Personalized Risk and Exposure Prediction for Adaptation and Resilience

Climate change is intensifying extreme weather events, posing increasing risks to communities worldwide. In response, the United Nations has called for comprehensive Early Warning Systems for All (EW4All) by 2027. This presentation introduces PREPARE—a Personalized Risk and Exposure Prediction for Adaptation and Resilience system—designed to deliver tailored early warnings for climate-related hazards, enabling individuals and communities to take proactive protective measures.

The development of PREPARE builds upon insights from the Personalized Real-time Air Quality Information System for Exposure for Hong Kong (PRAISE-HK), which provides ultra-high-resolution air quality forecasts and actionable health recommendations. A core strength of PRAISE-HK is its user-centric design, which integrates feedback from vulnerable populations to enhance accessibility and impact. Similarly, PREPARE leverages high-resolution climate predictions, AI-driven risk assessments, and real-time exposure analytics to provide personalized alerts for extreme weather events such as floods, heatwaves, and storms.

Beyond advanced forecasting, PREPARE emphasizes effective risk communication and community engagement. By collaborating with local NGOs, healthcare providers, and community organizations, the system addresses the last-mile challenge in warning dissemination, ensuring that critical information reaches those most at risk in a timely and actionable manner.

This presentation highlights how PREPARE integrates cutting-edge environmental forecasting, AI, and participatory design to create a more responsive, inclusive, and effective early warning system for climate resilience.