Time: 10:00-12:00, 27 May 2026
Speaker: Ke Rong is a Tenured Professor and Doctoral Supervisor at Tsinghua University, PhD from the University of Cambridge. He currently serves as Director of the Institute of Economics, School of Social Sciences, Tsinghua University, and a Member of the Higher Education Teaching Steering Committee under the Ministry of Education. He is the Founding Editor-in-Chief of the Journal of Digital Economy and Domain Editor of the top international journal Journal of International Business Studies.He has been listed in the World's Top 2% Scientists and Elsevier China Highly Cited Researchers. His research focuses on business and innovation ecosystems, the global digital economy and big tech firms, as well as artificial intelligence and data ecosystems. He has published more than 80 papers in leading academic journals and authoritative newspapers, including Management Science, Strategic Management Journal, JIBS, POM, Social Sciences in China, People's Daily (Theoretical Edition) and Economic Research Journal. He is the author of multiple monographs and textbooks such as Theory of Data Elements, Digital Economics, and Sustained Win-Win Outcomes: Methodology for Building Business Ecosystems.He has presided over more than 30 research projects including key programs of the National Natural Science Foundation of China, major projects of the National Social Science Fund of China, and research commissions from large tech enterprises, concentrating on critical areas including the digital economy, basic software and data elements. Multiple pieces of his policy research have received instructions from central leaders, and he participated in drafting national policy documents including the National Basic Data System and the AI Plus Initiative.As the first completer, he has received numerous prestigious awards, including the Liu Shibai Economics Prize, the First Prize of Beijing Philosophy and Social Sciences Outstanding Achievements, and the China Management Young Scholar Award.
Abstract:
Taking the X-Ecosystems theory as the analytical framework, this paper explores the evolutionary logic and operational mechanism of the innovation ecosystem in the artificial intelligence sector. From multiple dimensions including technology research and development, industrial application, factor coordination and governance rules, it dissects the interconnected and symbiotic relationships among stakeholders in AI innovation. Combined with practical bottlenecks in the industry, this study identifies feasible approaches to breaking ecological barriers, allocating resources efficiently and translating innovation into tangible value, thereby offering theoretical references and practical solutions for the high-quality development of the artificial intelligence industry and the improvement of its ecosystem.
