摘要
面对未来发展的不确定性,以及技术发展在学科建设及其研究范式的高渗透性,高校尤其是以人文社会科学见长的高校更应该主动迎接并积极运用数据密集型科学发现的优势,充分考虑数据驱动下的知识发现对于传统社会科学学科建制及其研究范式的重大影响、冲击乃至颠覆作用。一方面,数据密集型科学的发现及其在社会科学领域的渗透与应用,会带来数据密集型科学与社会科学的交叉融合发展,推动社会科学的学科建设方向由传统走向现代、由经验转向科学;另一方面,借助数据密集型科学发现基于数据驱动的研究优势能够有效提升社会科学研究的速度、效率和效果,进一步推动社会科学研究范式的转型,且人文主义与科学主义相结合的混合研究将成为社会科学研究的主流范式。以耶鲁大学为研究个案,着重分析其发展数据密集型社会科学的愿景目标和实践举措。研究发现,耶鲁大学通过发展并应用数据密集型社会科学的方法,拟实现借助数据密集型科学的强大力量不断赋能并推动社会科学研究范式转型、通过建立社会科学研究社区促进跨学科研究与协作、有选择地改善基础服务并强化制度保障与治理支持3个维度的愿景目标。为了实现这些愿景目标,耶鲁大学通过创建数据密集型社会科学中心、了解其他大学和行业卓越机构的发展趋势、在大学层面建立委员会等实践举措,实现重塑组织结构、调整组织行为和促进跨学科研究的整合效应;通过加强基础数据密集型课程群建设、增强数据密集型社会科学发展的多样性和包容性,以及教师年度会议和委员会等制度保障和治理支持,不断优化数据密集型社会科学的人才培养目标,推动课程教学的创新发展和科学评估。由此,耶鲁大学不仅推动了数据密集型科学与社会科学的知识交叉融合发展,还加快了数据�
Faced with the uncertainty of future development and the high permeability of technological development in disciplinary construction and research paradigms,universities,especially those specializing in humanities and social sciences,should actively embrace and utilize the advantages of data-intensive scientific discovery,fully considering the significant influence,impact,and even subversive effect of data-driven knowledge discovery on the traditional social science disciplinary structure and research paradigms.The discovery of data-intensive science and its penetration and application in the field of social sciences will,on the one hand,bring about the cross integration and development of data-intensive science and social sciences,promoting the disciplinary construction direction of social sciences from traditional to modern and from experience to science;on the other hand,the advantage of data-driven research based on data intensive scientific discovery can effectively improve the speed,efficiency and effect of social science research,further promote the transformation of social science research paradigm,and the hybrid research combining humanism and scientism will become the mainstream paradigm of social science research.Taking Yale University as a research case,the study focuses on analyzing its vision,goals,and practical measures for developing data-intensive social sciences.Research has found that Yale University through the development and application of data-intensive social sciences,aims to continuously empower and promote the transformation of social science research paradigms through the powerful power of data-intensive sciences,and promote interdisciplinary research and collaboration through the establishment of social science research communities.The vision goal is to selectively improve basic services and strengthen institutional guarantees and governance support in three dimensions.In order to achieve the vision goals,Yale University has achieved the integration effect of reshaping the organizationa
作者
张海生
公钦正
ZHANG Haisheng;GONG Qinzheng(Journal of Chongqing University of Arts and Sciences,Chongqing 402160,China;School of Education,Renmin University of China,Beijing 100872,China)
出处
《重庆高教研究》
北大核心
2023年第5期62-73,共12页
Chongqing Higher Education Research
基金
教育部人文社会科学研究青年基金项目“人工智能、制度嵌入与大学治理效能提升研究”(22YJC880107)
重庆市高等教育学会高等教育科学研究课题“人工智能赋能大学治理变革研究”(CQGJ21B080)。
关键词
数据密集型社会科学
学科建设
科学研究范式
跨学科研究
data-intensive social sciences
discipline construction
scientific research paradigm
interdisciplinary study
