RESEARCH

Behavior Change in Urban Spaces (2022-)

Understanding the current state and what would happen when something was changed, introduced, or removed plays a key role in discussing, designing, and planning sustainable transitions. Advanced technologies and data enable us to analyze as many scenarios as possible before implementing policies or introducing infrastructures in urban spaces. We address the following research questions in order to make such solutions more equitable, diverse, and inclusive for broader cities and villages: (1) how to design participatory structures through digital solutions in cities and villages, (2) how to simulate human behavior changes in cities and villages with considering socio-economic heterogeneity, and (3) how to estimate and evaluate human behavior changes in urban spaces.

Selected published works

• Shibuya, Yuya, Chun-Ming Lai, Andrea Hamm, Soichiro Takagi, and Yoshihide Sekimoto. (2022). Do Open Data Impact Citizens’ Behavior? Assessing Face Mask Panic Buying Behaviors during the Covid-19 Pandemic. Scientific Reports. 12 (1): 17607. https://doi.org/10.1038/s41598-022-22471-y.

• 澁谷 遊野, 龐 岩博, 関本 義秀. (2022) 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. 第31回地理情報システム学会講演論文集.

Data, Communication, and Particiaptroy Structure in the Digital Era (2020-)

• Civic Tech, Digital Civics, and Communication

With critical perspectives, the research empirically explores how digital media and data facilitate a democratic participatory structure for sustainability transitions in cities.

Selected published works

• Hamm, Andrea, Shibuya, Yuya, Teresa, Cerratto Pargman, Bendor, Roy, Brodersen-Hansen, Nicolai, Raetzsch, Christoph, Shoji, Masahiko, Bieber, Christoph, Hendawy, Mennatullah, Klerks, Gwen, & Schouten, Ben. (2023). Failed yet successful: Learning from discontinued civic tech initiatives. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA.

• Shibuya, Yuya, Hamm, Andrea, & Raetzsch, Christoph. (2021). From Data to Discourse: How Communicating Civic Data Can Provide a Participatory Structure for Sustainable Cities and Communities. Proceedings of the International Sustainable Development Research Society (ISDRS), July 13-15, 2021, Sweden.

• Hamm, Andrea, Shibuya, Yuya, Ullrich, Stefan, & Cerratto Pargman, Teresa. (2021). What Makes Civic Tech Initiatives To Last Over Time? Dissecting Two Global Cases. In CHI ’21: Proceedings of the 39th Annual ACM Conference on Human Factors in Computing Systems, May 08–13, 2021, Yokohama, Japan. ACM, New York, NY, USA

• Why is the best cutting-edge solution not always the best?

Security theater: Ineffective and harmful email security practices

• 澁谷遊野^*, 近藤大嗣^*, 山口利恵, 中田登志之, 浅見徹 (2022). 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. Computer Security Symposium 2022, Kumamoto, Japan. (^*shared co-first authorship) [CSS2022優秀論文賞]

• Social Media Interaction

How can we design and study Social Media Interaction (Shibuya, Hamm, Cherrato Pargman, 2022)?

• Shibuya, Yuya, Hamm, Andrea, & Cerratto Pargman, Teresa. (2022). Mapping HCI Research Methods for Studying Social Media Interaction: A Systematic Literature Review. Computers in Human Behavior, 129, 107131.

• Mis/disinformation and Socio-Economic Situations

This research is supported by JSPS KAKENHI Grant-in-Aid for Early-Career Scientists, Grant Number JP21K13278.

• 澁谷遊野, (2022), 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. 社会情報学, 10(3), 13-30.

Digital Economy and Cities/Regions (2020-2021)

• City as a platform

Disaster Recovery in the Digital Era (2017-2019)

Socio-Economic Disaster Recovery captured by Big Data

The study 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, the study 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 study pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics. In terms of its contributions, firstly, the study 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 study proposes new socio-economic recovery indicators: social media communication data, 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 people behind communications. The study demonstrates the importance of taking into consideration geological closeness and people's personal relations to the affected areas (i.e., whether communications are posted by people who are at or near disaster-stricken areas and by those who are farther away).

Selected published work

• Shibuya, Yuya, (2020). Social Media Communication Data for Recovery: Detecting Socio-Economic Activities Following a Disaster. Springer, DOI:10.1007/978-981-15-0825-7.

• Shibuya, Yuya & Tanaka, H. (2019), Detecting Disaster Recovery Activities via Social Media Communication Topics. In Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019), 706-718, May 19-22nd 2019. Valencia, Spain.

• Shibuya, Yuya & Tanaka, H., (2019). Using Social Media to Detect Socio-Economic Disaster Recovery. IEEE Intelligent Systems, May/June 2019, 34(3), 29-37.

• Shibuya, Yuya. (2017). Mining Social Media for Disaster Management: Leveraging Social Media Data for Community Recovery, In Proceedings of IEEE Big Data workshop on the 2nd International workshop on application of big data for computational social science (Dec. 2017), Boston, MA. 3029-3036.