Many new modern technologies have been developed for dealing with data analysis issues in the age of `Big Data'. These include tools and software designed for specific applications, such as for the Zwicky Transient Facility (ZTF), the Large Synoptic Survey Telescope (LSST), and the newly released data from Gaia, TESS and Kepler, or others focusing on specific issues in spatial-, spectral- and time-domains. However, key challenges for the community remain: (1) to raise the awareness of astronomers to existing opportunities, and (2) to find the right software for application to particular problems.
We will hold a panel discussion to address these challenges and highlight the use of appropriate statistics-aware tools. Our panel will consist of scientists involved in development of the methods, tools and open source software and will comprise of members of the Astropy project, DIRAC Institute, MAST, LSST and ZTF.
The panelists are:
The session will begin with brief statements by each panelist, followed by an hour-long discussion. We will close with a Poster Haiku of selected contributions associated with the Machine Learning Special Session and other topics of interest to AstroStatistics and AstroInformatics.
This proposal originates from the AAS Working Group on Astroinformatics and Astrostatistics (WGAA) We have organized many well attended sessions at the past AAS meetings. Interest in the community in advanced/applied statistical methods has been increasing steadily over the last decade as indicated by workshops and focused meetings on the analysis of astronomical data.
Aneta Siemiginowska (asiemiginowska @ cfa . harvard . edu) Ashish Mahabal (aam @ astro . caltech . edu) Vinay Kashyap (vkashyap @ cfa . harvard . edu)