Zevin, Michael, et al. “Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science”. Classical and Quantum Gravity, vol. 34, 2017, p. 064003, doi:10.1088/1361-6382/aa5cea.
First name
Laura
Last name
Trouille
Jackson, Corey, et al. “Teaching Citizen Scientists to Categorize Glitches Using Machine-Learning-Guided Training”. Computers in Human Behavior, vol. 105, 2020, p. 106198, doi:10.1016/j.chb.2019.106198.
Crowston, Kevin, et al. “Knowledge Tracing to Model Learning in Online Citizen Science Projects”. IEEE Transactions on Learning Technologies, vol. 13, 2020, pp. 123-34, doi:10.1109/TLT.2019.2936480 .
Coughlin, Scott, et al. “Classifying the Unknown: Discovering Novel Gravitational-Wave Detector Glitches Using Similarity Learning”. Physical Review D, vol. 99, no. 8, 2019, p. 082002, doi:10.1103/PhysRevD.99.082002.
Jackson, Corey Brian, et al. “Shifting Forms of Engagement: Volunteer Learning in Online Citizen Science”. Proceedings of the ACM on Human-Computer Interaction, no. CSCW, 2020, p. 36, doi:10.1145/3392841.
Zevin, Michael, et al. “Gravity Spy: Lessons Learned and a Path Forward”. 2024. European Physical Journal Plus, vol. 139, 2024, p. Article 100, doi:10.1140/epjp/s13360-023-04795-4.