Innovative Applications of Large Language Models in Disaster Management: An Interdisciplinary Overview – ScienceDirect.com

Large language models (LLMs) have emerged as powerful tools in disaster management, offering innovative solutions across various disciplines. This interdisciplinary review highlights their applications in areas such as risk assessment, emergency response, recovery, and communication. LLMs enhance decision-making by analyzing vast amounts of data, providing real-time insights, and improving situational awareness. They facilitate better predictive modeling and can optimize resource deployment during emergencies. Additionally, LLMs support public information dissemination through chatbots, ensuring accurate and timely communication. The review emphasizes the importance of collaboration among researchers, practitioners, and technologists to maximize the potential of LLMs in enhancing disaster resilience. Challenges such as data privacy, ethical considerations, and the need for robust training datasets are also discussed. By integrating LLMs into disaster management strategies, organizations can improve response effectiveness, streamline operations, and ultimately save lives. The study calls for future research to address existing gaps and enhance the adoption of LLM technologies.

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