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Project name: AI Simulator for Climate Risk Decision-Making in the Dominican Republic
As climate risks intensify, AI-based simulators are essential for effective decision-making in risk management and adaptation.
This project develops a tailored AI-powered simulator for the Dominican Republic, considering its environmental, geographic, and socio-economic conditions.
By simulating extreme event scenarios, assessing potential impacts, and exploring adaptive strategies, the tool empowers authorities and communities to enhance resilience, strengthen preparedness, and implement informed responses to climate threats, ensuring long-term sustainability and disaster readiness.
due to disasters
Impact and Key Findings
1
The AI-driven simulator models climate emergency scenarios specific to the Dominican Republic, enabling timely, data-informed decision-making. It equips stakeholders to plan, adapt, and respond proactively, strengthening resilience against evolving climate threats and ensuring more effective risk management.
2
By combining climate data, disaster histories, infrastructure vulnerabilities, demographics, and economic indicators, the simulator provides a comprehensive risk assessment. This approach strengthens planning efforts and improves coordination among agencies, ensuring more effective disaster preparedness and response strategies.
3
Designed for accessibility, the simulator delivers localized, actionable insights for communities and policymakers. It enhances grassroots resilience by enabling tailored strategies to reduce vulnerability, safeguard lives, and mitigate losses from future climate-related extreme events.
