Construction of research teams,an important component of disciplinary development,plays a crucial role in cultivating high-level talents and enhancing disciplinary competitiveness.As the main channel for funding basic research in China,the National Natural Science Foundation of China(NSFC)shoulders the responsibility of leading disciplinary development and supporting talent cultivation.The analysis of research team structure is a hot topic in talent geography,scientometrics,and research management studies.However,existing research has rarely analyzed the age structure and its impact on the development of geographical science disciplines.To address these gaps in existing research and more effectively promote the optimization of research team structure supported by the NSFC,this article systematically analyzes the dynamic characteristics of the talent team structure in the geographical science discipline based on information from project leaders of NSFC projects in the field of geographical science from 1986 to 2022.The results show that,the age structure of the geographical science discipline team has been optimized,the proportion of young research groups has continued to increase,and the overall vitality of the discipline has been significantly enhanced in the past 20 years.However,influenced by regional soft power and the inherent characteristics of branch disciplines,significant differences in the talent team structure between different regions and branches have emerged.In the process of leading disciplinary development and supporting talent team construction in the future,the NSFC in the field of geographical science needs to further provide corresponding strategic guidance according to the internal development logic and existing development stages of the discipline,so as to support the high-quality development of the research team structure in the discipline.
关键词
国家自然科学基金/地理科学/人才队伍建设/年龄结构/优化策略
Key words
National Natural Science Foundation of China(NSFC)/geographical science/research team construction/age structure/optimization policy
维普
万方数据