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

Longbing Cao

doi:10.1007/s41060-023-00393-w

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

Longbing Cao^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

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.

Original language	English
Pages (from-to)	231-246
Number of pages	16
Journal	International Journal of Data Science and Analytics
Volume	15
Issue number	3
DOIs	https://doi.org/10.1007/s41060-023-00393-w
Publication status	Published - Apr 2023
Externally published	Yes

Keywords

Emergency
Crisis and disaster
AI for disaster management
Data science for disaster management
Smart disaster resilience
Disaster AI
COVID-19

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10.1007/s41060-023-00393-w

Cite this

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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.",

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language = "English",

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AB - 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.

KW - Emergency

KW - Crisis and disaster

KW - AI for disaster management

KW - Data science for disaster management

KW - Smart disaster resilience

KW - Disaster AI

KW - COVID-19

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UR - http://purl.org/au-research/grants/arc/DP190101079

UR - http://purl.org/au-research/grants/arc/FT190100734

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

Abstract

Keywords

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Deep Interaction Learning in Unlabelled Big Data and Complex Systems (FT190100734)

Deep analytics of non-occurring but important behaviours (DP190101079)

Cite this

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Deep Interaction Learning in Unlabelled Big Data and Complex Systems (FT190100734)

Deep analytics of non-occurring but important behaviours (DP190101079)

Cite this