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At EGU27 (4-9 April 2027, Vienna), the annual assembly of the European Geosciences Union (EGU), the largest annual gathering of all geoscience domains in Europe, we are convening the session Better software, better research? The role of research software engineering in enhancing open science across disciplines, and we need your help to make it a success.

Convened by Jack Atkinson, Hui Ling Wong, Sarah Alidoost and Kirsty Pringle, please consider submitting a talk or poster to the session, and share it with your collaborators and networks.

Abstract submission is now open, with a deadline of Tuesday, 12 January 2027, 13:00 CET.

This is a Geoscience & Society (GS) session, so you can submit an abstract here in addition to a main disciplinary session; it doesn’t count against your regular submission.

Who is this session for?

Anyone involved with collaborative research that involves code. That might be in a research software engineering or technical professional role, or as a scientist who develops models and performs data analysis; we want to hear from you. We are a friendly session, welcoming talks and posters from all career types and stages, and we particularly encourage early career submissions. Anyone with an interest in software or open science is welcome to share their work and experiences.

About the session

Software is central to modern geoscience, from Earth-system simulations on HPC to processing raw fieldwork data, and enables sharing and reproducing of research. This effort takes not only researchers but also digital research technical professionals, such as research software engineers (RSEs) and data stewards, whose skills make science more efficient, reproducible, and openly accessible.

This session highlights how engagement between researchers and RTPs/RSEs enhances science and supports sustainable reuse of research outputs. We invite:

  • Stories of collaboration: both successes and failures, with lessons learned
  • Examples of cross-cutting software and workflows, and examples of reuse enabling new science
  • Contributions linking open software to open data, reproducibility, and FAIR principles
  • Perspectives on software policy: funding, team structures, career recognition, green computing, generative AI, and institutional change

Anyone working towards open science across academia and industry is encouraged to participate.

We look forward to receiving your abstracts and seeing you in Vienna!

This session is also listed in our events calendar.