Publications by Author: Wong, Curtis

2012
Goodman A, Fay J, Muench A, Pepe A, Udomprasert P, Wong C. WorldWide Telescope in Research and Education. In: Egret D, Gabriel C ADASS XXI. San Francisco: Astronomical Society of the Pacific ; 2012. pp. tba. Publisher's VersionAbstract

The WorldWide Telescope computer program, released to researchers
and the public as a free resource in 2008 by Microsoft Research, has changed the way
the ever-growing Universe of online astronomical data is viewed and understood. The
WWT program can be thought of as a scriptable, interactive, richly visual browser of
the multi-wavelength Sky as we see it from Earth, and of the Universe as we would
travel within it. In its web API format, WWT is being used as a service to display professional
research data. In its desktop format, WWT works in concert (thanks to SAMP
and other IVOA standards) with more traditional research applications such as ds9, Aladin
and TOPCAT. The WWT Ambassadors Program (founded in 2009) recruits and
trains astrophysically-literate volunteers (including retirees) who use WWT as a teaching
tool in online, classroom, and informal educational settings. Early quantitative
studies of WWTA indicate that student experiences with WWT enhance science learning
dramatically. Thanks to the wealth of data it can access, and the growing number
of services to which it connects, WWT is now a key linking technology in the Seamless
Astronomy environment we seek to oer researchers, teachers, and students alike.

2009
Goodman AA, Wong C. Bringing the Night Sky Closer: Discoveries in the Data Deluge. In: The Fourth Paradigm: Data-Intensive Scientific Discovery. ; 2009. Publisher's VersionAbstract
Throughout history, astronomers have been accustomed to data falling from the sky. But our relatively newfound ability to store the sky's data in "clouds" offers us fascinating new ways to access, distribute, use, and analyze data, both in research and in education. Here we consider three interrelated questions: (1) What trends have we seen, and will soon see, in the growth of image and data collection from telescopes? (2) How might we address the growing challenge of finding the proverbial needle in the haystack of this data to facilitate scientific discovery? (3) What visualization and analytic opportunities does the future hold?