Invitations to the 2026 ACCESS Community Workshops

Atmosphere/ML Workshop 2026
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Invitation
ACCESS Workshop Connecting Machine Learning to Earth System Science

:round_pushpin:Where: Melbourne, on the traditional lands of the Wurundjeri Woi Wurrung people of the Kulin Nation.

:spiral_calendar:When: 19–21 August 2026.

:bullseye: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.

:busts_in_silhouette: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.

:writing_hand:Abstract submissions are now open!

Submit your abstract here

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

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Hi everyone,

Just sending a reminder that the abstracts nominally close this Friday on the 15th of May.

I’d encourage you all to re-share the information pertaining to the conference through your networks.

I’ll also send an email through for those you not following the hive forum.

Cheers,

Vassili

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Thanks @VassiliKitsios. I just posted this reminder to submit abstracts in the Atmosphere, ML and ESM WG categories of the ACCESS-Hive Forum.

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HI team, will we be able to register to attend all or part of the workshop without having an ML abstract to submit?

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Hi @bethanwhite. Yes you can register to the Workshop - once registrations open (next week) and you don’t need to submit an abstract to register :slight_smile:

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Thanks Natalia!

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Hi @all,
Good news! The abstract submissions for the ACCESS Community Workshop Connecting Machine Learning to Earth System Science have been extended to Monday 25 May 2026!

Registrations for the Workshop will open soon.

Submit your abstract

We encourage all community members to submit an abstract, particularly Early Career Researchers (ECRs) and students. Please note that travel scholarships are available for ECRs and students travelling from outside Melbourne, but to be eligible you must submit an abstract for a talk or a poster.

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.