These are two seminars delivered by professors at the Chiba University of Commerce.
Topic 1: Understanding Complex Social-Technical Systems through Agent and Gaming Simulation
Time: 14h00, Tuesday, August 30th, 2022
Speaker: Prof. Takao Terano, Chiba University of Commerce
📌 Location: Room 404, B1 Building, Hanoi University of Science and Technology
✅ Abstract:
Agent-Simulation is a tool to know about a could-be-world. Also, Gaming-Simulation is a language to communicate the future. In this talk, I will discuss a new approach to understand complex socio-technical systems through both concepts. We start basic features on complex and/or complicated socio-technical systems, which address both technical and social issues with human decision- making processes. Then, we explain the importance of new ways of system thinking with human-in-the-loop manners. For the purpose, we propose a methodology to amalgamate agent- and gaming-simulation.
✅ Speaker Bio:
Dr. Terano is a professor of Platform for Liberal Arts and Sciences, Chiba University of Commerce. He received BA degree in Mathematical Engineering in 1976, and M. A. degree in Information Engineering in 1978 both from University of Tokyo, and Doctor of Engineering Degree in 1991 from Tokyo Institute of Technology. His interests include agent-based Modeling, Knowledge Systems, Evolutionary Computation, and Service Science. He is a member of the editorial board of major Artificial Intelligence- and System science- related academic societies in Japan and a member of IEEE, and the president of PAAA.
Slides: HUST_Terano-202208
Recording: to be updated …
Topic 2: Structuring Topics on Large-Scale Twitter for Discovering People’s Perceptions
Time: 15h00, Tuesday, August 30th, 2022
Speaker: Prof. Takako Hashimoto, Vice President, Director of International Center, Professor, Chiba University of Commerce
📌 Location: Room 404, B1 Building, Hanoi University of Science and Technology
✅ Abstract:
Twitter is currently one of the most influential microblogging services on which users interact with messages. This talk introduces a clustering method that automatically discovers coarse-grained topics from large scale Twitter data. We evaluate the computational efficacy of the proposed method and demonstrate its systematic improvement in scalability as the data volume increases. The results of applying the proposed method to a large Twitter data set (26 million tweets) on COVID-19 vaccination in Japan are presented. We also collected over 100 million vaccine-related tweets posted by 8 million users and used the Latent Dirichlet Allocation model to perform automated topic modeling of tweet text during vaccination campaigns in Japan, and show that civic engagement on social platforms contributed to reducing anxiety and speeding up vaccination through social learning and support.
✅ Speaker Bio:
Takako Hashimoto graduated from the Ochanomizu University in Japan, and received a Ph.D. in computer science, specialization in multimedia information processing, from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005. She worked at the software R&D center of Ricoh Co. Ltd., in Japan for 24 years, and participated in the development of many software products as a technical leader. From April of 2009, she was involved in Chiba University of Commerce. In 2015, she stayed at University of California, Los Angeles as a visiting researcher. She is currently the Vice President and Professor of the faculty of Commerce and Economics at Chiba University of Commerce. She has focused on the data mining research and the social media analysis, especially topic extraction from millions of tweets related to disasters and topical problems like COVID-19. She is served as a Board Member of the Database Society of Japan, Chair of IEEE Japan Council, and BoG of IEEE Computer Society and has served as the Past Chair of IEEE Women in Engineering (2015-16). In 2019, she received the IEEE 2019 MGA Larry K. Wilson Transnational Award, and Fellow of the Information Processing Society of Japan.
Slides: HUST_Takako-0830
Recording: to be updated …