In the report, centering on the theme of Research on the Integration of "Science-Technology-Industry" under Multi-source Data Fusion, Professor Sun Jianjun presented the latest research achievements of his team in this field in a profound yet accessible manner. Starting with the national strategy of independent and self-reliant science and technology, Professor Sun systematically elaborated on the coordinated and cyclic relationship between science, technology and industry, and vividly demonstrated the core methodology constructed by the team: through the fusion of multi-source data in the "science-technology-industry" chain, the team carried out the design of multi-source and multi-modal data space in the ternary interdisciplinary field and the construction of knowledge graphs oriented towards deep semantic interconnection. He also innovatively combined technologies such as topic evolution analysis, deep learning and weak signal mining to accurately identify cross-innovation nodes among science, technology and industry, and predict the potential paths for their integrated development. Professor Sun not only expounded on the core issues of the research on "science-technology-industry" integration, but also emphasized that in the future, we should actively leverage the unique advantages of large models in knowledge services to achieve the leap from "resource integration" to "capability reconstruction". The report depicted a panoramic view of "science-technology-industry" integration and innovation based on data intelligence for the teachers and students present, highlighting the crucial role of this methodological system in supporting regional development strategies and building a national innovation ecosystem, which embodied profound theoretical depth and practical value.

Professor Sun Jianjun’s report focused on cutting-edge fields with original and insightful perspectives and detailed elaboration of research outcomes, which greatly stimulated the enthusiasm for exploration and in-depth thinking of the teachers and students present. This high-quality academic feast not only brought cutting-edge research perspectives and innovative insights in the field of "science-technology-industry" integration to the teachers and students of the School of Management, but also built a high-quality platform for inter-university academic exchanges, effectively boosting the improvement of the academic atmosphere and the expansion of academic horizons of the school.

Introduction of Lecturer

Sun Jianjun is a Professor and Doctoral Supervisor at the School of Information Management, Nanjing University, and Dean of the Institute of Humanities and Social Sciences Big Data. He serves as the Convenor of the 8th Disciplinary Review Group for Information Resource Management of the Academic Degrees Committee of the State Council, Vice Chairman of the China Society for Social Sciences Information, and Chairman of the Academic Committee of the China Society for Scientific and Technical Information. He has long been engaged in research on network information resource management and big data analysis, and has presided over major projects of the National Social Science Fund and other projects. He has won honors such as the Outstanding Achievement Award in Philosophy and Social Sciences of the Ministry of Education and the title of National Excellent Scientific and Technological Worker.

Written by/Li Jiabao Reviewed by/Jia Ming