Introduction and Constanze Roedig's KeyNote
summary
Cloud-native tooling is used to make research reproducible and interactive by packaging environments as Docker images, launching them with JupyterHub/BinderHub, pushing to registries with DOIs and optionally snapshotting VMs for long‑term replay. A prototype course (ECTS credit) and grant-funded platform show this works for diverse fields and for validating the 2017 Nobel gravitational‑wave result from noisy detector traces; surprising pain points include a 70k‑line Fortran codebase that is readable but unusable on GitHub.
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