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元人种志视角下人工智能驱动科学研究(AI4S)的多维路径分析

蒲云强 唐川 邓航宇 王婉婧

情报杂志2025,Vol.44Issue(7):181-191,207,12.
情报杂志2025,Vol.44Issue(7):181-191,207,12.DOI:10.3969/j.issn.1002-1965.2025.07.022

元人种志视角下人工智能驱动科学研究(AI4S)的多维路径分析

Meta-Ethnographic Perspectives on the Multidimensional Paths of AI-Driven Scientific Research(AI4S)

蒲云强 1唐川 2邓航宇 1王婉婧2

作者信息

  • 1. 中国科学院成都文献情报中心 成都 610299
  • 2. 中国科学院成都文献情报中心 成都 610299||中国科学院大学经济与管理学院信息资源管理系 北京 100190
  • 折叠

摘要

Abstract

[Research purpose]This study systematically analyzes the pathways and models through which artificial intelligence technolo-gies empower scientific research,aiming to elucidate their critical role in enhancing research efficiency and driving disciplinary innovation.It seeks to provide a theoretical foundation and a practical reference for the intelligent transformation of scientific research.[Research method]The study integrates multidisciplinary data,including policy documents,academic papers,and news updates,to construct a multi-domain research information repository.Based on a technology-domain co-occurrence analysis framework,it identifies and quanti-fies the relationships between AI and scientific research fields.Employing a Meta-ethnographic approach,the study extracts core concepts and key elements to examine the AI-enabled scenarios,methodologies,and pathways in research.Additionally,by combining data inte-gration and dynamic characteristic analysis,it explores domain-specific differences and developmental patterns of AI-driven research inno-vation through case studies of representative domains.[Research result/conclusion]The findings indicate that emerging AI technologies,such as large language models,have driven transformative advancements in scenarios like semantic understanding,multimodal information processing,logical reasoning,and complex data analysis,thereby accelerating the intelligent progression of scientific research.These ad-vancements stem from the synergistic effects of breakthrough research outcomes,disciplinary attributes,and policy support,which enhance clustering effect in the relevant fields.The study underscores AI's vast potential for cross-disciplinary applications and offers significant in-sights into the transformation of research paradigms.

关键词

AI4S/人工智能/科学研究/路径分析/元人种志/多维分析

Key words

AI4S/artificial intelligence/scientific research/pathway analysis/Meta-ethnography/multidimensional analysis

分类

社会科学

引用本文复制引用

蒲云强,唐川,邓航宇,王婉婧..元人种志视角下人工智能驱动科学研究(AI4S)的多维路径分析[J].情报杂志,2025,44(7):181-191,207,12.

基金项目

中国科学院文献情报能力建设专项项目"科技领域态势分析与服务"(编号:E4290425) (编号:E4290425)

中国科学院成都文献情报中心创新基金重点项目"人工智能增强的科技情报平台数据及模型建设"(编号:E5Z0000101) (编号:E5Z0000101)

中国科学院"西部青年学者"项目"成渝双城经济圈人工智能科技协同创新研究"(编号:E2C00005) (编号:E2C00005)

信号盲处理全国重点实验室基金"信号盲处理领域前沿动态和信息管理研究"(编号:E5Z0000203)研究成果. (编号:E5Z0000203)

情报杂志

OA北大核心

1002-1965

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