@article {2017,
	title = {Gravity Spy: Humans, machines and the future of citizen science},
	year = {2017},
	address = {Portland, OR},
	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 {\textquotedblleft}glitches{\textquotedblright} 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 human-centred computing research on motivation, learning and collaboration. The system has been launched and is currently in operation.},
	doi = {10.1145/3022198.3026329},
	attachments = {https://crowston.syr.edu./sites/crowston.syr.edu/files/cpa137-crowstonA.pdf},
	author = {Kevin Crowston and The Gravity Spy Team}
}
