摘要
[目的/意义]适应当今社会科技创新活动复杂性、交叉性、数据量大等特征,支撑科技智库专家开放研究和管理者科学决策。[方法 /过程]设计构建数据、知识、应用、决策和反馈的5层体系结构决策平台模型,并集成数据挖掘、机器学习、知识发现、协同研究、决策沟通等功能的平台。[结果 /结论 ]满足智库专家知识深度计算和发现需求、管理者决策过程公开和决策科学性需求、创新主体参与需求,尤其创新性构建了正向决策流程和逆向反馈流程的闭环工作流,使智库专家、决策者和科技创新者等多方主体在平台上良性互动,形成协同协作的决策共同体,达到提高科技创新决策的科学性和有效性的目的。
[Purpose/significance]In order to adapt to the complexity, intersection and large amount of data of scientific and technological innovation activities in today’s society, it is important to support the open research of experts in science and technology think tanks and the scientific decision-making of managers. [Method/process] This paper designs and constructs a five-layer architecture decision platform model of data, knowledge,application, decision and feedback, and then, establishes a platform integrating data mining, machine learning,knowledge discovery, collaborative research, decision communication and other functions. [Result/conclusion]The platform can meet think tank experts’ needs on knowledge deep calculation and discovery, the openness and scientificity in decision-making process and participation of innovators. In particular, it innovatively constructs a closed-loop workflow of forward decision-making process and reverse feedback process, which enables think tank experts, decision makers and science and technology innovators to interact on the platform, form a collaborative decision-making community, and achieve the goal of improving the scientificity and effectiveness of science and technology innovation decision-making.
作者
于升峰
肖强
Yu Shengfeng;Xiao Qiang(Qingdao Institute of S&T Information,Qingdao 266000)
出处
《智库理论与实践》
2020年第1期22-27,共6页
Think Tank:Theory & Practice
基金
中央引导地方科技发展专项计划“青岛市科技智库公共服务平台”(项目编号:18-1-3-1-zyyd-gh)研究成果之一
关键词
科技智库
决策
平台
构建
S&T think tank
decision making
platform
construct
