智库理论与实践2024，Vol.9Issue(1)：52-63,12.DOI:10.19318/j.cnki.issn.2096-1634.2024.01.06
智库视角下的智能决策研究
Research on Intelligent Decision-making from the perspective of think tanks:Based on the MIPS Method
摘要
Abstract
[Purpose/significance]The decision-making paradigm is gradually transforming from informati-zation to intelligent upgrading.In order to enable intelligent decision-making to better empower think tank prob-lem research,this paper explores the coupling mechanism,impact status,and related policies of intelligent deci-sion-making and think tank problem research,and puts forward specific countermeasures and suggestions in order to promote the high-quality development of our country's think tanks.[Method/process]This paper adopts the MIPS(Mechanism analysis-Impact analysis-Policy analysis-Solution)logical hierarchy method as its conceptual framework.At the mechanism analysis level,this paper introduces decision intelligence technology and concepts,delving into the intricate coupling mechanisms between decision intelligence and think tank research,by analyz-ing the research field,research methods,and practical tools of think tank problems.At the level of impact analysis,this paper scrutinizes the effects of decision intelligence on think tank development from three perspectives:aca-demic research,discipline development,and institutional empowerment.At the level of policy analysis,this paper categorizes and compares representative policies related to decision making both domestically and internationally.[Result/conclusion]Combining the findings from the research mentioned above,suggestions are put forward from four perspectives,including emphasizing the development of new technologies,paying attention to scientific and technological ethics and intellectual property issues,promoting think tank talent cultivation in the direction of de-cision intelligence,and strengthening institutional policy guarantees.关键词
智库/智能决策/MIPS逻辑层次法Key words
think tank/intelligent decision-making/MIPS分类
社会科学引用本文复制引用
刘怡君,张云睿,迟钰雪..智库视角下的智能决策研究[J].智库理论与实践,2024,9(1):52-63,12.基金项目
本文系国家自然科学基金面上项目"舆情大数据视角下的网络社会治理'时、度、效'研究"(项目编号:72074205)、国家自然科学基金青年项目"数据与知识驱动的重大突发事件舆情风险传导机理和防控策略研究"(项目编号:72204283)、国家自然科学基金重大项目"数字化社会风险感知与疏导的智能方法"(项目编号:T2293722)研究成果之一. （项目编号:72074205）
