摘要
公共危机事件治理的研究价值不仅在于处理单个公共危机事件,还在于不断积累经验,促进治理系统的良性发展。因此,建立基于自组织理论的公共危机事件治理的协调与评价机制,有利于为治理公共危机事件提供一套普适性的思路和方法。在实际操作中,公共危机事件各指标的风险评估依赖于详实的数据支撑,但数据的数量和质量受限于当前数据收集与处理的局限性。随着大数据与人工智能技术的飞速发展,有望通过更加智能化的数据监测与分析手段,精准评估公共危机事件的潜在风险与影响范围,助力高效防范和化解公共危机事件,构建安全、稳定、和谐的社会生态。
The research value of public crisis event governance is not only in dealing with individual crises but also in continuously accumulating experience to promote the healthy development of the governance system.Therefore,establishing a coordination and evaluation mechanism for public crisis event governance based on self-organization theory is beneficial for providing a universal set of ideas and methods for managing such events.In practical operations,the risk assessment of various indicators of public crisis events relies on solid data support,but the quantity and quality of the data are limited by current limitations in data collection and processing.With the rapid development of big data and artificial intelligence technologies,we can expect more intelligent data monitoring and analysis methods to precisely assess the potential risks and impact scope of public crisis events,contributing to efficient prevention and resolution of such events,and building a safe,stable,and harmonious social ecosystem.
出处
《四川警察学院学报》
2024年第4期84-96,共13页
Journal of Sichuan Police College
关键词
公共危机事件治理
自组织理论
评价指标
评价机制
public crisis event governance
self-organization theory
evaluation indicators
evaluation mechanism
作者简介
马永坤,男,河南商丘人,重庆警察学院基础部副教授,经济学博士,主要从事公安管理、社会治理研究。
