图书情报知识 ›› 2025, Vol. 42 ›› Issue (1): 70-77,88.doi: 10.13366/j.dik.2025.01.070

• 学术聚焦(1)·大模型与信息资源管理 • 上一篇    下一篇

大模型驱动科技创新评价若干问题的思考

张洋, 吴婷婷, 侯剑华   

  1. 中山大学信息管理学院,广州,510006
  • 出版日期:2025-01-10 发布日期:2025-03-19
  • 通讯作者: 侯剑华(ORCID: 0000-0001-7080-7131),博士,教授,研究方向:科学计量与科技评价、科学学、科技信息资源管理,Email: houjh5@mail.sysu.edu.cn。
  • 作者简介:张洋(ORCID: 0000-0002-6442-3593),博士,教授,研究方向:信息计量与科学评价,Email: zhyang2@mail.sysu.edu.cn;吴婷婷(ORCID: 0009-0009-5404-0773),博士研究生,研究方向:信息计量与科学评价,Email: wutt67@mail2.sysu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金重大项目“科研成果社会影响的评价体系与提升策略研究”(23&ZD226)的研究成果之一。

Reflections on Some Issues of Science and Technology Innovation Evaluation Driven by Large Models

ZHANG Yang, WU Tingting, HOU Jianhua   

  1. School of Information Management, Sun Yat-sen University, Guangzhou, 510006
  • Online:2025-01-10 Published:2025-03-19
  • Contact: Correspondence should be addressed to HOU Jianhua, Email: houjh5@mail.sysu.edu.cn, ORCID: 0000-0001-7080-7131
  • Supported by:
    This is an outcome of the Major Project "Evaluation System and Enhancement Strategy of Social Impact of Scientific Research Achievements"(23&ZD226)supported by National Social Science Foundation of China.

摘要: [目的/意义]大科学时代背景下,大模型驱动的科技创新评价范式正在发生深刻的变革。厘清大模型驱动的科技创新评价若干问题,有助于提升评价的实用价值和战略指导意义,为科技进步和社会发展提供强有力的支持。[研究设计/方法]基于科技创新评价演化历程和大模型驱动科技创新评价的主要特征,深度剖析大模型应用于科技创新评价的主要维度,在此基础上思考大模型驱动科技创新评价所面临的若干挑战和未来发展趋势。[结论/发现]大模型驱动的科技创新评价将成为新时期科技评价范式变革和进步的关键力量。大模型使得科技创新评价更加智能化、精细化和个性化,其与科学研究、技术开发、科技评价、科技管理等领域的融合发展将成为必然趋势。[创新/价值]剖析了大模型应用于科技创新评价的若干问题,为构建以智能化、精细化、系统化和个性化为核心,以可持续和负责任的评价为导向的科技创新评价体系提供参考和依据。

关键词: 科技创新评价, 大模型, 数智驱动

Abstract: [Purpose/Significance] In the era of big science, the evaluation paradigm for science and technology innovation driven by large models is undergoing a profound change. Clarifying a number of issues on large model-driven evaluation for science and technology innovation can enhance the practical value and strategic guidance of such evaluations and provide powerful support for scientific and technological advancement and social development. [Design/Methodology] Based on the evolution of the evaluation of science and technology innovation and the main features of large model-driven evaluation for science and technology innovation, this paper deeply analyzes the main dimensions of applying large models to evaluate science and technology innovation. Furthermore, it reflects on several challenges faced by large model-driven evaluations and explores future development trends. [Findings/Conclusion] The evaluation of science and technology innovation driven by large models will become a key force for the transformation and progress of the new era's science and technology evaluation paradigm. Large models make science and technology innovation evaluation more intelligent, refined and personalized. The integrated development of large models with scientific research, technology development, science and technology evaluation, science and technology management will become an inevitable trend. [Originality/Value] A number of issues on the application of large models to science and technology innovation evaluation are analyzed to provide a reference and basis for the construction of an evaluation system for science and technology innovation with intelligence, refinement, systematization and personalization as the core and sustainability and responsibility as the orientation.

Keywords: Science and technology innovation evaluation, Large models, Digital Intelligence-drive