Hosted by National Technical University of Athens (NTUA) and co-organised by ELLIS Unit Jena, the the MeDiTwin and AI4PEX projects, the ELLIS Winter School 2026 brings together researchers, practitioners, and students to explore how artificial intelligence can advance Earth system and climate science.
With growing urgency to understand and mitigate floods, wildfires, droughts, and other extreme events, this school aims to foster interdisciplinary collaboration and develop robust, interpretable AI models for monitoring, forecasting, and impact assessment.
Through lectures, tutorials, and interactive discussions, participants will gain hands-on experience, exchange knowledge, and contribute to next-generation AI-driven environmental solutions.
Who Should Attend
This winter school is designed for:
- Master’s and PhD students
- Postdoctoral researchers
- Early career professionals
If you are passionate about AI, data analytics, and environmental sciences—whether from academia, research, or industry—this program is for you! Eligibility details (PDF)
Programme Highlights
- Apply AI to Climate Extremes: Use AI tools to model, monitor, and predict extreme weather and climate events in real-world scenarios.
- Understand and Explain Models: Learn to make AI models transparent, physics-informed, and causally grounded to improve trust and understanding.
- Assess and Communicate Results: Develop skills to interpret results and communicate findings to scientists, decision-makers, stakeholders, and the public.
- Collaborate and Exchange Ideas: Work with experts in AI and climate science and connect with researchers from diverse backgrounds.
The full programme will be announced soon. Check here for updates
Registration
Deadline: January 2, 2026, 23:59 EET
Registration Requirements:
- CV (PDF, max 2 pages)
- Motivation statement (max 1200 characters)
- Impact statement (max 1200 characters)