Splinter Meeting EScience
E-Science / E-Infrastructures / Virtual Observatory / Machine Learning
Time: Tuesday September 16, 14:00-16:30
CEST (UTC+2)
Room: Schlesisches Museum
Convenor(s): M. Demleitner, K. Polsterer, M. Hoeft, H. Enke
ARI, HiTS, TLS, 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.
A focus topic this time will be resources for training astronomers
to efficiently use the data and software infrastructures built over
the past decades. Speakers presenting on courseware, novel ways of
knowledge dissemination or just sharing experiences made in
teaching data science will be most welcome.
Another obvious topic will address progress on making astronomical data
even FAIR-er than it already is. There is the NFDI in Germany with PUNCH,
ErUM Data, the formation of the DZA, and there are more astro-infrastructure
projects and efforts going on.
Slides from the Splinter Meeting are available.
Program
Tuesday September 16, 14:00-16:30
E-Science / E-Infrastructures / Virtual Observatory / Machine Learning (Schlesisches Museum)
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