The Astrophysical Journal Supplement Series, 236:22 (16pp), 2018 May https://doi.org/10.3847/1538-4365/aab776 © 2018. The American Astronomical Society. All rights reserved. AAS WorldWide Telescope: A Seamless, Cross-platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data Philip Rosenfield1 , Jonathan Fay1 , Ronald K Gilchrist1 , Chenzhou Cui2 , A. David Weigel3 , Thomas Robitaille4 , Oderah Justin Otor1 , and Alyssa Goodman5 1 American Astronomical Society, 1667 K St NW Suite 800, Washington, DC 20006, USA; philip.rosenfi
[email protected] 2 National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, 100012, People’s Republic of China 3 Christenberry Planetarium, Samford University, 800 Lakeshore Drive, Birmingham, AL 35229, USA 4 Aperio Software Ltd., Headingley Enterprise and Arts Centre, Bennett Road, Leeds, LS6 3HN, UK 5 Harvard Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA Received 2017 October 25; revised 2018 January 24; accepted 2018 January 24; published 2018 May 11 Abstract The American Astronomical Society’s WorldWide Telescope (WWT) project enables terabytes of astronomical images, data, and stories to be viewed and shared among researchers, exhibited in science museums, projected into full-dome immersive planetariums and virtual reality headsets, and taught in classrooms, from middle school to college. We review the WWT ecosystem, how WWT has been used in the astronomical community, and comment on future directions.