How AI Is Transforming Disaster Response: From Prediction to Relief Planning

​When disasters strike, humanitarian teams need to quickly understand who is affected, what they need, and how much support should be delivered. Earlier and more accurate information can help teams plan relief before needs escalate.

​In this webinar, we’ll explore a real-world Omdena project developed with the World Food Programme (WFP) Innovation Accelerator, using AI to predict affected populations and support faster, more targeted relief planning.

​The project initially focused on tropical cyclones and combined predictive modeling with a relief-package tool to help calculate food requirements based on factors such as affected populations, coverage days, and demographic needs.

​What we'll explore

• ​How AI can help estimate populations affected by disasters

• ​How predictive insights can enable earlier relief planning

• ​How data can help calculate tailored food and relief requirements

• ​How AI can support resource allocation during emergencies

• ​Key lessons from applying AI to humanitarian disaster response

​Who should attend

• ​Humanitarian and disaster-response professionals

• ​NGOs and international development organizations

• ​Emergency management teams

• ​Government and public-sector decision-makers

• ​Supply-chain and logistics professionals

• ​AI, data science, and climate-risk professionals

​Join us to explore how AI can enable earlier, more targeted, and data-driven disaster response.

This is a pre-recorded webinar with an AI-generated voice.