Building cutting edge telescopes like the 6.5 meter Magellan instruments now requires pooling resources across the astronomical community rather than working alone. Blanton argues that astronomy is sitting on an enormous pile of data, and that the next frontier is what he calls astronomical data science, spanning telescope software, data reduction pipelines, machine learning, and AI applied to astronomical data. He says he wants Carnegie Observatories to build a strong position in this area.
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22:46at Magellan as well. The 6 and 1/2 meters is, I think you have to be working with other other parts of the community to build the things that are cutting edge. You don't do it alone anymore. So, that that's one aspect. I think there's another aspect which is that I really think that you know we are sitting on a pile of data. It's a huge pile of data and and facilities that you know that can create them and I think that there there's a lot of work in uh you know I sort of think of it as astronomical data science but that would
23:27include everything from from soft you know telescope software to to you know data reduction software to machine learning to you know AI applied to to to the data like I think that that is something where I think Carnegie should have like a really strong position in and so that that's something I would really like to to see happen. um >> Yeah, do you have a do you have any
AstronomyAstrophysicsOpen DataCosmology