情报学与情报工作

新技术背景下我国情报工作高质量发展的战略思考*

  • 张一涵 袁勤俭
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  • 1.南京邮电大学管理学院 
    2.南京大学信息管理学院 
    3.南京邮电大学信息产业融合创新与应急管理研究中心
张一涵,女,南京邮电大学管理学院讲师,研究方向:用户行为、电子商务;袁勤俭,男,南京大学信息管理学院教授,研究方向:用户行为、电子商务。

收稿日期: 2021-08-23

  网络出版日期: 2022-05-18

基金资助

*本文系江苏省“双创计划”双创博士人才项目(项目编号:RSCBS2018-01-09)、南京邮电大学引进人才项目(项目编号:NYY218009)与南京邮电大学国家自然科学基金孵化项目(项目编号:NY219070)研究成果之一。

Strategic Thinking on the High-quality Development Path of China's Information/Intelligence Work under the Background of New Technology

  • Zhang Yihan Yuan Qinjian
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Received date: 2021-08-23

  Online published: 2022-05-18

摘要

近年来,大数据、云计算、物联网、人工智能等新技术的兴起,为情报工作提供了新思想、新方法和新工具,带来了机遇和挑战。为了帮助信息服务机构在新技术背景下更好地开展情报工作,实现数字化转型和高质量发展,文章在追踪近年国内外情报工作发展动态的基础上,提出了新技术背景下情报工作高质量发展的战略路径,包括:(1)在战略方向上,以总体国家安全观为导向开展情报工作,建立大情报观,服务国家重大发展战略;(2)在来源数据上,重视多元多模态开源数据的融合分析,跨机构跨学科协同共建开源数据资源整合平台;(3)在生态体系上,实现理论与实践的融合统一,确保情报学教育、情报学研究切实服务于情报工作;(4)在工作重心上,关注新技术在情报工作中的应用,重视经济情报/金融情报、科技情报、军民融合情报、反情报工作的开展;(5)在协作交流上,建立战略联盟,成立专门组织,定期对新技术背景下情报工作的重点难点和发展方向进行研讨。

本文引用格式

张一涵 袁勤俭 . 新技术背景下我国情报工作高质量发展的战略思考*[J]. 图书与情报, 2021 , 41(05) : 107 -114 . DOI: 10.11968/tsyqb.1003-6938.2021081

Abstract

In recent years, the rise of new technologies such as big data, cloud computing, internet of things, artificial intelligence has provided new ideas, new methods and new tools for information/intelligence work, and brought new opportunities and challenges. In order to help information service organizations better carry out information/intelligence work under the background of new technologies, realize digital transformation and high-quality development, this study puts forward some suggestions for high-quality development of information/intelligence work under the background of new technologies on the basis of tracking the development trends of domestic and foreign information/intelligence work in recent years, including:(1) For the strategic direction, carry out information/intelligence work guided by the holistic approach to national security, establish a big intelligence concept, and serve the country’s major development strategies; (2) For the source data, attach importance to the fusion analysis of multiple and multi-modal open source data, build an open source data resource integration platform through cross-institution and cross-disciplinary collaboration; (3) For the ecosystem, realize the integration and unification of theory and practice, ensure that information science education and information science research effectively serve the information/intelligence work; (4) For the focus of work, pay attention to the application of new technologies in information/intelligence work, pay attention to the development of economic intelligence/financial intelligence, scientific and technological intelligence, military-civilian fusion intelligence, and counterintelligence; (5) For the collaborative communication, establish strategic alliances and specialized organizations to conduct regular discussions on the key difficulties and development directions of information/intelligence work under the background of new technologies.
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