ELLIS UnConference Workshop - AI for Earth and Climate Sciences
Copenhagen (Denmark), December 2, 2025
This ELLIS UnConference workshop organized by the ELLIS Unit Jena is co-located with EurIPS Copenhagen and will take place on December 2, 2025.
The workshop aims to foster a vibrant dialogue at the intersection of computer science, Earth system science, and environmental sciences, bringing together experts who share a vision of leveraging artificial intelligence to tackle some of the planet’s most pressing challenges.
Participants will exchange ideas on how advanced AI methodologies—from machine learning and deep neural networks to explainable AI and physics-informed modeling—can open new frontiers in climate prediction, environmental monitoring, and ecosystem understanding. A special emphasis will be placed on integrating physical knowledge with data-driven approaches, ensuring that models not only learn from vast Earth observation datasets but also remain faithful to underlying scientific principles. The workshop will also highlight the importance of data quality, robustness, and interpretability, reflecting the need for trustworthy and transparent AI systems in high-stakes societal and ecological contexts.
Beyond technical discussions, the workshop seeks to cultivate a collaborative spirit: connecting communities that often work in parallel, inspiring joint projects, and identifying the scientific and societal questions where AI can have the greatest impact. By bringing together insights from computer science and Earth system research, we aim to illuminate pathways toward innovative tools and practices that advance sustainable development and deepen our understanding of our changing planet.
Apply for a seat (without presenting a talk or poster) here:
https://survey.academiccloud.de/index.php/184682?lang=en
Further information about the program will be shared soon.
Call for Submissions
We warmly invite submissions to the AI for Earth and Climate Sciences workshop. Accepted contributions will be selected for presentation as a talk or poster on December 2, 2025. Submissions may include both previously published and new, unpublished work. Please note that this workshop is separate from the ELLIS UnConference poster session.
We welcome contributions exploring the theoretical foundations of explainability methods. Examples of suitable submissions include provable guarantees for explanation methods, identified limitations or impossibility results, illuminating examples or counterexamples, formal conjectures, and work in progress. We are open to all explanation paradigms (e.g., feature importance, concept-based, causal, mechanistic interpretability) and modalities (tabular data, images, text, and beyond).
Submission Guidelines
- Application: Please submit your abstract via the following form: https://survey.academiccloud.de/index.php/979696?lang=en
- Review: Submissions will be reviewed for relevance and quality. Accepted abstracts will be selected for presentation as posters or short talks. You may indicate your preferred presentation format, and we will do our best to accommodate your preference.
- Archival Policy: This workshop is non-archival. Authors are encouraged to submit preliminary, in-progress work, or recently published material.
Important Dates
- Submission Deadline: October 24, 2025
- Notification of Acceptance: October 30, 2025
- Workshop: December 2, 2025