@inproceedings{ee0405a8b0624997ba70a465356c4c04,
title = "Gravity spy: Humans, machines and the future of citizen science",
abstract = "Gravity Spy is a citizen science project that draws on the contributions of both humans and machines to achieve its scientific goals. The system supports the Laser Interferometer Gravitational Observatory (LIGO) by classifying {"}glitches{"} that interfere with observations. The system makes three advances on the current state of the art: explicit training for new volunteers, synergy between machine and human classification and support for discovery of new classes of glitch. As well, it provides a platform for humancentred computing research on motivation, learning and collaboration. The system has been launched and is currently in operation.",
keywords = "Citizen science, Learning, Machine learning, Training",
author = "Kevin Crowston",
year = "2017",
month = feb,
day = "25",
doi = "10.1145/3022198.3026329",
language = "English (US)",
series = "CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "163--166",
booktitle = "CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing",
note = "2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, CSCW 2017 ; Conference date: 25-02-2017 Through 01-03-2017",
}