Artificial Intelligence (AI) and Machine Learning (ML) methods are becoming increasingly important in both science and society. In climate science - where complex biophysical and societal processes interact across diverse temporal and spatial scales, and datasets are often large, heterogenous and incomplete - AI and ML methods offer new powerful solutions.
Join us for the next AI for Climate Science Seminar!
We are pleased to announce that our May edition features Dr. Jade Eva Guisiano.
Dr. Jade Eva Guisiano is a postdoctoral researcher at Tsinghua University’s Institute of Energy, Environment and Economy, supported by the Shuimu Tsinghua Scholarship. She holds a PhD in Mathematics and Computer Science from École Polytechnique and ISEP in France. She is a former consultant for the United Nations Environment Programme, where she worked on integrating artificial intelligence into sustainable development policy tools, including the SDG-Meter, a project for aligning government proposals with the Sustainable Development Goals. Her current research focuses on AI, remote sensing, and policy design for greenhouse gas mitigation and climate scenario assessment.
For online participation, a registration is necessary.
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Title:
Towards AI-Assisted Climate Scenario Assessment
Abstract:
Climate scenario databases are growing rapidly, but the ability to systematically interpret and compare large scenario ensembles is not keeping pace. This talk explores how artificial intelligence, and particularly large language models, could support climate scenario assessment as a transparent analytical assistant. Rather than replacing integrated assessment models, AI can act as an additional analytical layer to help expand underexplored scenario pathways, vet the plausibility and coherence of scenarios, and synthesize large ensembles into structured and policy-relevant insights. Three strategic directions are discussed: scenario space expansion, scenario vetting, and scenario synthesis. The talk also considers how these approaches could contribute to a more iterative and learning-based scenario system, in which historical evidence and past scenario outcomes help improve future scenario design and interpretation.
The monthly AI seminar at IIASA features global experts in the field of AI and ML who will showcase the newest methodological advancements and applications in the field. Through a series of invited talks, the seminar showcases cutting edge research with the aim of strengthening AI and ML expertise at IIASA and to foster external collaborations. Additionally, it serves as an institute-wide platform for discussions and knowledge exchange across programs and working groups to spark new ideas and innovations.
As an initiative from the ECE/ ICI Theme on Extreme Weather and Climate Dynamics, this seminar is designed for both experts already integrating AI and ML into their workflows and those eager to expand their knowledge in these fields.
Upcoming Events
Hybrid: online and at the Austrian Academy of Sciences
Public lecture: Digitalization and AI within planetary boundaries
Chulalongkorn University, Thailand