AI and data science for smart emergency, crisis and disaster resilience

23Citations
Citations of this article
114Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as the COVID-19 pandemic, hurricane Ian, global financial inflation and recession, misinformation disaster, and cyberattacks. AI for smart disaster resilience (AISDR) transforms classic reactive and scripted disaster management to digital proactive and intelligent resilience across ECD ecosystems. A systematic overview of diverse ECDs, classic ECD management, ECD data complexities, and an AISDR research landscape are presented in this article. Translational disaster AI is essential to enable smart disaster resilience.

Cite

CITATION STYLE

APA

Cao, L. (2023). AI and data science for smart emergency, crisis and disaster resilience. International Journal of Data Science and Analytics, 15(3), 231–246. https://doi.org/10.1007/s41060-023-00393-w

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free