AI for Humanitarian Response: Predicting Droughts, Floods & Displacement

​Droughts, floods, and conflict can force communities to leave their homes, creating serious challenges for humanitarian organizations. Understanding where these risks are developing can help organizations prepare earlier and make better-informed decisions about where support may be needed.

​In this webinar, we’ll explore how AI and machine learning can help predict environmental risks and better understand patterns of displacement. Through a real-world Omdena project with the UN Refugee Agency (UNHCR) in Somalia, we’ll look at how satellite imagery, environmental data, and neural networks can help monitor changing conditions, identify potential warning signs, and support humanitarian planning.

​What we’ll explore

​🔹 How AI can help predict drought and flood risks and analyze displacement patterns
🔹 How satellite imagery can help monitor environmental changes
🔹 How neural networks can forecast vegetation health as an indicator of environmental stress
🔹 How climate and displacement data can support humanitarian planning
🔹 Challenges of developing and applying predictive AI in humanitarian settings

​Who should attend

​Humanitarian NGO leaders, disaster management and emergency response professionals, climate resilience organizations, UN agencies, displacement and migration specialists, development organizations, and professionals working in AI, geospatial analysis, and early warning systems.

​📅 11 November 2026
🕒 3:00 PM UTC
💻 Online

​Join us to explore how AI can help humanitarian organizations identify risks earlier, improve preparedness, and make better-informed decisions for communities affected by climate-related disasters and displacement.

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