摘要
大数据思维可以概括为数据采集层面的"全样本思维""关注效率思维",数据分析层面的"相关性思维""价值性思维",数据使用层面的"数据核心思维""共享性思维"。大数据思维在突发公共危机治理中有显著效能优势,"新冠肺炎"疫情防控为此提供了实践依据。大数据思维下突发公共危机治理机制优化,可以从提高危机预警机制的灵敏度、促进危机监控机制的精细化、加强危机控制机制的协同化入手,同时促进突发公共危机治理的范式转化、力量整合和信息共享,建立沟通、信任和协调机制。
Big data thinking can be summarized as "full-sample thinking" and "efficiency-focused thinking" on data acquisition,"correlation thinking" and "value-mining thinking" on data analysis,"data-centric thinking" and "sharing thinking" on data application.Big data has significant advantages in public emergency governance,which has been verified by the prevention and control of novel coronavirus pneumonia(NCP).Under big data thinking,the governance mechanism for public emergency can be optimized by raising the sensitivity of the early-warning mechanism,improving the fineness of the monitoring mechanism,and strengthening the coordination of the control mechanism.At the same time,the governance paradigm can be updated,the forces can be integrated,the information can be shared,and the communication,trust and coordination mechanisms can be established.
出处
《社会主义研究》
CSSCI
北大核心
2021年第6期117-123,共7页
Socialism Studies
基金
2017年度国家社会科学基金一般项目“网络道德生活中的群体极化风险及防控研究”(17BKS118)。
关键词
大数据思维
突发公共危机
治理机制
Big Data Thinking
Public Emergenc
Governance Mechanism
