研究论文

国内外人工智能驱动的科学研究(AI4S)政策研究——基于“结构—工具—效力”三维框架的分析

  • 苗含雨 ,
  • 周力虹 ,
  • 王曾敏
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  • 武汉大学信息管理学院 武汉 430072
苗含雨,博士研究生;周力虹,教授,博士,博士生导师,通信作者,E-mail:L.zhou@whu.edu.cn;王曾敏,博士研究生。

收稿日期: 2025-05-07

  修回日期: 2025-08-07

  网络出版日期: 2026-07-13

基金资助

2024年国家社会科学基金重点项目“面向人工智能驱动科学(AI4S)的高校图书馆科研支持服务研究”(项目编号:24ATQ008)研究成果之一。

A Comprehensive Study of Artificial Intelligence for Science (AI4S) Policies at Home and Abroad: Based on the Three-dimensional Framework of Structure-Tool-Effectiveness

  • Miao Hanyu ,
  • Zhou Lihong ,
  • Wang Zengmin
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  • School of Information Management, Wuhan University, Wuhan 430072
Miao Hanyu, Doctoral Candidate; Zhou Lihong, Professor, PhD, Doctoral Supervisor, Corresponding Author, E-mail: L.zhou@whu.edu.cn; Wang Zengmin, Doctoral Candidate.

Received date: 2025-05-07

  Revised date: 2025-08-07

  Online published: 2026-07-13

Supported by

This work is supported by Key Project of the National Social Science Fund of China (2024), titled “Research on Research Support Services of University Libraries for AI for Science (AI4S)” (Grant No. 24ATQ008).

摘要

[目的/意义]“人工智能驱动的科学研究”是帮助发现新知识、解决科学难题的新型科学研究范式。通过对不同国家(地区)AI4S政策进行综合分析与评价,为我国下一阶段政策制定、调整和完善提供依据。[方法/过程]通过网络调查采集到有效政策文本共计31份,构建“结构—工具—效力”三维分析框架,依次运用BERTopic、内容分析法与PMC指数模型,对7个国家(地区)的AI4S政策文本进行多维度挖掘和系统分析。[结果/结论]立足我国AI4S政策未来发展,提出应推动多元主体协同参与,丰富政策主题范围;理性选择政策工具箱,发挥政策推拉双向作用;多维跟踪政策效力,促进优质政策不断增加。

本文引用格式

苗含雨 , 周力虹 , 王曾敏 . 国内外人工智能驱动的科学研究(AI4S)政策研究——基于“结构—工具—效力”三维框架的分析[J]. 图书情报工作, 2026 , 70(14) : 27 -42 . DOI: 10.13266/j.issn.0252-3116.2026.14.003

Abstract

[Purpose/Significance] ‘Artificial Intelligence for Science’ (AI4S) is a new scientific research paradigm that helps to discover new knowledge and solve scientific problems. Through the comprehensive analysis and evaluation of the existing policies in different countries (regions), it provides a basis for the formulation, adjustment, and improvement of AI4S in the next stage for China. [Method/Process] In this study, a total of 31 valid policy texts were collected through online surveys. And then this paper constructed a three-dimensional analysis framework of ‘structure-tool-effectiveness’, and applied BERTopic, content analysis method and PMC index model in order to conduct multi-dimensional mining and systematic analysis of policy documents from 7 countries (regions). [Result/Conclusion] Based on the future development of China’s AI4S policy, this study proposes that multiple stakeholders should be encouraged to participate collaboratively and the scope of policy themes should be enriched; policy toolboxes should be rationally selected to exert the dual push-pull effects of policies; and the effectiveness of policies should be tracked from multiple dimensions to promote the continuous increase of high-quality policies.

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