摘要
[目的/意义]我国应急管理部的组建预示着国内应急管理人才培养和能力建设进入新时代。探讨大数据时代突发事件应急管理情报分析人才培养旨在促进中国突发事件应对能力建设。[方法/过程]通过文献调研和网络调查,分析国内当前应急管理情报分析人才培养存在的问题与不足,提出相应建议。[结果/结论]发现随着大数据时代来临,国内突发事件应急管理与情报分析工作与人才需求日益旺盛、要求不断提高,国家应出台应急管理情报人才相关的法律,建立和健全相应的制度,制定统一的培养标准,规范课程体系,加强师资与专业方向建设,增加交流与合作的协作培养模式,进行培养效果评估等,以培养出一批应对突发事件的情报分析专业人才队伍,从而提升应急管理效率和水平。
[Purpose/significance] The establishment of Ministry of Emergency Management of the People's Republic of China marks the entering of domestic emergency management talents training and capacity building into a new era.Discussion on the training of emergency management information analyst for emergency management in the era of large data aims to promote the capacity building of emergency response.[Method/process] Through literature survey and network investigation,the problems and shortcomings of the current emergency management Information analysis personnel training are analyzed and the corresponding suggestions are put forward.[Result/conclusion] It is found that with the advent of the big data age,the domestic emergency management information analysis work and the demand for talent are increasing,and the requirements are constantly improved.The relevant laws of emergency management information talents should be promulgated,setting up and perfecting the corresponding system,to set up a unified training standard,standardize the curriculum system,strengthen the construction of teachers and teaching materials,increase the cooperative training mode of communication and cooperation,and carries out the evaluation of the training effect.In order to improve the efficiency and level of emergency management,a team of professionals to deal with emergencies should be trained.
作者
郭春侠
徐青梅
储节旺
Guo Chunxia;Xu Qingmei;Chu Jiewang(School of Management,Anhui University,Hefei 230601)
出处
《图书情报工作》
CSSCI
北大核心
2019年第5期14-22,共9页
Library and Information Service
基金
国家社会科学基金一般项目“大数据环境下突发事件应急管理情报能力建设研究”(项目编号:16BTQ066)研究成果之一
关键词
突发事件应急管理
应急情报分析人才
应急情报分析师
人才培养
emergency management
emergency information analysis talents
emergency information analyst
talents training