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Published in:
Foundations in Human Computation Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Human Computation in Citizen Science

Authors : Chris Lintott, Jason Reed

Published in: Handbook of Human Computation

Publisher: Springer New York

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Abstract

The increasing volume and variety of scientific data sets has produced a need for serious engagement with human computation. These citizen science efforts, which include disciplines as diverse as astronomy and zoology, are reviewed with a particular focus on Galaxy Zoo and the Zooniverse platform that grew from it. The key advantages of this approach—scalability, serendipity and the ability to inform machine learning—are demonstrated and the likely motivations of citizen scientists discussed. As datasets continue to grow in size, we argue that an increased focus on efficiency will be needed, but such an approach needs to carefully account for the likely effect on both motivation and on opportunities for learning.

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previous chapter Knowledge Engineering via Human Computation
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Metadata
Title
Human Computation in Citizen Science
Authors
Chris Lintott
Jason Reed
Copyright Year
2013
Publisher
Springer New York
Book
Handbook of Human Computation

Print ISBN: 978-1-4614-8805-7

Electronic ISBN: 978-1-4614-8806-4

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-8806-4_14

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