Artificial Intelligence-Based Simulator for Decision Making in Risk Management and Climate Emergency Scenarios

Dr Ulises Jáuregui-Haza
Head of the Project, INTEC

Ms Yanelba Abreu, Mr Juan Salas
Researcher, INTEC

Prof Antonio Torres-Valle
Professor, University of Havana

This project, an AI-driven simulator will be capable of accurately modeling various climate emergency scenarios specific to the Dominican Republic, thereby empowering stakeholders with timely and informed decision-making capabilities to mitigate risks and enhance resilience in the face of climate-related challenges. 
The simulator integrates diverse datasets related to climate variables, historical disaster occurrences, infrastructure vulnerabilities, population demographics, and economic indicators for determining objective and subjective risk associated with climate change.