期刊文献+

大数据时代安全情报人才培养的思考 被引量:3

Peflection on the Cultivation of Safety&Security Intelligence Talents in the Era of Big Data
下载PDF
导出
摘要 [目的/意义]安全情报人才培养旨在储备安全情报专业人才,这直接关系着国家、社会以及各类社会组织的安全管理工作。在大数据时代,大数据给安全情报人才培养提出新要求。因此,大数据时代的安全情报人才培养研究具有重要的理论和现实意义。[方法/过程]运用文献分析和理论思辨方法,在安全情报人才培养理论基础之上,分析大数据背景下安全情报人才培养面临的新要求,并构建大数据时代安全情报人才能力素养体系。基于此,提出大数据时代安全情报人才培养模式,并针对模式进行详细分析与论述。[结果/结论]研究发现,大数据时代,安全情报人才培养面临着目标升级、统一标准、需求宽泛、法律建设、能力提升、环境适应、教育改革等诸多新的要求;与此同时,安全情报人才的知识、技能、意识、文化道德和执行力等素养水平都亟需提升。此外,大数据时代安全情报人才培养模式从教育体系、法规保障、智库建设、文化氛围以及人才考核等方面进行改革创新,以培养高质量的安全情报专业人才。 [Purpose/Significance]The safety&security intelligence(SI)talents training aims to reserve SI professionals,which is directly related to the safety&security management(SM)of the country,society and various social organizations.In the era of big data,big data puts forward new requirements for the training of SI talents.Therefore,the research on the training of SI talents in the era of big data has important theoretical and practical significance.[Method/Process]By the methods of literature analysis and theoretical speculation,and based on the theory of SI talents training,this paper analyzed the new requirements of training SI talents under the background of big data,and a capacity literacy system of SI talents in the era of big data was bulit.On this basis,the SI talents training mode in big data was put forward,and the model was analyzed and discussed in detail.[Result/Conclusion]The results showed that in the era of big data,the training of SI talents was faced with many new requirements,such as goal upgrading,unified standards,broad needs,legal construction,capacity improvement,environmental adaption,education reform,etc.At the same time,the level of knowledge,skills,consciousness,culture,morality and executive ability of SI talents was in urgent need of improvement.Moreover,The training mode of SI talents in the era of big data was reformed and innovated in terms of education system,legal protection,think tank construction,cultural atmosphere and talent assessment,so as to cultivate high-quality SI talents.
作者 吴林 王秉 吴超 Wu Lin;Wang Bing;Wu Chao(School of Resource&Safety Engineering,Central South University,Changsha 410083,China;Safety&Security Theory Innovation and Promotion Center(STIPC),Central South University,Changsha 410083,China)
出处 《现代情报》 CSSCI 2020年第10期113-121,共9页 Journal of Modern Information
基金 国家自然科学基金重点项目“安全科学原理研究”(项目编号:51534008) 教育部人文社会科学研究青年基金项目“大数据驱动下情报主导的智慧安全管理方法及其实证研究”(项目编号:20YJCZH149) 中南大学教育教学改革项目“基于安全学科交叉综合属性的一流安全专业建设模式研究”(项目编号:2020jy014-3)。
关键词 大数据 安全情报 人才培养 安全教育 安全管理 安全科学 big data safety&security intelligence(SI) talents training safety education safety&security management(SM) safety&security science
  • 相关文献

参考文献19

二级参考文献204

共引文献942

同被引文献43

引证文献3

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部