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UID:submissions.pasc-conference.org_PASC26_sess147@linklings.com
SUMMARY:MS3G - Open(ing) Development
DESCRIPTION:Access the recording\n\nOrganizer(s): Jan Frederik Engels (Ger
 man Climate Computing Centre)\n\nIn recent years, openness through the ava
 ilability of source code has increased substantially. This trend has been 
 driven by strong initiatives from funding agencies and scientific journals
  seeking to enhance reproducibility and transparency. In this minisymposiu
 m, we aim to discuss both the benefits and challenges of approaches that g
 o beyond mere code accessibility to enable genuine community participation
  in model development. Communities engaged in Open Development must take i
 nto account several key aspects, including governance, communication, and 
 the cultivation of a welcoming and inclusive culture. Equally important ar
 e the practical considerations—such as building and maintaining the commun
 ity, developing comprehensive documentation, and establishing processes th
 at ensure confidence in the quality of contributions, for example through 
 review and testing practices.\n\nStarting Open Development with the ICON M
 odel: Conditions, Conflicts and Challenges\n\nICON, a weather and climate 
 model originally developed by the German Weather Service and the Max Planc
 k Institute for Meteorology in 2004, has since expanded with additional in
 stitutional partners. Since 2024, ICON is distributed under an open-source
  license, yet it lacks a fully open development wo...\n\n\nRalf Müller (Ge
 rman Climate Computing Centre)\n---------------------\nAnemoi: A New Colla
 borative Framework for Data-Driven Weather Forecasting\n\nAnemoi is an ope
 n source python-based framework for building data-driven weather forecasti
 ng models. It is developed in collaboration by many weather forecasting ce
 ntres across Europe. The goal of Anemoi is to provide the key building blo
 cks to train state‑of-the‑art data-driven models a...\n\n\nCathal O Brien 
 (ECMWF)\n---------------------\nFrom Access to Participation: Using Learni
 ng Analytics to Support Onboarding in Open HPC Projects\n\nOpen developmen
 t has become increasingly important for large-scale scientific software pr
 ojects, particularly in the high-performance computing domain. While the a
 vailability of source code improves transparency and reproducibility, comm
 unity participation requires more than open repositories. New c...\n\n\nBi
 rte Heinemann (RWTH Aachen University)\n---------------------\nOpen Discus
 sion: What does Open Development Need and How can we Achieve this?\n\nThis
  session will be an open discussion on the topic "What does Open Developme
 nt need and how can we achieve this?" where we also invite the audience to
  participate and contribute their experiences and ambitions with Open Deve
 lopment.\n\n\nJan Frederik Engels (German Climate Computing Centre (DKRZ))
 \n\nDomain: Climate, Weather, and Earth Sciences, Applied Social Sciences 
 and Humanities\n\nSession Chair: Jan Frederik Engels (German Climate Compu
 ting Centre)
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