Title: The Internal Driving Force and Cognitive Transformation of the Transformation of Social Science Research in the Digital-Intelligent Era

Speaker: Wang Guocheng, Professor, Ph.D. Supervisor, University of Chinese Academy of Social Sciences; Director, Computational Social Science Research Center; Recipient of the Special Government Allowance of the State Council; Distinguished Scholar of Quantitative Economics in China; Emeritus Researcher, Institute of Quantitative Economics and Technical Economics, Chinese Academy of Social Sciences. He concurrently serves as Standing Director and Deputy Director of the Academic Committee of the Chinese Society of Quantitative Economics, Chairman of the National Association for Game Theory and Experimental Economics, and Chairman of the National Association for Interdisciplinary Research on Economic Complexity. He has long been committed to basic original research on the in-depth integration of science and technology with humanities. He has published more than 100 academic research papers in journals across the fields of economics, management, science, and engineering, and has published 9 personal academic monographs such as "Is the Chinese Economy Complex? - Insights from the Perspective of Connecting Macro and Micro" and "Introduction to Computational Social Science - From Micro Behavior to Macro Emergence", as well as more than 20 co-authored and translated works. He has presided over 6 projects including the National 973 Project, National Natural Science Foundation of China Projects, National Social Science Foundation of China Projects, and international cooperation projects, and served as the Chinese lead of the China-UK government cooperation project (ES/N00762X/1), as well as a number of provincial and ministerial-level projects. He is the founder and president of the Yanhuang Talents Research Institute, and honorary president and chief scientist of the Qidian Digital Economy Research Institute (Chongqing). His academic insights and achievements such as connecting macro and micro, micro-behavioral analysis and modeling of economic complexity, and experimental evaluation of behavioral traits have been highly praised by domestic and foreign peers and have had a good social impact.

Abstract: This paper discusses the impacts and challenges brought by digital intelligence to humanities and social sciences research. From an interdisciplinary perspective, it deeply analyzes the behavior of micro subjects, discusses the two-way value alignment in the digital and intelligent transformation of social sciences research, and understands and reveals practical problems such as increased complexity and emerging anomalies. The in-depth integration of digital and intelligent technology with humanities and social sciences, as well as the symbiosis of virtual and real integration, changes people’s way of cognizing the world and society. Its core value and greatest contribution lie in stimulating wisdom creativity and spiritual productivity. In academic research, it faces individual heterogeneity and behavioral diversity, and comprehensively uses multiple methods such as quantitative empirical analysis, experimental methods, human-computer collaboration, and mechanism generative simulation to construct a "digital-intelligent cognitive system". It explores the development prospects of Agent-based AI generative economic large models and AI Agents + LLMs, adheres to people-oriented principles, breaks disciplinary barriers with "problem orientation", and realizes the transformation of humanities and social sciences research from imitation to the creation of an independent knowledge system.

Date & time: 13 September 2025, 14:30-16:00

Venue: B609, Yifu Information Technology Building, Central Campus, Shandong University