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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

young scientists；global influence；open science；open source and standards；international collaboration；digital divide；research data sharing；reproducibility

Abstract

As China rises in the global innovation landscape, relying solely on attracting talent back home (“bringing in”) is no longer sufficient to meet the demands of the new stage of S&T development. Greater emphasis must be placed on “going out” to strengthen the influence in international rules and standards. Early-career scientists, at the peak of creativity and international mobility, are the pivotal group driving this transition. This study proposes a four-in-one framework, Talent–Open Source–Standards–Scenarios, which highlights leveraging global youth science networks to transform engineering practices into contributions to international rule-making. In terms of implementation, the study takes the Global Young Academy (GYA) and World Association of Young Scientists (WAYS) as the examples to illustrate how open science and open-source collaboration can generate reproducible engineering evidence; and ISO/IEC as a representative platform to show how such evidence can be institutionalized into technical provisions and diffused through cross-border mutual recognition. It further identifies structural challenges specific to basic science: digital divides in access to instruments, bandwidth and computational power, fragmented datasets and metadata, and reproducibility barriers. It then demonstrates how young scientists’ networks operationalize sharing mechanisms to lower search, trust and compliance costs. Building on these mechanisms, Chinese early-career scientists can lead by hosting mirror repositories and benchmarks via WAYS, convening replication taskforces within GYA, and advancing minimal data-reporting units into ISO/IEC pathways. Building on China’s existing talent policies, open-source ecosystem, standardization strategy, and data governance foundation, this study constructs a complete pathway from framework design to evaluation and governance, aiming to achieve high-level self-reliance under deeper openness and enhance the global visibility and adoption of China’s technologies and narratives.

First page

1917

Last Page

1924

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

[1] 陈凯华, 郭锐, 裴瑞敏. 我国科技人才政策十年发展与面向高水平科技自立自强的优化思路. 中国科学院院刊, 2022, 37(5): 613-621. Chen K H, Guo R, Pei R M. Ten-year development of China's science and technology talent policies and optimizing approach for sci-tech self-reliance and self-improvement. Bulletin of Chinese Academy of Sciences, 2022, 37(5): 613-621. (in Chinese)

[2] Baker M. 1,500 scientists lift the lid on reproducibility. Nature, 2016, 533: 452-454.

[3] 迟婧茹, 任孝平, 李子愚, 等. 加快构建具有全球竞争力的开放创新生态，推动更高水平科技创新开放合作. 中国科学院院刊, 2024, 39(2): 270-281. Chi J R, Ren X P, Li Z Y, et al. Accelerate to establish globally-competitive open innovation ecosystem, promote high-level open cooperation in science, technology and innovation. Bulletin of Chinese Academy of Sciences, 2024, 39(2): 270-281. (in Chinese)

[4] 孟繁超, 任孝平, 李子愚, 等. 关于国际科技组织在华发展的研究. 中国科学院院刊, 2024, 39(3): 472-487. Meng F C, Ren X P, Li Z Y, et al. Research on the development of international scientific and technological organizations in China. Bulletin of Chinese Academy of Sciences, 2024, 39(3): 472-487. (in Chinese)

[5] 郭华东, 陈和生, 闫冬梅, 等. 加强开放数据基础设施建设，推动开放科学发展. 中国科学院院刊, 2023, 38(6): 806-817. Guo H D, Chen H S, Yan D M, et al. Strengthening open data infrastructure and promoting open science. Bulletin of Chinese Academy of Sciences, 2023, 38(6): 806-817. (in Chinese)

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