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C

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., et al.. (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002

D

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., et al.. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., et al.. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb

G

Crowston, K., & The Gravity Spy Team. (2017). Gravity Spy: Humans, machines and the future of citizen science. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026329

cpa137-crowstonA.pdf (1.26 MB)

Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea

Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4

Zevin, M., Jackson, C. B., Doctor, Z., Wu, Y., Østerlund, C., L. Johnson, C., et al.. (2024). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4

K

Crowston, K., Østerlund, C., Lee, T. Kyoung, Jackson, C. B., Harandi, M., Allen, S., et al.. (2020). Knowledge Tracing to Model Learning in Online Citizen Science Projects. Ieee Transactions On Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480

transaction paper final figures in text.pdf (1.39 MB)

M

Østerlund, C., Crowston, K., Jackson, C. B., Takou-Ayaoh, M., Wu, Y., & Katsaggelos, A. K.. (2024). Mutual learning in human-AI interaction. In Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference. Presented at the Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, Honolulu, HI.

TREW_Workshop_Paper_2024.pdf (392.26 KB)

S

Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L.. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings Of The Acm On Human-Computer Interaction, (CSCW), 36. https://doi.org/10.1145/3392841

3392841.pdf (1.13 MB)

T

Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198

MLGT-preprint.pdf (2.43 MB)