Artificial intelligence for natural disaster management

Author

Guansong PANG, Singapore Management UniversityFollow

Publication Type

Journal Article

Version

acceptedVersion

Publication Date

11-2022

Abstract

Artificial intelligence (AI) can leverage massive amount of diverse types of data, such as geospatial data, social media data, and wireless network sensor data, to enhance our understanding of natural disasters, their forecasting and detection, and humanitarian assistance in natural disaster management (NDM). Due to this potential, different communities have been dedicating enormous efforts to the development and/or adoption of AI technologies for NDM. This article provides an overview of these efforts and discusses major challenges and opportunities in this topic.

Keywords

Social networking (online), Wireless networks, Disaster management, Geospatial analysis, Intelligent systems, Forecasting

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems | Environmental Sciences

Research Areas

Intelligent Systems and Optimization

Publication

IEEE Intelligent Systems

Volume

37

Issue

6

First Page

3

Last Page

6

ISSN

1541-1672

Identifier

10.1109/MIS.2022.3220061

Publisher

Institute of Electrical and Electronics Engineers

Citation

PANG, Guansong. Artificial intelligence for natural disaster management. (2022). IEEE Intelligent Systems. 37, (6), 3-6.
Available at: https://ink.library.smu.edu.sg/sis_research/7807

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1109/MIS.2022.3220061