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
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.
In text/plain
format
Archived Files and Locations
application/pdf 4.0 MB
file_m5wl6ali6vbpfcn5hmpojapaay
|
archive.org (archive) |
1104.5513v1
access all versions, variants, and formats of this works (eg, pre-prints)