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.
Glanzer, J, et al. “Data Quality up to the Third Observing Run of Advanced LIGO: Gravity Spy Glitch Classifications”. Classical and Quantum Gravity, vol. 40, no. 6, 2023, doi:10.1088/1361-6382/acb633.
Crowston, Kevin, et al. “Design Principles for Background Knowledge to Enhance Learning in Citizen Science”. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, IConference, 2023, pp. 563–580, doi:10.1007/978-3-031-28032-0_43.
Shanley, Lea A., et al. “Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research”. A Computing Community Consortium (CCC) Quadrennial Paper, Computing Community Consortium (CCC), 2021, https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf.
Soni, S, et al. “Discovering Features in Gravitational-Wave Data through Detector Characterization, Citizen Science and Machine Learning”. Classical and Quantum Gravity, vol. 38, no. 19, 2021, doi:10.1088/1361-6382/ac1ccb.
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 .
Harandi, Mahboobeh, et al. “The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.719 .
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.
Østerlund, Carsten, et al. “Building an Apparatus: Refractive, Reflective and Diffractive Readings of Trace Data”. Journal of the Association for Information Systems, vol. 21, no. 1, 2020, p. Article 10, doi:10.17705/1jais.00590 .
Jackson, Corey Brian. Motivating Participation through Novelty Cues. 2020.