04/09/2026
AI and machine learning are opening up new possibilities for climate science – particularly when it comes to making sense of complex, large, and often incomplete datasets.
The next IIASA AI for Climate Science Seminar looks beyond what happens next to a harder question: What would happen if the system were different?
After a short summer break, the series returns with Dingling Yao, ELLIS PhD candidate at the Institute of Science and Technology Austria - ISTA and visiting researcher at Caltech, for her talk, “Beyond prediction: Answering climate what-if questions from observations.”
Drawing on research into tropical cyclones and sea-surface temperatures, Yao will explore how AI systems can move beyond pattern matching to recover meaningful physical structure from observational data and reason more reliably about conditions not represented in their training data.
📅 Wednesday, 9 September 2026
🕓 16:00–17:30 CET
💻 Online via Zoom
⚠️ Registration is required for online participation.
👉 Register and find out more: https://iiasa.ac.at/events/sep-2026/ai-for-climate-science-seminar-series-beyond-prediction-answering-climate-what-if
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