Towards Exploiting Stakeholder Resources for Data-Driven Resilient Hazard Management

Natural hazards (e.g., floods, landslides, earthquakes and hurricanes) can cause catastrophic damages and significant socioeconomic loss. In the event of a natural disaster, the time lag of satellite data availability, and the scarcity of hazard sensing and rescue resources become major obstacles. We believe motivating social and stakeholders engagement will help improve the resilience capacity against disasters, minimizing the impact of uncertainties of disasters, and allowing hazard management systems to make efficient allocation of rescue resources (e.g., first responders) and relocation plans. In this paper we propose a novel, efficient, effective, economical, and sustainable approach, which exploits resources and data from stakeholders (e.g., citizens, infrastructure managers, authorities, rescuers, NGOs, urban and land-use planners) to tackle the intrinsic uncertainty in the nature environment and the human society. This approach will help forming a new understanding and exploitation of stakeholder resources to reduce risks, provide quick responses, exploit scarce resources, save more lives, assist reliefs and beyond. We also outline some future directions including using metaverse-based emulations.