This project seeks to bridge the gap between research and real-world implementation by refining, validating, and deploying an AI-driven forecasting system across
the Great Lakes, enabling proactive hazard management and resilient shoreline planning. The tools would empower decision-makers with risk maps and timely forecasts, enabling proactive shoreline management, reducing economic losses, and enhancing community resilience across New York’s Great Lakes region and beyond. Unlike largely research-focused efforts, the proposed study is intended for real-time implementation and providing a decision-making platform for stakeholders which will support better-informed and targeted policy responses by leveraging data-rich forecasting tools. This project is also aimed at supporting the efforts of the bordering state governments to build climate resilience, reduce disaster-related economic losses due to flooding and erosion, and protect vital freshwater shorelines.
