Aim and Scope:
The analysis of social phenomena driven by data utilizes technologies such as big data mining and machine learning to analyze social phenomena like social networks, economic activities, and population mobility, and to gain an in-depth understanding of social behavior patterns. Computational modeling and simulation involve constructing computational models of social systems, simulating processes such as social evolution and group decision-making, and predicting social development trends. Social computing and policy evaluation rely on computational means to assess the effectiveness of policies, provide a scientific basis for policy formulation, and promote the sustainable development of society.
Acknowledgements:
This special session is organized by Prof. Ji Luo (Wenzhou University of Technology/Tsinghua University, China).
Introduction to organizers:
Prof. Ji Luo received his Ph.D. degree in Guangxi University, China. He is visiting scholar of Birmingham City University, UK. Now he is associate professor at Wenzhou University of Technology and special researcher at Tsinghua University, China. In the past five years, he have published more than 30 SCI/SSCI/EI papers, including more than 10 ESI 0.1%hot paper/1%highly cited paper. Recently, he have mainly focused on computing social science.
Submission Process:
If you wish to participate in this special session--GASC, please submit your manuscript through the ConfSync:https://confsync.cn/csae/submission and select the Section "Generative AI and Social Computing: Interdisciplinary Integration and Ethical Challenges".We will assign your submission to Prof. Ji Luo for a preliminary review. After passing the preliminary review, your manuscript will undergo a secondary review by experts. Notifications of acceptance will be issued concurrently with the main conference notifications. For any questions, please contact: info@confsync.cn.