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中文摘要: 大数据资源的迅速累积与分析技术的快速发展不仅拓展智库研究范畴,促使智库研究更加重视数据洞察,同时对智库建设质量与创新水平提出更高要求。面对智库建设向现代化、创新化和科学化转变的发展需求,文章从信息链的角度阐释数据驱动智库研究变革,剖析数据变革环境下智库话语逻辑重塑的迫切需求,探讨数据驱动智库研究的多元互证体系构建方案,进而从重视相关与因果关系互补、融合技术理性与人文价值、引入三元世界分析视角、聚焦长知识链支撑、建构智库工程化服务模式等方面提出当前环境下智库建设的优化建议。
中文关键词: 智库研究,数据驱动,话语逻辑,多元互证,信息链
Abstract:The rapid accumulation of data resources and the development of analysis technologies have expanded the scope of think tank
research, and prompted think tanks to pay more attention to data intelligence. Meanwhile, higher requirements are put forward on the quality
and innovation of the think tank. Facing the development needs of think tanks, i.e., modernization, innovation, and conscientization, this paper
demonstrates the change of data-driven think tank researches from the perspective of the information chain. The paper analyzes the urgent need
to reshape the discursive logic of the think tank, and discusses the construction scheme of triangulation for data-driven think tank research.
Finally, several suggestions for optimizing the construction of think tanks are put forward, such as paying attention to the complementarity of
correlation and causality, integrating the technical rationality and humanistic values, analyzing from the perspective of cyber-physical-human
ternary space, seeking support from multidisciplinary knowledge, and constructing the engineering services of the think tank.
文章编号: 中图分类号: 文献标志码:
基金项目:
作者 | 单位 |
孙建军 裴雷 马亚雪 李阳 |
Author Name | Affiliation |
引用文本:
孙建军 裴雷 马亚雪 李阳.数据驱动下智库话语逻辑及互证体系思考[J].中国科学院院刊,,():.
.Thoughts on Data-driven Discursive Logic and Triangulation of Think Tank[J].Bulletin of Chinese Academy of Sciences,,():.
孙建军 裴雷 马亚雪 李阳.数据驱动下智库话语逻辑及互证体系思考[J].中国科学院院刊,,():.
.Thoughts on Data-driven Discursive Logic and Triangulation of Think Tank[J].Bulletin of Chinese Academy of Sciences,,():.