AI for Early Warnings for All Innovation Challenge: Bridging Gaps with AI Solutions

Focus Areas 

• They 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 emergenc​y 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.​​

Benefits

• The AI for Early Warnings for All Innovation Challenge: Bridging gaps with AI solutions offers finalists a high-profile platform to showcase their solutions, gain global visibility, refine their ideas with expert mentorship, and build meaningful connections to help accelerate their work. Finalists will:​
  • ​Present at the AI for Good Global Summit 2025, during the session AI for Early Warnings for All Workshop: Bridging gaps with AI solutions​ on 09 July 2025, 09:00 AM – 12:15 PM CEST ​at Palexpo (Room T,) Geneva, Switzerland​​, gaining exposure to a global audience of tech leaders and changemakers​.
  • Receive tailored mentorship and technical guidance from leading AI experts, UN specialists and members of the AI Sub-Group of EW4All​. Plug into a powerful network of UN agencies, AI innovators, policymakers, and partners ready to explore opportunities for collaboration and growth​.

Duration

• Phase 1: Challenge launch​ and registration (May 2025)
• Phase 2: Evaluation and shortlisting (May 2025)
• Phase 3: Ideation and solution development (June 2025)
• Phase 4: AI4Good Global Summit and announcement of selected solutions (July 2025)​

Eligibility Criteria

• The challenge is open to individuals and teams (maximum of 6 per team) from various backgrounds. This includes experts in:
  • Artificial Intelligence and Machine Learning
  • Disaster Risk Reduction and Management
  • Climate Science and Meteorology
  • Data Science and Engineering
  • Communication and Social Sciences
  • Anyone with a passion for leveraging technology for humanitarian impact.

For more information, visit ITU.