信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (2): 4-10.doi: 10.13365/j.jirm.2026.02.004

• 观点论文 •    下一篇

智能创新评价工程:数智时代科研创新评价新范式

陆伟1,2 黄永1,2   

  1. 1.武汉大学信息管理学院,武汉,430072; 
    2.武汉大学智能与创新治理研究所,武汉,43007
  • 出版日期:2026-03-26 发布日期:2026-06-04
  • 作者简介:陆伟, 教授, 博士生导师, 研究方向为信息检索、数据智能、AI治理、人机协同和创新评价等;黄永(通讯作者), 副教授, 博士生导师, 研究方向为科技文本挖掘、科学计量、创新评价等,Email: yonghuang1991@whu.edu.cn。
  • 基金资助:
    本文系国家自然科学基金重点项目“ 数智赋能的科技信息资源与知识管理理论变革”(72234005)的研究成果之一

Intelligent Innovation Evaluation Engineering: A New Paradigm for Scientific Research Innovation Evaluation in the Digital Intelligence Era

Lu Wei1,2 Huang Yong1,2   

  1. 1.School of Information Management, Wuhan University, Wuhan, 430072; 
    2.Institute of Intelligence and Innovation Governance, Wuhan University, Wuhan, 430072
  • Online:2026-03-26 Published:2026-06-04
  • About author:Lu Wei, professor, doctoral supervisor, research interests including information retrieval, data intelligence, AI governance, human-computer collaboration, and innovation evaluation, etc.; Huang Yong (corresponding author), associate professor, doctoral supervisor, research interests including scientific text mining, scientometrics, innovation evaluation, etc., Email: yonghuang1991@whu.edu.cn.
  • Supported by:
    This work is supported by the Key Program of the National Natural Science Foundation of China, titled "Theoretical Transformation of Science and Technology Information Resources and Knowledge Management Empowered by Digital Intelligence"(72234005).

摘要: 数智时代背景下,科研创新评价的核心问题已从指标与方法的局部改进,演变为评价体系难以稳定运行、难以嵌入科研治理实践的结构性困境。本研究提出“智能创新评价工程”新范式,从工程化系统视角重新组织评价活动。该范式以可解释人工智能为技术支撑,以开放共享为制度基础,以模块化工程集成为实现路径,构建数据集成与共享服务、评价指标动态管理、科研管理流程建模、指标与流程映射机制、智能化工具构建等五个协同模块。其目标是将科研创新评价从分散、封闭的工具式研究,升级为集成、开放、可持续运行的社会技术系统,以提升评价体系的可复现性、可解释性与可嵌入性,推动评价深度融入科研治理全流程,从而为数智时代的科研治理现代化提供系统化解决方案。

关键词: 科研创新评价, 智能创新评价工程, 工程化范式, 开放数据平台, 科研治理

Abstract: In the context of the digital intelligence era, the core challenge of scientific research innovation evaluation has evolved from partial improvements in metrics and methods to a structural dilemma where evaluation systems fail to operate stably and cannot be embedded in scientific research governance practices. This study proposes a new paradigm termed "Intelligent Innovation Evaluation Engineering", which reconstructs the organizational logic of evaluation activities from a systems engineering perspective. Supported by explainable artificial intelligence, grounded in open sharing as an institutional foundation, and realized through modular engineering integration, this paradigm comprises five synergistic modules: data integration and shared services, dynamic management of evaluation indicators, modeling of scientific research management processes, mapping mechanisms between indicators and processes, and intelligent tool construction. The objective is to upgrade scientific research innovation evaluation from fragmented and closed tool-based research to an integrated, open, and sustainable socio-technical system, thereby enhancing the reproducibility, interpretability, and embeddability of evaluation systems, facilitating deep integration of evaluation into the entire process of scientific research governance, and providing a systematic solution for modernization of scientific research governance in the digital intelligence era.

Key words: Research innovation evaluation, Intelligent innovation evaluation engineering, Engineering paradigm, Open data platform, Research governance

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