Galaxy Zoo: Morphological Classification and Citizen Science

Astronomy and Astrophysics – Astrophysics – Instrumentation and Methods for Astrophysics

Scientific paper

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11 pages, 1 figure; to be published in Advances in Machine Learning and Data Mining for Astronomy

Scientific paper

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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