理论探讨

面向重大疫情防控的应急情报生成机理及效能提升策略研究*——基于融知发酵模型

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  • 1天津师范大学政治与行政学院 天津 300387;  2江苏省科学技术情报研究所 南京 210042; 3江苏省科学技术发展战略研究院 南京 210042 天津师范大学政治与行政学院 天津 300387
胡峰,男,1982年生,天津师范大学政治与行政学院博士研究生,江苏省科学技术情报研究所、江苏省科学技术发展战略研究院副研究员。 温志强,男,1971年生,天津师范大学政治与行政学院教授,博士生导师。

网络出版日期: 2021-07-19

基金资助

*本文系2020年度江苏省社科应用研究精品工程课题“面向重大疫情防控的应急情报体系构建研究”(项目编号:20SYC-118)的研究成果之一。

Research on the Emergency Intelligence Generation Mechanism and Efficiency Improvement Strategyfor the Prevention and Control of Major Epidemics: Based on the Knowledge Fermentation Model

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  • 1College of Politics and Administration, Tianjin Normal University, Tianjin, 300387; 2Jiangsu Institute of Science and Technology Information, Nanjing, 210042 ; 3Jiangsu Academy of Science and Technology for Development, Nanjing, 210042 College of Politics and Administration, Tianjin Normal University, Tianjin, 300387

Online published: 2021-07-19

摘要

摘要:[目的/意义]应急情报是决定重大疫情防控成败关键的保障性资源,其生成和优化研究对重大疫情防控具有重大的现实意义。[方法/过程]以融知发酵模型为理论基础,基于生物发酵与情报生成相似性的类比逻辑,分别从微观、中观和宏观三个维度解构重大疫情防控工作中应急情报发酵的要素机理、流程机理和功能机理,进而构建面向重大疫情防控的应急情报发酵模型。在此基础上,提出应急情报效能提升策略,以实现面向重大疫情防控过程中应急管理体系和应急管理能力的现代化。[结果/结论]重大疫情防控应急情报发酵主要包括七大要素,在酝酿、进化、高峰、衰变的发酵流程演变中,实现先导感知、决策支撑、综合治理的功能。

本文引用格式

胡峰 温志强 .

面向重大疫情防控的应急情报生成机理及效能提升策略研究*——基于融知发酵模型

[J]. 情报资料工作, 2021 , 42(4) : 38 -47 . DOI: DOI:10.12154/j.qbzlgz.2021.04.005

Abstract

Abstract: [Purpose/significance] Emergency intelligence is a vital guarantee resource that determines the success orfailure of major epidemic prevention and control. Its generation and optimization research have important practical significance for major epidemic prevention and control. [Method/process] Based on the theoretical basis of knowledgefermentation model, and the analogy logic of the similarity between biological fermentation and intelligence generation,the paper analyzes the mechanisms of elements, process and functions of emergency intelligence fermentation in theprevention and control of major epidemic from micro, meso and macro dimensions. And then we build an emergency intelligence fermentation model for the prevention and control of major epidemic. On this basis, specific emergency intelligence efficiency enhancement strategies are proposed to realize the modernization of emergency management systemsand management capabilities in the prevention and control of major epidemic. [Result/conclusion] The emergency intelligence fermentation for major epidemic prevention and control mainly includes seven elements. In the fermentationprocess evolution of brewing, evolution, peak, and decay, the functions of pilot perception, decision support, and comprehensive management are realized.

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