As climate change accelerates migration, conflict, and humanitarian crises, understanding the role of religion in shaping community responses is crucial. This presentation explores multi-agent artificial intelligence modeling applied to four case studies: refugee integration in the Netherlands, religious aid dynamics in Lesbos, climate policy resistance in the EU, and conflict-climate interactions in Palestine through a collaboration with UNDP Program for Assistance to the Palestinian People.
Findings reveal that faith-based interventions often outperform secular approaches in fostering social cohesion, aid distribution, and policy adoption. In Palestine, for example, climate shocks exacerbated religious-political divisions, requiring culturally attuned development aid strategies. Our AI-driven simulations provide predictive insights for optimizing aid distribution, refugee policies, and climate mitigation efforts.
By bridging computational modeling and religious studies, this research highlights AI’s potential to enhance development aid strategies, ensuring they are ethically, culturally, and religiously sensitive in an era of climate-driven crises.