Growth Path of Outstanding Science and Technology Talents: Research on the Growth Patterns of Science and Technology Talents at the Chinese Academy of Sciences

Author: Bai Chunli
Publisher:
Publish Date: 2007-01-01
Features: "The Research Group of the Chinese Academy of Sciences on the Growth Patterns of Science and Technology Talents, after more than a year of effort, utilized scientific sociological research methods to conduct detailed data analysis and summarize growth patterns targeting outstanding expert groups within the Chinese Academy of Sciences system, such as the academicians of the 'Two Academies' (CAS and CAE), outstanding '100 Talents Program' recipients, and major project leaders of the national '973' and '863' programs. Additionally, by combining interview content from the research and specific work practices, the group identified the main issues and countermeasures affecting the growth of science and technology talents, and conducted preliminary discussions on several key factors influencing this growth. These research findings hold significant reference value for science and technology policy researchers and science and technology management personnel."