DSM专刊征稿 | 数智时代的应急管理

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DSM专刊征稿

Call for Papers on Special Issue:

Emergency management in the era of big data and artificial intelligence

数智时代的应急管理

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   Submission due：

   15 Oct. 2023

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专刊介绍

Emergency management is an essential ingredient of the national governance systems and capacity that take responsibility for risk prevention, emergency disposal, life and property safety, and social stability maintenance. Promoting emergency management systems and capacity enhancement is becoming an essential issue in academia and industry. In the era of big data and artificial intelligence, the new generation of information technology, e.g., 5G and blockchain, brings broad prospects for improvements to emergency management capacity. Emerging technologies can not only enhance emergency management scientifically, professionally and intelligently, but can also deepen the integration of digital intelligence technology and emergency management services.

For this special issue, we invite researchers from academia and industry to discuss the topic of combining digital technologies and emergency management, both theories and applications, under various emergency management scenarios. All types of research related to digital technologies and emergency management are welcomed, including conceptual, theoretical, analytical and/or empirical research.

征稿范围

包括（但不限于）下列议题：

• The application of digital intelligence technologies in risk governance and emergency management

• Emergency data governance and data applications

• Smart city emergency management and system construction

• Digital intelligence technologies and resilient community construction

• Urban and rural integrated risk monitoring

• The participation of individuals and non-profits in emergency management

• Theories about intelligent emergency management

• Intelligent emergency management practices

投稿须知

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进入作者投稿指南

• Please read the Guide for Authors before submitting;
  

• All articles should be submitted online; 

• please select VSI: Emergency management on submission.

客座主编

• Dr. Hongpeng Wang, Lanzhou University, China.

  Email: whp@lzu.edu.cn

• Dr. Zhilei Qiao, University of Alabama at Birmingham, USA.

  Email: qiaozl@uab.edu

• Dr. Shixuan Fu, University of Science and Technology Beijing, China.

  Email: fushixuan@ustb.edu.cn

• Dr. Maomao Chi, China University of Geosciences, China.

  Email: chimaomao@vip.163.com

• Dr. Yiming Li, Inner Mongolia University, China.

  Email: 111988045@imu.edu.cn

  
  

For further enquiries, please email dsm@xjtu.edu.cn, and the editing team will respond promptly.

关于我们

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Data Science and Management（《数据科学与管理(英文)》，DSM）是一本由西安交通大学主办，西安交通大学管理学院、数学学院与期刊中心共同承办的开放获取英文学术期刊。期刊旨在推动数据科学研究及其在商业、工程、社会管理等领域的应用，聚焦数据科学与管理科学交叉领域，突出运用数据科学理论方法，解决数字化、网络化、智能化发展中的管理难题和经济社会转型发展中的关键问题。期刊由徐宗本院士担任主编，已入选FMS管理科学高质量国际期刊推荐列表，并已被Scopus、DOAJ数据库收录。

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期刊主页：

https://www.keaipublishing.com/en/journals/data-science-and-management/

投稿网址：

https://www.editorialmanager.com/dsm/default1.aspx

编辑 | 赵亚娟

校对 | 杨   越

审核 | 张   丛

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