Galaxy Zoo: Morphological Classification and Citizen Science release_sjd77jn7k5hh7enw2xvllvmy7m

by Lucy Fortson, Karen Masters, Robert Nichol, Kirk Borne, Edd Edmondson, Chris Lintott, Jordan Raddick, Kevin Schawinski, John Wallin

Released as a article .

2011  

Abstract

We provide a brief overview of the Galaxy Zoo and Zooniverse projects, including a short discussion of the history of, and motivation for, these projects as well as reviewing the science these innovative internet-based citizen science projects have produced so far. We briefly describe the method of applying en-masse human pattern recognition capabilities to complex data in data-intensive research. We also provide a discussion of the lessons learned from developing and running these community--based projects including thoughts on future applications of this methodology. This review is intended to give the reader a quick and simple introduction to the Zooniverse.
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Type  article
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Date   2011-04-28
Version   v1
Language   en ?
arXiv  1104.5513v1
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