Bringing AI, Earth Observation, and Climate Science together

In an era of unprecedented data availability from satellites, sensors, and simulations, artificial intelligence is transforming how we observe, model, and understand the Earth system. AI-driven approaches now play a central role in extracting insight from complex, high-dimensional geospatial and climate data, enabling improved monitoring, prediction, and decision-making under uncertainty.

Co-organized with ADIA Lab, this invitation-only symposium brings together leading researchers and practitioners working across artificial intelligence, Earth observation, climate science, and geospatial analysis to discuss recent advances, open challenges, and emerging directions at this intersection.

Topics will span foundation and representation models for Earth observation, multimodal and spatiotemporal learning, uncertainty-aware and physics-informed AI, climate and weather modeling, extreme event analysis, and scalable systems for global environmental monitoring, with a focus on translating methodological advances into real-world impact.