As scientific experiments in basic research of universe & matter continue to generate vast volumes of data, the need for scalable, efficient, and sustainable computing becomes increasingly critical, not only to match the future requirements for data storage and processing but also to align with the responsibility imposed on the scientific community towards a more sustainable future.
This...
Scientific computing contributes significantly to the CO2 footprint created by research conducted in ErUM. In order to advance the environmental sustainability in this area the SUSFECIT (Sustainable Federated Compute Infrastructures) research network has been proposed with the goal to contribute to developing a strategy and interlinked software ecosystems to reduce CO2 footprint and to...
Scientists are already using generative AI in their research (Furze, 2025; Kwon, 2025; Nazir & Wang, 2023). But while there is extensive and ongoing research into the ethics of AI throughout its lifecycle (Coeckelbergh, 2020), and some research about the ethics of AI-related jobs and how certain job tasks might use AI (Chance & Hammersley, n.d.; Gray & Surrey, 2019; Perrigo, 2023; Williams et...
I will argue why the classical Four Software Freedoms (Use, inspect, improve, share) are much more than utopian dreams of idealists with long beards. On the contrary, in addition to them providing an inclusive social contract fostering software development in a process resembling the scientific process itself, it is also an important ingredient to FAIR software that is sustainable in both...
