让更多青年科技人才脱颖而出

Core Insights - A team of young scientists, primarily from the "post-90s" generation, has gained attention for their research paper on the DeepSeek-R1 inference model, published in the prestigious journal Nature [1] - Young scientific talent has become a backbone in major national technology projects and emerging fields like artificial intelligence, with 43.3% of project leaders in key national R&D plans during the 14th Five-Year Plan being under 45 years old [1] Group 1 - The current cultivation and utilization of young scientific talent in China face several challenges, including insufficient early career support, lack of growth platforms, and inadequate evaluation mechanisms tailored to their characteristics [2] - Young scientists are considered the most dynamic group for innovation, with optimal invention ages ranging from 25 to 45 years [2] - National laboratories and major technology tasks are crucial for nurturing young innovative talent, necessitating greater trust and support for these individuals to take on significant roles [1][2] Group 2 - Early career support for young scientific talent is primarily competitive project-based, which disadvantages those with fewer early research results [2] - There is a need to create a favorable innovation ecosystem, as nearly 60% of young talents feel burdened by administrative tasks, which detracts from their research focus [2] - Improving the institutional mechanisms that align with the growth patterns of young scientific talent will encourage more individuals to excel in building a strong technological nation [2]