ELLIS Winter School 2027: AI & ML in Earth System Science

Exploring current and future challenges in leveraging AI and ML for improving our understanding and modelling of the Earth system.
1-5 March, 2027
Overview

ELLIS Winter School 2027: AI & ML in Earth System Science

March 1-5, 2027 | Friedrich-Schiller-University Jena (Germany).

The ELLIS Winter School on “AI & ML in Earth System Science: Exploring current and future challenges in leveraging AI and ML for improving our understanding and modelling of the Earth system” is a 5-day hands-on program hosted by AI4PEX and ELIAS Horizon Europe projects and the ELLIS Unit Jena, in cooperation with MeDiTwin and EXPECT.

The school offers a combination of theoretical lectures, hands-on training, and real-world applications, bringing together experienced leaders and scientists with early career researchers to explore and discuss the latest advances in AI and ML for solving classic, new and long-standing challenges in Earth System science.

Visit Official Event Website →

Focus Areas

Key Pillars

EARTH SYSTEM DOMAINS
Investigate physical, chemical, and biological processes driving land, ocean, atmosphere, and biosphere. Focus on critical interactions and feedbacks defining Earth system behaviour across vast spatial and temporal scales.
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
Learn to analyse Earth observations and enhance system models using cutting-edge techniques. From foundation models and generative AI to stochastic modelling and agentic AI, adapt methods for specific scientific tasks.
TRUSTWORTHY AI
Assess robustness, reliability, physically meaningfulness and identify limitations in AI/ML data-driven approaches. Focus on explainability, responsible use and the ethical implications of applying AI in Earth system science.
OPEN CHALLENGES
Tackle open scientific and methodological challenges, through open discussions and collaborative group challenges, identify unresolved questions, promising research directions and opportunities for interdisciplinary discovery.
Speakers

Keynotes by Experts

Keynotes will feature leading scientists and practitioners sharing cutting-edge insights and forward-looking perspectives on Earth system science and machine learning/AI, setting the stage for the school's themes and inspiring participants with new ideas and directions.

Zhijing Jin

Zhijing Jin

University of Toronto

Ethics │ Causality │ Responsible AI
Tapio Schneider

Tapio Schneider

Caltech

Earth System Modeling │ Coupling
Konstantin Klemmer

Konstantin Klemmer

ETH Zurich

Foundation Models │ Land │ Biosphere
Peter Dueben

Peter Dueben

ECMWF

Foundation Models │ Coupling

Lectures Introducing Theory and Basics

The lectures will provide foundational knowledge and theoretical underpinnings of specific topics, ensuring participants have a solid understanding of the concepts before diving into hands-on activities. They will cover essential principles and methods in an accessible and engaging manner.

Christian Reimers

Christian Reimers

Max Planck Institute for Biogeochemistry

Land │ Biosphere │ generative AI
Shijie Jiang

Shijie Jiang

Max Planck Institute for Biogeochemistry

Climate Extremes │ explainable AI
Agenda & Schedule

Programme

ELLIS Winter School 2027 Schedule & Programme

Zero2Heros (Guided Hands-on Sessions) Zero2Heros are structured, guided hands-on sessions where participants learn a specific technique or method through practical exercises, with the support of tutors. These sessions aim to rapidly build skills and confidence in applying new tools and approaches to real-world problems.

Challenges (Group Projects) Challenges are collaborative, problem-based activities where participants work in groups to address a real-world or simulated problem. These sessions encourage teamwork, creativity, and critical thinking, allowing participants to apply learned concepts to solve complex tasks and develop solutions under guidance from experienced mentors.

Application

Registration

Registration is open until 15. November 2026, 23:00 CET. To register use our online form. Participant number is limited to 100. Notifications of acceptance will be sent no later than by 14. December 2026.

For registration you need the following:

  • CV (PDF format, max 2 pages)
  • Motivation statement (1200 characters)
  • Impact statement (1200 characters)
Logistics

Event Details

• When: 1.- 5. March 2027 • Location: Friedrich Schiller University Jena - Rosensäle (map) • Format: in-person (hands-on) • Working Language: English • Participant Fees: 400 €

Jena City View
Jena City View & Friedrich Schiller University
Team

Organising Committee

Nuno Carvalhais

Max Planck Institute for Biogeochemistry ELLIS Unit Jena │ AI4PEX │ ELIAS │ MeDiTwin

Joachim Denzler

Friedrich Schiller University Jena ELLIS Unit Jena

Nicole Börner

Max Planck Institute for Biogeochemistry AI4PEX │ ELIAS

Conrad Phillip

ELLIS Unit Jena ELLIS Unit Jena

Ilektra Karasante

Remote Sensing Lab, National Technical University of Athens MeDiTwin

Ioannis Papoutsis

Remote Sensing Lab, National Technical University of Athens MeDiTwin

Georgina Spyres

Remote Sensing Lab, National Technical University of Athens MeDiTwin

Dilsad Kurdak

ELLIS Unit Jena ELLIS Unit Jena

Aygun Garayeva

Fondazione Bruno Kessler ELIAS

Cristina Radin

Max Planck Institute for Marine Microbiology AI4PEX

Kazem Ardaneh

IPSL-Institut Pierre-Simon Laplace, CNRS, France AI4PEX
Join Us

Register for ELLIS Winter School 2027

Registration is open until 15. November 2026, 23:00 CET. Participant number is limited to 100. Notifications of acceptance will be sent no later than by 14. December 2026.

Upcoming Events