Splinter Meeting EScience
E-Science / E-Infrastructures / Virtual Observatory / Machine Learning
Time: Tuesday September 08, 14:00-15:30
and 16:00-17:30
CEST (UTC+2)
Room: MW-2235
Convenor(s): Markus Demleitner, Harry Enke
ARI-Uni Heidelberg, Leibniz Institute for Astrophysics Potsdam (AIP)
"This splinter meeting is dedicated to standard infrastructures for astronomical data dissemination and analysis,
with an extra focus on Machine Learning and other AI techniques.
These are, on the one hand, particularly data-hungry and hence depend on the availability of easily processable,
well-described data at scale. On the other hand, generative techniques (not at all restricted to LLMs)
promise to address some limitations of our current systems, from flattening admittedly steep learning curves
to contributing to more focused data discovery.
This year's focus topic will be operations; what are good, sustainable practices to run astronomical data infrastructures.
This is particularly relevant as the new GADC, a data centre designed to serve the German astronomical community f
or decades to come and that will both consolidate existing and create new services, is ramping up.
2026 is also the year the first cycle of the NFDI in Astronomy (PUNCH4NFDI) ends, while ErUM-Data-funded projects
come into operations. We cordially invite contributions reporting on these efforts."
Slides from the Splinter meeting are available.
Program
Tuesday September 08, 14:00-15:30
E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (MW-2235)
Tuesday September 08, 16:00-17:30
E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (MW-2235)
Related contributions
*) submitted abstracts, acceptance pending.