages of the COVID-19 pandemic. Therefore, this study uses large-scale Twitter data in Japanese to examine how healthcare experts participated in key discussions about vaccines in 2020. By identifying healthcare expert users utilizing the Term Frequency - Inverse Document Frequency (TF-IDF) algorithm on social media profiles, we discover distinctive behaviors of healthcare expert users in vaccine communication. Our findings suggest that healthcare expert users were more likely to be pro-vaccine and less likely to be on the political right or neutral. We also find that healthcare professional users received more replies and had more followers. In addition, healthcare professionals tended to use different types of information sources compared with non-professionals. These findings suggest a unique position of healthcare professional users in social media. This study contributes to considering the role of healthcare experts in present public health policy, where social media has been increasing its presence.

3. Civic Tech

   Mainstreaming civic tech and citizen sensing: a research agenda on co-creation methods, data interfaces, and impact pathways

   Christoph Raetzsch, Andrea Hamm, and Yuya Shibuya

   Frontiers in Environmental Science (2023) 1228487:11

   LINK
4. Civic Tech

   Failed yet successful: Learning from discontinued civic tech initiatives

   Andrea Hamm, Yuya Shibuya, Teresa Cerratto Pargman, Roy Bendor, Nicolai Brodersen Hansen, Christoph Raetzsch, Masahiko Shoji, Christoph Bieber, Mennatullah Hendawy, Gwen Klerks, and Ben Schouten

   In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’) (2023)

   Abs LINK PDF Website

   The design of civic tech is often confronted with impediments, barriers, and a lack of resources. These and other causes may lead to the discontinuation and even abandonment of initiatives. Since seemingly failed projects are much more difficult to publish as articles, this workshop will provide academics and practitioners with a rare opportunity to exchange experiences and insights on discontinued civic tech initiatives. The goal of the workshop is to develop a better understanding of why some civic tech initiatives fail and ask whether discontinued initiatives may still somehow contribute to social change and the growth of digital civics. A variety of subquestions around discontinued civic tech will be addressed in the workshop, including matters of participation, citizen science, public management, power structures and biases, and communication.

5. Russo-Ukrainian War on Facebook: A Temporal and Spatial Study Based on BERTopic modeling

   Kai-Yi Tan, Chun-Ming Lai, Yin-Jie Foo, and Yuya Shibuya

   In Proceedings of International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications (SITAIBA 2023) (2023)

2022

1. Behavioral ChangeCivic Tech

   Do open data impact citizens’ behavior? Assessing face mask panic buying behaviors during the COVID-19 pandemic

   Yuya Shibuya, Chun-Ming Lai, Andrea Hamm, Soichiro Takagi, and Yoshihide Sekimoto

   Scientific Reports (2022) 12:1, 17607

   Abs LINK PDF

   Data are essential for digital solutions and supporting citizens’ everyday behavior. Open data initiatives have expanded worldwide in the last decades, yet investigating the actual usage of open data and evaluating their impacts are insufficient. Thus, in this paper, we examine an exemplary use case of open data during the early stage of the Covid‐19 pandemic and assess its impacts on citizens. Based on quasi‐experimental methods, the study found that publishing local stores’ real‐time face mask stock levels as open data may have influenced people’s purchase behaviors. Results indicate a reduced panic buying behavior as a consequence of the openly accessible information in the form of an online mask map. Furthermore, the results also suggested that such open‐data‐based countermeasures did not equally impact every citizen and rather varied among socioeconomic conditions, in particular the education level.

2. Social Media Interaction

   Mapping HCI research methods for studying social media interaction: A systematic literature review

   Yuya Shibuya, Andrea Hamm, and Teresa Cerratto Pargman

   Computers in Human Behavior (2022) 129:1, 107131

   Abs LINK PDF

   In the last decades, researchers in Human-computer interaction (HCI) took numerous efforts to investigate people’s social media interaction. To understand how researchers in HCI have studied social media interaction, we examined 149 peer-reviewed articles published between 2008 and 2020 in major HCI conference proceedings and journals. We systematically reviewed the methodologies HCI researchers applied, the research topics these methods covered, and the types of data collected. Through the analysis, we make three contributions: We (1) pinpoint the topic trends by identifying three phases in the study of social media interaction in HCI. Namely, the early phase (2008–2012) focused on user behavior, the growing phase (2013–2016), focused on privacy and health, and the latest phase (2017–2020) focused on design. (2) We map methodological trends in the study of social media interaction in HCI. We also illustrate the trends in relation to the types of data collected in the selected works and, (3) identify underexplored study areas.

2021

1. Civic Tech

   What Makes Civic Tech Initiatives To Last Over Time? Dissecting Two Global Cases

   Andrea Hamm, Yuya Shibuya, Stefan Ullrich, and Teresa Cerratto Cerratto Pargman

   In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (2021) :1, 1–17

   Abs LINK PDF

   Civic tech initiatives dedicated to environmental issues have become a worldwide phenomenon and made invaluable contributions to data, community building, and publics. However, many of them stop after a relatively short time. Therefore, we studied two long-lasting civic tech initiatives of global scale, to understand what makes them sustain over time. To this end, we conducted two mixed-method case studies, combining social network analysis and qualitative content analysis of Twitter data with insights from expert interviews. Drawing on our findings, we identified a set of key factors that help the studied civic tech initiatives to grow and last. Contributing to Digital Civics in HCI, we argue that the civic tech initiatives’ scaling and sustaining are configured through the entanglement of (1) civic data both captured and owned by the citizens for the citizens, (2) the use of open and accessible technology, and (3) the initiatives’ public narrative, giving them a voice on the environmental issue.

2. Civic Tech

   From Data to Discourse: How Communicating Civic Data Can Provide a Participatory Structure for Sustainable Cities and Communities

   Yuya Shibuya, Andrea Hamm, and Christoph Raetzsch

   In International Sustainable Development Research Society Conference (2021)

   Abs LINK PDF

   This study explores how Civil Society Organizations (CSOs) have leveraged civic data to facilitate democratic participatory structure for sustainability transitions around the case of bicycle counters in three US cities over a ten-year period (Seattle, San Francisco, Portland). We identified that CSOs have played crucial roles in public discourse by (1) sustaining long-term public issues through shaping affective as well as analytical discourses and (2) fostering citizens’ sense of ownership and contributions toward sensor devices and the data they generate by contextualizing them through local civic life as well as connecting issues to actors in other cities.

2020

2019

1. Crisis Informatics

   Detecting Disaster Recovery Activities via Social Media Communication Topics.

   Yuya Shibuya, and H. Tanaka

   In the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) (2019) , 706-718

   LINK PDF
2. Crisis Informatics

   How does a large-scale disaster impact on the used-car market? A case study of the Great East Japan Earthquake and Tsunami

   Yuya Shibuya, and H. Tanaka

   International Journal of Economic Policy Studies (2019) 13:1, 89–117

   The academic award of the Japan Economic Policy Association [Junior award]

   LINK PDF
3. Crisis Informatics

   Using Social Media to Detect Socio-Economic Disaster Recovery

   Yuya Shibuya, and H. Tanaka

   IEEE Intelligent Systems (2019) 34:3, 29–37

   LINK
4. Crisis Informatics

   Socio-Economic Disaster Recovery Captured by Big Housing Market Data

   Yuya Shibuya, and H. Tanaka

   In 2019 IEEE Global Humanitarian Technology Conference (GHTC) (2019) :3, 1–8

   In: 2019 IEEE Global Humanitarian Technology Conference (GHTC) (IEEE)

   ISBN: 978-1-72811-780-5

   LINK

2018

1. Crisis Informatics

   Public Sentiment and Demand for Used Cars after A Large-Scale Disaster: Social Media Sentiment Analysis with Facebook Pages

   Yuya Shibuya, and H. Tanaka

   In Proceedings of the 5th International Workshop on Social Web for Disaster Management (SWDM’18) (2018) :3, 6

   arXiv PDF
2. Crisis Informatics

   A Statistical Analysis Between Consumer Behavior and a Social Network Service: A Case Study of Used-Car Demand Following the Great East Japan Earthquake and Tsunami of 2011

   Yuya Shibuya, and H. Tanaka

   The Review of Socionetwork Strategies (2018) 12:2, 205–236

   LINK

2017

1. Crisis Informatics

   Mining social media for disaster management: Leveraging social media data for community recovery

   Yuya Shibuya

   In 2017 IEEE International Conference on Big Data (Big Data) (2017) :2, 3029–3036

   In: 2017 IEEE International Conference on Big Data (Big Data) (IEEE)

   ISBN: 978-1-5386-2715-0

   LINK
2. Civic Tech

   Impact of ICT tools on disaster logistics issues: A case study of the great east Japan earthquake and Tsunami of 2011

   Yuya Shibuya

   International Journal of Business and Information (2017) 12:3, 310–341

   LINK
3. Civic Tech

   A Typology For ICT-Facilitated Citizen Coproduction: Pre- and Post-Disaster

   Yuya Shibuya

   International Journal of Cyber Society and Education (2017) 10:2, 65–86

   LINK

国際会議・シンポジウム等口頭発表

2024

1. Civic Data: Building Democratic Participation through Civic Tech in the Age of Data Capitalism

   Yuya Shibuya

   In Symposium Creating Impact with Data Journalism: Pathways to Civic Communication and Engagement (2024)

   LINK

2023

1. Good News or Bad News? Political Social Media Messaging During the Tokyo Olympics

   Etienne Gagnon, Kenneth McElwain, and Yuya Shibuya

   In JPOSS (2023)

   LINK

2022

1. Insights on sustainability-oriented change in mobility stimulated by civic IoT applications

   Andrea Hamm, Yuya Shibuya, Rainer Rehak, and André Ullrich

   In EJEA International Conference (2022)
2. How to Do Things with "Values": A Cross-Linguistic Analysis of the Meanings and Functions of a Core Concept on Twitter.

   Avishai Green, Yuya Shibuya, Tommaso Trillo, Saki Mizoroki, Rebecca Scharlach, Blake Hallinan, Tim Park, Effi Levi, Elad Segev, Shaul Shenhav, and Limor Shifman

   In the 2022 Internet Research Conference (AoIR2022) (2022)
3. Journalism and the Democratic Interface: From Data Dashboards to Participatory Infrastructures.

   Christoph Raetzsch, Diogo Henriques, Andrea Hamm, and Yuya Shibuya

   In 9th European Communication Conference (ECREA 2022) (2022)
4. Whose Voices Have We Been Listening to? Opportunities and Challenges of AI for Disaster Management and Resilience.

   Yuya Shibuya

   In BIFOLD Summer School, Ethics in Machine Learning and Data Management (2022)

   Invited Talk
5. Towards Digital Twins of Japanese Cities

   Christoph Raetzsch, Diogo Henriques, Andrea Hamm, and Yuya Shibuya

   In Infrastructures of Publics Workshops (2022)

   Invited Talk
6. Sustainable or Resilient Societies? Comparing Notions of the "Smart City" between Germany and Japan

   Andrea Hamm, Yuya Shibuya, and Christoph Raetzsch

   In 16th Meeting of the German-Japanese Society for Social Sciences (GJSSS) (2022)
7. Intertwined Relations between Communication in Cyberspace and Economic and Political Situations in the Physical World.

   Yuya Shibuya

   In Early-Career Scholar Forum, UTokyo Center for Contemporary Japanese Studies (2022)
8. Good News or Bad News? Political Social Media Messaging during the Olympics.

   Yuya Shibuya

   In Japanese Society for Quantitative Political Science 2022 Winter Meeting (2022)

2020

1. Factors affecting inbound tourists to Japan: a panel data analysis

   Zhaoyuan Liu, Yuya Shibuya, and Soichiro Takagi

   In Proceedings of the Japan Association for Social and Economic Systems Studies (2020)

2018

1. Does Sentiment of Social Media Sense Mid-to Long-Term Socio-Economic Disaster Recovery? A Case Study of Hurricane Sandy Focusing on Housing Demand.

   Yuya Shibuya, and H Tanaka

   In Proceedings of the 17th International Conference of the Japanese Economic Policy Association (Oct. 2018) (2018)
2. How Does Public Sentiment on Social Media Reflect Socio-Economic Disaster Recovery?

   Yuya Shibuya, and H. Tanaka

   In Poster session presented at the 5th International Conference on Information Communication Technologies for Disaster Management (2018)
3. Topics of Social Media Communication and Socio-Economic Recovery.

   Yuya Shibuya, and H. Tanaka

   In Poster session presented at ISCRAM ASIA PACIFIC 2018 (2018)

   LINK

2017

1. A Demand Side Analysis of the Car Market after the Great East Japan Earthquake and Tsunami of 2011: A content analysis of Facebook Pages.

   Yuya Shibuya, and H Tanaka

   In Proceedings of the 16th International Conference of the Japanese Economic Policy Association (2017)

国内論文誌

1. 日本国内におけるメールセキュリティに関する実態把握

   近藤大嗣,  澁谷遊野,  山口利恵,  中田登志之, and  浅見徹

   情報処理学会論文誌 (2023) 64:11, 1537–1547

   情報処理学会論文誌ジャーナル/JIP特選論文

   LINK
2. Social Media Interaction

   FacebookにおけるCOVID-19関連偽情報の国内主要アクターとその特徴

   澁谷遊野

   社会情報学 (2022) 10:3, 13–30

   LINK
3. Crisis Informatics

   東日本大震災時の市町村における災害ロジスティクスに関する研究―ステークホルダーとの協働に着目して

   澁谷遊野

   社会・経済システム (2019) 38:3, 45–52
4. Crisis Informatics

   災害リスクガバナンスの観点からの災害関連 ICT システムの先行研究レビュー

   澁谷遊野

   情報学研究: 学環: 東京大学大学院情報学環紀要= Journal of information studies (2017) :92, 103–115

   LINK

国内学会発表論文・その他

1. Human Computer Interaction

   プライバシー情報を取得するスマートフォンアプリをインストールすることへのユーザーの受容と抵抗に関する調査

   小林良輔,  Etienne Gagnon,  澁谷遊野, and  山口利恵

   In Computer Security Symposium (2023)
2. 

   第2章 都市と地方の二元論を超える

   澁谷遊野,  高木聡一郎, and  福地真美

   (2023)

   In: インターネット・オブ・プレイス 「都市」の新しい拡張 (東京大学出版会) 高木聡一郎 Ed.

   ISBN: 978-4-13-061408-5

   LINK Amazon
3. Human Computer Interaction

   日本国内におけるメールセキュリティに関する実態把握

   澁谷遊野*,  近藤大嗣*,  山口利恵,  中田登志之, and  浅見徹

   In Computer Security Symposium (2022) , 83–88

   CSS2022優秀論文賞

   LINK
4. Behavioral Change

   シナリオに基づく擬似人流生成のためのシミュレーション基盤の構築

   澁谷遊野,  龐岩博, and  関本義秀

   In 第31回地理情報システム学会講演論文集 (2022)
5. Behavioral Change

   Unveiling social segregation of activity space among different income groups in Tokyo 23 wards based on multi-sources data

   Chenchen Sun, Yuya Shibuya, and Yoshihide Sekimoto

   In 第31回地理情報システム学会講演論文集 (2022)
6. Crisis Informatics

   Macroeconomic Modeling of the Recovery from Natural Disaster

   Soichiro Takagi, and Yuya Shibuya

   In 社会・経済システム学会 (2019)
7. Crisis Informatics

   大規模災害時の中古車需要に関する研究

   澁谷遊野他

   In 第二回計算社会科学ワークショップ (2017)

   LINK
8. Crisis Informatics

   ソーシャルメディアコミュニケーションと被災地の中古車需要に関する研究

   澁谷遊野他

   In 第7回災害コミュニケーションシンポジウム–災害時に必要な情報処理 (2017)

   LINK
9. Crisis Informatics

   大規模災害が中古車価格に与える影響に関する研究

   澁谷遊野他

   In 第74回日本経済政策学会 (2017)
10. Crisis Informatics

    東日本大震災時の市町村における救援物資ロジスティクスに関する研究

    澁谷遊野

    In 社会・経済システム学会第35回大会要項集 (2016)
11. Crisis Informatics

    事前準備期における災害関連ICTシステムのサスティナビリティに関する一考察

    澁谷遊野

    In 2016年社会情報学会SSI学会大会発表論文集 (2016)
12. Crisis Informatics

    ICTを活用した被災コミュニティの災害対応・復興支援の可能性 recoversを事例として

    澁谷遊野

    In 日本計画行政学会・社会情報学会共催第９回若手研究交流会予稿集 (2015)
13. Crisis Informatics

    災害復興の研究動向レビュー -地域コミュニティとソーシャル・キャピタルの観点から-

    澁谷遊野他

    In 社会情報学会SSI学会大会発表論文集 (2014) , 83–88

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