A Novel Information System Framework for Natural Disaster Management

Worldwide natural disasters are increasing, causing global multihazard mortality and demanding complex Information Systems (IS) solutions. Providing real-time decisions in IS integrating up-to-date technologies to maximize efficient and resilient results in natural disasters is an open problem with a multidisciplinary scope involving information treatment and software technology, artificial intelligence, and engineering, among other domains. This work proposes a novel IS framework for natural disaster management based on the design science research paradigm to define an artifact integrating autonomous decision agents with pathway diversity and Digital Twins (DT). The experiments to cope with resilient results use real-world data from Brazil’s 2024 fire disasters with a nine-month simulation and three management agent types: operational, tactical, and strategic. The findings with the joint use of multi-agent, pathway diversity, and DT technologies for natural disaster management indicate the potential of the proposed framework.