The Academic Symposium on AI-Empowered Information Resource Management was successfully held in Jilin City, Jilin Province, from November 28 to 29, 2024. The event was co-hosted by the Information Technology Professional Committee of the China Society for Scientific and Technical Information, the National Science Library of the Chinese Academy of Sciences, and Beihua University. It was organized by the editorial team of Library and Information Service and Beihua University's School of Computer Science and Technology. Over 100 experts, scholars, university professors, and students from academic institutions, libraries, research organizations, and enterprises attended the symposium. The discussions focused on the transformative impacts of AI on information resource management and the strategies the field can adopt to respond effectively.
The opening ceremony of the symposium on the morning of November 28 was hosted by Professor Wang Dongmei, Dean of the School of Computer Science and Technology at Beihua University and a standing director of the Jilin Province Higher Education Computer Basic Education Research Association. In the opening addresses, Yang Zhaowu, Vice President of Beihua University; Zhang Zhixiong, Director of the Information Technology Professional Committee of the China Society for Scientific and Technical Information; and Liu Xiwen, Director of the National Science Library of the Chinese Academy of Sciences, each delivered speeches. They emphasized the contemporary significance and academic value of the symposium's theme, "AI Empowering Information Resource Management." The speakers warmly welcomed the participating experts, leaders, teachers, and students and extended their best wishes for the success of the conference.
The first half of the morning session on November 28 was chaired by Professor Chu Jingli, Chair of the Academic Committee of the National Science Library of the Chinese Academy of Sciences and Head of the Department of Information Resource Management at the University of the Chinese Academy of Sciences. Liu Xiwen, Director of the National Science Library of the Chinese Academy of Sciences, delivered a presentation titled "Intelligence Agents: A New Paradigm for Scientific and Technical Information in the 15th Five-Year Plan". Liu began by revisiting the historical development of scientific and technical information work, analyzing the drivers of transformation in the field. He highlighted the latest transformative factors—“new quality productivity” combined with advanced AI technologies such as large language models—and examined how AI empowers scientific information service. He proposed that developing intelligence agents should be the future focal point of the 15th Five-Year Plan in the field. Following this, Zhang Zhixiong, Deputy Director of the National Science Library, presented "Semantic Intelligence Supporting the Evaluation of Scientific Literature". Zhang systematically introduced the research background, ideas, solutions, and progress in semantic intelligence for literature evaluation. He emphasized that fine-grained evaluation of both content and context in scientific literature is foundational for building evidence chains. Simple entity annotations are insufficient; assertions with explicit semantic relationships must be annotated to construct evidence relationships. Zhang concluded by stating that significant future research opportunities exist and there is extensive work yet to be accomplished in this area.
The second half of the morning session on November 28 was chaired by Professor Li Yuhai, Director of the Innovation and Development Research Center at the Library of Central China Normal University. Professor Yao Shanji, Dean of the School of Economics and Management at Nanjing Tech University, presented on "AI Empowering User Information Behavior Research." Yao systematically reviewed and analyzed several key aspects of user information behavior in the digital age, including types of user information behavior in the digital age, user information behavior types domestic researchers focus on, AI’s effect on user information behavior, and research on user information behavior from the privacy perspective.
The first half of the afternoon session on November 28 was chaired by Wang Yu, Party Secretary of the Library at Shenyang Normal University. Professor Zhang Bin, Director of the Library at Renmin University of China and a faculty member at the School of Information Resource Management, presented the topic "Empowering the Revitalization and Utilization of Red Heritage Literature with New Productivity." He began by exploring the relationship between new productivity and Red Heritage literature, elaborated on the value of Red Heritage documents at Renmin University's library, and shared practical experiences in revitalizing and utilizing these documents. He concluded by forecasting pathways for leveraging new-quality productivity to enhance the utilization of red heritage literature. Professor Li Yuhai, Director of the Innovation and Development Research Center at the Library of Central China Normal University, presented on "Integrating AI into Management Information Systems Course Construction." He proposed strategies for incorporating AI into curriculum design, emphasizing the interdisciplinary nature, hands-on applicability, and widespread use of management information systems. Mou Dongmei, Distinguished Teacher under the Kuang Yaming Talent Program at Jilin University and Director of the Big Data Center at Jilin University First Hospital, delivered a talk titled "Real-World Data Collection and Governance for Clinical Research." Mou systematically reviewed the development of AI in clinical medical research, discussed challenges in applying real-world data to medical studies, and introduced compliant data collection and governance practices. Additionally, she highlighted advancements in integrating real-world data for research through a "knowledge-data" driven approach.
The second half of the afternoon session on November 28 was chaired by Professor Zuo Meiyun, Wu Yuzhang Chair Professor at Renmin University of China, and Director of the Smart Society Management and Engineering Laboratory at the School of Information at Renmin University. Professor Li Guangjian, from the Department of Information Management at Peking University, presented on the topic "Key Technologies for Intelligent Information Services in the Era of Smart Data." He reviewed the history of AI empowering information service, outlined the key technologies under the framework of "AI for Information Service," and stressed that AI should serve as a tool for information service, rather than information service becoming a tool for AI. Professor Wang Yuefen, Distinguished Professor and Dean of the Institute of Big Data Science at Tianjin Normal University, delivered a talk titled "Comparative Study of Two Novelty Measurement Methods for Knowledge Content: A Case Study Using AI Data." She provided an in-depth explanation of the principles behind measuring knowledge content novelty and presented an empirical comparative analysis of two measurement methods. Lei Xinhua, General Manager of Beijing Sozdata Technology Co., discussed "Pathways for Information Resource Management in the Era of Smart Data: From Data Governance to AI Models." Lei surveyed the use of AI tools among university students, summarized key application scenarios of AIGC (AI-generated content), and envisioned the future of developing high-quality factual data models powered by AI+’s vast multidimensional datasets.
The first half of the morning session on November 29 was chaired by Professor Zhao Limei from the School of Information Management at Heilongjiang University. Professor Huang Shuiqing from the School of Information Management at Nanjing Agricultural University presented on "AI-Empowered Information Resource Management and Service Risk Prevention." His talk provided a cognitive perspective on AI development, analyzed potential risks in AI applications to information resource management and services, and discussed frameworks for assessing and controlling these risks. Professor Ma Jie, Vice Dean of the School of Business and Management at Jilin University and Kuang Yaming Distinguished Professor, delivered a lecture titled "Current Status, Issues, and Trends of AI-Empowered Research Methods in Information Resource Management." She reviewed the concepts and evolution of artificial intelligence and large language model technologies. Through statistical analysis of key research terms, he identified emerging trends, including technological integration and innovation, deepened interdisciplinary research, data-driven research paradigms, and advancements in talent cultivation and knowledge updating. Professor Li Yuelin, Dean of the Office of Academic Affairs and Beiling College at Nankai University, discussed "A Human-Centered Theoretical Framework for Intelligent Information Services: A Systematic Review." She defined AI-empowered intelligent information service (IIS) as the use of AI technologies to meet users' information needs in diverse and dynamic environments. She emphasized that being human-centered is essential to IIS, advocating for the development of theoretical frameworks to better understand and implement human-centered IIS (HCIIS).
The second half of the morning session on November 29 was chaired by Professor Mou Dongmei, Kuang Yaming Distinguished Educator at Jilin University and Director of the Big Data Center at the First Hospital of Jilin University. Professor Pei Lei, Dean of the School of Information Management at Nanjing University, presented a report titled "Cognitive Security and Data Governance in the AI Era." His presentation covered advancements in research on generative artificial intelligence from a cognitive security perspective and explored corresponding data governance strategies. Professor Chu Jingli, Chair of the Academic Committee at the Chinese Academy of Sciences Documentation and Information Center and Director of the Department of Information Resource Management at the University of the Chinese Academy of Sciences, delivered a lecture on "AIGC Policies for Academic Journals." His discussion analyzed the phenomenon of AI-generated academic papers, addressing critical issues such as the intersection of AI-generated research with academic integrity, and the implications for research writing and scientific skill development.
In the afternoon, Associate Dean Zhang Zeliang of the School of Computer Science and Technology at Beihua University chaired a discussion panel focused on "Preprints and Public Academic Platforms." Liu Jingyu, Associate Research Librarian at the National Science Library of the CAS, shared insights into advancements and challenges related to preprints and their role in open-access scholarly communication.
In closing, Professor Chu Jingli delivered the concluding remarks for the symposium. He highlighted the valuable discussions on various theoretical and practical issues surrounding AI-empowered information resource management. Professor Chu praised the academic importance of the symposium, expressed heartfelt thanks to Beihua University for its strong support, and extended gratitude to all participating experts and delegates for gathering in the beautiful city of Jilin. He finished by expressing his hope to reunite with everyone at future academic events.
The LIS Press Co., Ltd.
December, 2024
