Symposium on Computational Socila Science (@HICSS2026)
Modern social science is facing a paradigm shift due to the development of computer and Internet technologies. Human behavior and social phenomena are possible to be quantified by big data digitally tracing online activities and mobility records at a granular level. In some cases, big data can be analyzed using technologies evolving in the natural sciences, such as physics, chemistry, and biology. Experimental data and multiple results from theoretical and computational simulations complement them. Both theoretically and analytically grounded insights may open new doors of computational social sciences.
From this perspective, we will hold a mini-symposium on issues related to computational social science. The scope of the mini-symposium includes, but is not limited to, big data applications, big data collection and use, an integrated framework for theory, simulation, statistics, and experiments.
The Society for CSSJ is actively involved in hosting international conferences as a research outreach activity, and this year we will hold a “Mini-Symposium on Computational Social Science” at HICSS in January 2026. The purpose of this mini-symposium is to introduce outstanding papers presented at the 4th annual conference of CSSJ held at University of Tsukuba in 2025 as invited papers to the world, thereby contributing to Japan’s presence.
DATE & PLACE
January 6, 2026. (Hybrid Conference / Hawaii, USA)
In conjunction with The 59th Hawaii International Conference on System Sciences (HICSS)
zoom (TBA)
Program
13:00 – 13:05 Opening Talk: Isamu Okada, Soka University, Organizer
13:05 – 13:22 Invited Talk: Hiroaki Tanaka, NTT DOCOMO
Estimating work engagement from online chat tools
13:22 – 13:39 Invited Talk: Takuro Niitsuma, The Asahi Shimbun Company
Prestige Bias in Repost Amplification on X: An Observational Study of 55M Posts and 520M Reposts
13:39 – 13:56 Invited Talk: Yuki Sato, Kyoto University
The universal square-root responses of the financial prices from institutional traders’ order submission behaviour.
13:56 – 14:13 Invited Talk: Yuhei Yamaguchi, Tohoku University
Assessing the Roles of Social, Economic, and Human Capital in Post-Disaster Agricultural Resilience Using Satellite Remote Sensing
14:13 – 14:30 Invited Talk: Ryu Takahashi, The University of Tokyo
Does people imitate successful one?: Critical investigation of the network reciprocity model
14:30 – 14:50 Coffee Break
14:50 – 15:07 Invited Talk: Kanoko Morita, Nagoya University
How do urban elderly residents in Japan use smartphones right after natural disasters? -From second-to-second usage logs of the devices during 2021-2023-
15:07 – 15:24 Invited Talk: Atsuhiko Uchida, Kobe University
Data-Driven Insights into Urban Parks: Biodiversity, Neighborhood Context, and Subjective Well-Being
15:24 – 15:41 Invited Talk: Takuma Tanaka, Shiga University
Continuous but diffusive and unpredictable: the evolution of a classical literary genre, waka, analyzed by a neural language model BERT
15:41 – 15:58 Invited Talk: Hibiki Nakamura, The University of Tokyo
Assessing YouTube’s Potential as an Emerging Political Media and Analyzing the Negativity Bias in Japan’s Elections
15:58 – 16:00 Closing Talk: Dongwoo Lim, Kansai University, Co-organizer
Abstracts
Main Chairs
- Isamu Okada, Soka University (primary contact)
- Fujio Toriumi, The University of Tokyo
- Dongwoo Lim, Kansai University
