Abstract for: Combining Climate Models with Humanitarian Operations Models to Leverage Policies for Disaster Risk Management

This WIP addresses the challenge of integrating climate models with humanitarian operations models to leverage disaster risk management policies. We develop a SD-based framework linking global climate drivers to local disaster patterns and humanitarian operations. This integration will potentially help design more effective policies, balancing short-term disaster response with long-term resilience, while aligning with the UN Sustainable Development Goals. The study applies SD modeling to integrate climate models with humanitarian operations models. It leverages existing climate models and disaster classification from EM-DAT. The approach links global climate drivers to local disaster patterns, incorporating feedback loops and SDG-related trade-offs. The framework is designed to inform policy decisions for disaster risk management through dynamic simulation and scenario analysis. N/A For practice, this work might enhance disaster risk management policies by integrating climate and humanitarian models, improving response efficiency and long-term resilience. For research, it advances SD applications in climate-humanitarian interactions, offering a framework for future studies on policy trade-offs, adaptive strategies, and SDG alignment. It also opens streams for refining integrated climate-economic models and expanding multi-level disaster response strategies.