图书情报知识 ›› 2023, Vol. 40 ›› Issue (4): 92-98.doi: 10.13366/j.dik.2023.04.092

• 图书、文献与交流 • 上一篇    下一篇

基于社会化推荐的哲学社会科学研究项目评审机制研究

史尚元1, 邱均平2   

  1. 1.武汉大学信息管理学院,武汉,430072;
    2.杭州电子科技大学管理学院,杭州,310018
  • 出版日期:2023-07-10 发布日期:2023-08-16
  • 通讯作者: 邱均平(ORCID:0000-0003-4008-3042),学士,教授,研究方向:知识网络与信息计量,Email:case.hdu@outlook.com。
  • 作者简介:史尚元(ORCID:0009-0006-0618-5220),博士研究生,研究方向:知识网络与信息计量,Email:xmcx_129@163.com。

The Review Mechanism of Philosophical and Social Sciences Research Projects Based on Social Recommendation

SHI Shangyuan1, QIU Junping2   

  1. 1. School of Information Management, Wuhan University, Wuhan, 430072;
    2. Schoolof Management, Hangzhou Dianzi University, Hangzhou, 310018
  • Online:2023-07-10 Published:2023-08-16
  • Contact: Correspondence should be addressed to QIU Junping, Email:case.hdu@outlook.com, ORCID: 0000-0003-4008-3042

摘要: [目的/意义]聚焦目前国内哲学社会科学项目的评审流程和关键环节,在分析其短板的基础上,构建基于社会化推荐的哲学社会科学研究项目评审机制,力求提升哲学社会科学项目评审的精准度和客观性,完善项目评审制度。[研究设计/方法]梳理了国内哲学社会科学项目评审的流程环节和短板,总结了社会化推荐嵌入哲学社会科学研究项目评审的优势;立足项目功能定位和评审目标,提出了基于社会化推荐的哲学社会科学研究项目评审机制框架。[结论/发现]科学合理地使用社会化数据能够及时更新筛选评审专家;在申请项目分组、专家遴选环节嵌入用户画像和推荐算法等社会化推荐技术,能够提升哲学社会科学评审公平性和准确性。[创新/价值]为优化哲学社会科学项目评审机制,提高项目评审效率、公平性和公信力提供了新思路。

关键词: 社会化推荐, 项目评审机制, 专家遴选

Abstract: [Purpose/Significance] This study focuses on the review process and key aspects of current domestic philosophical and social science projects, and on the basis of analyzing their shortcomings, constructs a social recommendation-based review mechanism for philosophical and social science research projects, seeks to improve the accuracy and objectivity of project evaluation, and improve the design of such project evaluation system. [Design/Methodology] This research paper analyzes the process segments and shortcomings of domestic philosophical and social science project evaluation, and summarizes the advantages of embedding social recommendation in the review of philosophical and social science research projects; based on the functional positioning and evaluation objectives of such projects, we propose a framework for the review mechanism of social recommendation-based philosophical and social science research projects. [Findings/Conclusion] The measures for improvement designs to enhance the fairness and accuracy of philosophical and social science projects' peer review include: reasonably and scientifically using of social data for timely update and screening of review experts and embedding social recommendation application technologies such as user portraits and recommendation algorithms in the processes of project grouping and expert selection. [Originality/Value] This paper provides new ideas for optimizing the review mechanism of philosophical and social science projects and improving the efficiency, fairness and credibility of project evaluation.

Key words: Social recommendation, Project review mechanism, Expert selection