The United States is one of the most natural disaster-prone countries in the world. Since
1980, there have been 246 weather and climate disasters exceeding $1.6 trillion in …

Disaster management organizations rely upon and have benefited from the rapid
advancement and increasing capabilities of technology. From modeling events to …

Technical and methodological enhancement of hazards and disaster research is identified
as a critical question in disaster management. Artificial intelligence (AI) applications, such as …

This paper presents a vision for a Disaster City Digital Twin paradigm that can:(i) enable
interdisciplinary convergence in the field of crisis informatics and information and …

Natural disasters pose a substantial threat to human lives, property, and ecosystems,
necessitating more effective prediction and response mechanisms. This chapter explores …

Disaster management is a critical area that requires efficient methods and techniques to
address various challenges. This comprehensive assessment offers an in-depth overview of …

This chapter presents the use of Big Data analytics and data mining of social media (SM) for
effective emergency management and its uses during different phases of disaster …

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 …

Global warming worsens natural disasters and humanitarian issues. Disaster prediction
relies on satellites and weather stations. AI may help catastrophe management. AI reduces …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …