The Next Decade of Astroinformatics and Astrostatistics
by Aneta Siemiginowska, Gwendolyn Eadie, Ian Czekala, Eric Feigelson, Eric B. Ford, Vinay Kashyap, Michael Kuhn, Tom Loredo, Michelle Ntampaka, Abbie Stevens, Arturo Avelino, Kirk Borne, Tamas Budavari, Blakesley Burkhart, Jessi Cisewski-Kehe, Francesca Civano, Igor Chilingarian, David A. van Dyk, Giuseppina Fabbiano, Douglas P. Finkbeiner, Daniel Foreman-Mackey, Peter Freeman, Antonella Fruscione, Alyssa A. Goodman, Matthew Graham, Hans Moritz Guenther, Jon Hakkila, Lars Hernquist, Daniela Huppenkothen, David J. James, Casey Law, Joseph Lazio, Thomas Lee, Mercedes López-Morales, Ashish A. Mahabal, Kaisey Mandel, Xiao-Li Meng, John Moustakas, Demitri Muna, J. E. G. Peek, Gordon Richards, Stephen K.N. Portillo, Jeff Scargle, Rafael S. de Souza, Joshua S. Speagle, Keivan G. Stassun, David C. Stenning, Stephen R. Taylor, Grant R. Tremblay, Virginia Trimble, Padma A. Yanamandra-Fisher, and C. Alex Young
Published onMay 31, 2019
The Next Decade of Astroinformatics and Astrostatistics
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Abstract
Over the past century, major advances in astronomy and astrophysics have been driven by improvements in instrumentation. With the amassing of high quality data from new telescopes it is becoming clear that research in astrostatistics and astroinformatics will be necessary to develop new methodology needed in astronomy.
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