数智驱动的科学学:国内理论科学学研究综述  

Data-driven science of science:Review on research of domestic theoretical science of science(2017-2023)

作　　者：郑碧丽 侯剑华 ZHENG Bi-li;HOU Jian-hua(School of Information Management,Sun Yat-sen University,Guangzhou 510006,China)

机构地区：[1]中山大学信息管理学院,广东广州510006

出　　处：《科学学研究》2025年第3期514-522,共9页Studies in Science of Science

基　　金：中国科协创新战略研究院老科学家学术成长资料采集工程项目“张碧晖学术成长资料采集”(CJGC2022-F-Z-XH12);复旦大学国家智能评价与治理实验基地(以下简称“实验基地”)与科睿唯安信息服务(北京)有限公司共同设立的创新评价开放基金项目“面向新文科的科研人员知识创造能力评价方法研究”(CXPJ2024002)。

摘　　要：当前数智化时代,数据密集型的学科范式促进了数据和计算驱动的科学学研究的兴起。科学学的大数据越来越丰富,加之强大的数据分析技术,为科学学带来了前所未有的发展机遇和挑战。基于对国内近五年在科学学元研究和理论科学学方面的文献进行综述,探讨科学学的最新研究进展。研究发现,当前国内科学学元研究主要集中在科学学研究范式的变革以及科学学的学科建设与发展等主题领域。理论科学学研究集中在科学发展规律、科学知识体系、科学活动等方面。面对新的发展机遇,我国科学学研究亟待解决的现实问题主要包括学科理论体系不够健全、大数据基础设施建设不够完善和研究范式不够成熟等方面。随着数智化时代的到来,我国科学学研究需回归贝尔纳科学学传统,并实现研究范式的新突破。科学学发展应从学科导向转变为问题和需求导向,不断推动社会和经济的高质量发展。In the current era of digital intelligence,the data-intensive disciplinary paradigm has facilitated the rise of data-and computation-driven research in Science of Science(SoS).The increasing abundance of big data in sciences and powerful data analytics has brought unprecedented development opportunities and challenges to SoS.Based on a review of the domestic literature in the last five years in meta-research on SoS and theoretical SoS,the latest research progress in SoS is explored.It is found that the current domestic meta-research on SoS mainly focuses on the change of the research paradigm as well as the construction and development of the disciplines of SoS.The research paradigm of SoS in China goes through four stages:speculation,mathematical statistics,scientific knowledge mapping,and SoS under digital intelligence.In terms of construction and development of the disciplines,the discipline of SoS is now in the second spring,after the first spring,a cold winter,and the renaissance.Theoretical sciences research focuses on the law of scientific development,scientists'careers,and the mode of scientific collaboration.For scientific development,the recombination and integration of knowledge units is one of the key drivers of scientific development and scientific innovation.The flourishing of scientific development and the emergence of new large-scale scientific achievements are necessary conditions.Domestic research on scientific collaboration can be divided into three areas:collaboration behavior,collaboration influencing factors,and collaboration network structure and evolution.When it comes to collaboration behavior,Chinese scientists are more cooperative-centric than foreign scientists.In terms of collaboration influencing factors,scientific collaboration has differences in individual attributes(gender,age,culture/ethnicity),address attributes(institution,geography,international collaboration),professional attributes(subject area,knowledge background),and relational attributes(collaboration members,collaborati

关 键 词：科学学 元研究 理论科学学 研究综述 

分 类 号：G301[文化科学]