| 杨 扬,贾晓峰.新科研范式下“有组织的基础研究”的可行性与发展路径研究[J].全球科技经济瞭望,2026,41(1):18~25 |
| 新科研范式下“有组织的基础研究”的可行性与发展路径研究 |
| Research on the Feasibility and Development Pathways of“Organized Basic Research” under the New Scientific Paradigm |
| 投稿时间：2025-10-13 |
| DOI：10.3772/j.issn.1009-8623.2026.01.003 |
| 中文关键词: 有组织的基础研究；人工智能驱动的科学研究；科研范式 |
| 英文关键词: Organized Basic Research;Artificial Intelligence for Science; Scientific Paradigm |
| 基金项目:癌症、心脑血管、呼吸和代谢性疾病防治研究国家科技重大专项“科技创新政策与科技项目管理综合应用研究” （2023ZD0509600），重大科技项目管理制度与创新体系建设研究（2023ZD0509602） |
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| 摘要点击次数: 27 |
| 全文下载次数: 34 |
| 中文摘要: |
| 以人工智能驱动的科学研究（Artificial Intelligence for Science，AI4S）为代表的第五代科研
范式正在深刻重塑“有组织的基础研究”的组织逻辑。通过分析政府主导的组织策略与AI4S 技术的
演进特征，系统梳理了该范式在科研资源重构、科研工具转型以及组织模式演进等方面带来的变革机
遇，并识别出其实际应用过程中存在的组织配合、技术可行性、协同生态等方面问题。为应对AI4S
范式下“有组织的基础研究”面临的多重困境，可从革新科研组织模式、构建智能技术基座与优化研
究生态系统三个方面进行改革，有效增强基础研究的体系化能力与可持续创新活力。 |
| 英文摘要: |
| The fifth paradigm of scientific research, represented by Artificial Intelligence for Science
(AI4S), is profoundly reshaping the organizational logic of“organized basic research”. By analyzing the
organizational strategies led by the government and the evolutionary characteristics of AI4S technologies, this
paper systematically examines the transformative opportunities brought about by this paradigm in terms of
restructuring scientific research resources, transforming research tools, and evolving organizational models. It also
identifies the challenges encountered in practice, including organizational coordination, technological feasibility,
and collaborative ecosystems. To address the multiple challenges facing“organized basic research” under the
AI4S paradigm, reforms can be pursued in three key aspects: innovating research organization models, building
intelligent technology infrastructure, and optimizing the overall research ecosystem. These measures aim to
effectively enhance the systemic capabilities and sustained vitality for innovative of basic research. |
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