Understanding what would happen when something was changed, introduced, or removed plays a key role in discussing, designing, and planning future societies. The use of advanced technologies and data enables us to analyze as many scenarios as possible before implementing policies or introducing infrastructures in urban spaces to see how these changes will affect cities and towns. We address the following research questions in order to make such solutions more equitable, diverse, and inclusive for broader cities and towns: (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.
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
Security theater: Ineffective and harmful Email security practices
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.
This research is supported by JSPS KAKENHI Grant-in-Aid for Early-Career Scientists, Grant Number JP21K13278.
Socio-Economic Disaster Recovery captured by Big Data
Selected published work
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. (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.