Invitation
ACCESS Workshop Connecting Machine Learning to Earth System Science
Where: Melbourne, on the traditional lands of the Wurundjeri Woi Wurrung people of the Kulin Nation.
When: 19–21 August 2026.
Aims of the Workshop
- Facilitate communication and collaboration between members of the ML and physical science communities, by sharing with each other latest machine learning tools, and key open problems in weather, climate, and Earth system physics.
- Deliver training sessions on community requested ML approaches and/or fundamental science.
- Aim to develop a community white paper articulating challenges and opportunities in the adoption of ML for solving archetypal problems in weather and climate, specific to the Australian region.
Who could benefit from participating
- Anyone from the machine learning (ML) community looking to promote their latest methods to the community, and learn about key problems in weather and climate within the Earth system sciences.
- Anyone from the physical science communities (i.e. weather, climate, atmosphere, ocean, sea-ice, land, bio-geo-chemistry, etc.), looking to communicate key open questions in their own lines of research, and identify how potential ML approaches may assist.
- Students, early-mid career researchers, senior researchers, research software engineers and practitioners are all welcome.
- Specific community working group (CWG) days will be arranged for the ACCESS-NRI Machine learning for climate and weather CWG, and Atmosphere Modelling CWG. Arrangements can also be made for other working groups that may wish to meet.
Abstract submissions are now open!
We are looking for submissions that contribute to the main aims of the workshop, of building a common knowledge base between the machine learning (ML) and Earth system physics communities.
This may include but not limited to:
- Sharing latest potentially relevant machine learning tools;
- Articulating key open problems in Earth system physics that might benefit from the application of ML methods;
- Present case studies and progress to date in the broad area of ML applications to problems in weather and climate**.**
Registrations will open soon.
**More information: ACCESS Workshop: Connecting Machine Learning to Earth System Science, 19-21 August 2026 | ACCESS-NRI . If you have questions, send an email to access.nri@anu.edu.au