AI for Early Warnings for All Innovation Challenge: Bridging Gaps with AI Solutions
AI for Early Warnings for All Innovation Challenge: Bridging Gaps with AI Solutions
We are looking for projects that can propose solutions to innovate on these four challenge areas:
AI for Data Gaps: Develop AI-powered tools that address missing or low-quality data in early warning systems, including the use of synthetic data, data fusion, and natural language processing to enhance coverage and accuracy.
AI for Forecasting and Impact-Based Prediction: Create AI models to improve the accuracy, lead time, and impact-based nature of hazard forecasting, including extreme weather, heatwaves, and slow-onset disasters.
Societal Impacts of AI in Early Warning: Design inclusive, ethical AI systems that address language barriers, accessibility, misinformation, and trust-building in communities, especially among vulnerable and marginalized groups.
Emergency Preparedness, Anticipatory Action and Resource Optimization: Apply AI to strengthen anticipatory approaches and optimize the allocation of emergency resources, including the design of scenario-based simulations, improving logistics, targeting and delivery under short lead times, supporting personalized early action advice, behaviour-triggering tools or coordination support, and assessing preparedness and/or anticipatory action plans in real-time.
For More Information and Application Details, See;
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