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“情景—结构—要素” 视角下复杂灾害治理的情报协同体重构

Translated title of the contribution: Intelligence Collaboration System Reconstruction for Complex Disaster Governance under the Perspective of “Scenario-Structure-Element”
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

Abstract

[ Purpose / significance] The complexity of disasters has posed new requirements for emergency governance. It is an inevitable trend to strengthen the intelligence collaboration of multiple subjects. To address insufficient scenario building of complex disasters, the relatively loose and solidified structure of the intelligence collaborative network, and the lack of integrated layout of intelligence collaboration elements, this paper proposes the concept of an intelligence collaboration system for complex disaster governance. This system is reconstructed considering the scenario, structure, and element. [ Method / process] First, ontology is used to build complex disaster scenario based on scenario cognition, and its instantiation is described. Then, the structure optimization method of the intelligence collaborative network is illustrated in terms of the mining and identification of intelligence collaboration subjects and the cohesion enhancement of intelligence collaborative association between subjects. Finally, the strengthening paths of intelligence collaboration elements, that is, data, decision, and process, are discussed. The intelligence collaboration system is divided into three key components: data sharing, decision integration, and process resilience systems. [ Result / conclusion] This paper provides a top-level design framework for intelligence collaboration of complex disaster governance, which will help governments improve their emergency intelligence capability through digital transformation.

Translated title of the contributionIntelligence Collaboration System Reconstruction for Complex Disaster Governance under the Perspective of “Scenario-Structure-Element”
Original languageChinese (Traditional)
Pages (from-to)154-165
Number of pages12
JournalInformation studies: Theory and Application
Volume47
Issue number6
DOIs
StatePublished - Jun 2024
Externally publishedYes

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