Splinter Meeting EScience
EScience, Machine Learning and Virtual Observatory
Time: Tuesday September 12, 14:00-16:30
and Thursday September 14, 14:00-15:45
and 16:15-18:00
CEST (UTC+2)
Room: H 3005
Convenor(s): Harry Enke [1], Kai Polsterer [2], Markus Demleitner [3],
[1] AIP, [2] HITS, [3] ARI-Uni Hd
This splinter meeting is dedicated to standard infrastructures for data dissemination and analysis, with an extra focus on Machine Learning as a particular data-hungry field with high relevance to essentially all areas of astronomy. We welcome contributions on applying existing and emerging technologies as well as reports from the frontiers of federating information systems to facilitate astronomical research.
A focus of one session in the year's splinter meeting will be software sustainability, which always has to balance legacy support and cutting edge development, has to avoid breaking established workflows while enabling new ones. Again, we welcome both talks on best practices and cautionary tales.
Another session will address progress on making astronomical data even FAIR-er than it already is in the context of the various projects addressing this (PUNCH, EOSC, IVOA).
Finally, a session will be dedicated to applying cutting-edge methods of Machine Learning to astronomy. Naturally, these
applications often come with special requirements or structural demands on
data and computing infrastructure, which are of special interest here.
Further information and presentations: https://escience.aip.de/ag2023
Program
Tuesday September 12, 14:00-16:30
EScience, Machine Learning and Virtual Observatory (H 3005)
Thursday September 14, 14:00-15:45
EScience, Machine Learning and Virtual Observatory (H 3005)
Thursday September 14, 16:15-18:00
EScience, Machine Learning and Virtual Observatory (H 3005)
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