Work

Galaxy Zoo: Morphological Classification and Citizen Science

Year: 2011

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1104.5513

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

Institutions: University of Minnesota, University of Portsmouth, George Mason University, Adler Planetarium, University of Oxford, Johns Hopkins University, Yale University, Middle Tennessee State University

Language: English

Topic: Galaxies: Formation, Evolution, Phenomena

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1542401993

Cites: 5

Cited by: 57

Related to: 20