[ASA] FW: IAU Symposium 368: ML in Astronomy: Possibilities and Pitfalls

[Tara Murphy]

Dear colleagues,

forwarding information about this meeting for those who might be interested,

Tara

--
PROFESSOR TARA MURPHY | Deputy Head of School
Sydney Institute for Astronomy | School of Physics | Faculty of Science

THE UNIVERSITY OF SYDNEY
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E tara.murphy at sydney.edu.au<mailto:tara.murphy at sydney.edu.au>

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From: IAU Commission B3 President <no-reply at iau.org>
Reply to: Ashish Mahabal <aam at astro.caltech.edu>
Date: Saturday, 26 February 2022 at 12:41 am
To: Tara Murphy <tara.murphy at sydney.edu.au>
Subject: IAU Symposium 368: ML in Astronomy: Possibilities and Pitfalls

Dear colleagues,


IAU Symposium 368: Machine Learning in Astronomy: Possibilities and Pitfalls will take place from Aug 2 (Tue) to Aug 4 (Thu), 2022, in Busan, Republic of Korea. The intent of the meeting is to promote best practices for leveraging machine learning in astronomy research. We will have reviews, panel discussion, tutorials, and various opportunities for discussions, along with the usual talks and posters. The symposium is part of the 31st IAU General Assembly (Aug 2-11, 2022).


We would like to invite you to the conference. There are many slots available for contributed talks. Posters are also welcome. Attendees will need to register online for an “in-person” slot (even if you wish to attend virtually). As per the current status, only up to 20% speakers can be remote. The IAU will decide on possibly 50% speakers being remote, or on fully hybrid mode in May depending on the situation.


There are some opportunities to obtain funding for travel from the IAU and KAS.


The early bird registration deadline is 28 February 2022. More details can be found at: https://protect-au.mimecast.com/s/Ma-wCgZ0N1iAMnz99C2SwEc?domain=sites.astro.caltech.edu<https://protect-au.mimecast.com/s/Ma-wCgZ0N1iAMnz99C2SwEc?domain=sites.astro.caltech.edu>.


Regards,
Ashish Mahabal
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