Mackenzie, E., Berry, C. P. L., Niklasch, G., Téglás, B., Unsworth, C., Crowston, K., Davis, D., & Katsaggelos, A. (2026). Hunting for New Glitches in LIGO Data Using Community Science. 24th International Conference on General Relativity and Gravitation (GR24) and 16th Edoardo Amaldi Conference on Gravitational Waves (Amaldi16). Journal of Physics: Conference Series, 3177, Article 1. https://doi.org/10.1088/1742-6596/3177/1/012083
Recent citizen science publications
Smith, A. O., Bullard, J., Jackson, C. B., Østerlund, C., & Crowston, K. (2026). Folksonomies in crowdsourcing platforms: A cross-platform comparison. Computer-Supported Cooperative Work, 35(2). https://doi.org/10.1007/s10606-026-09537-5
Aleman, B., & Davis, D. (2026). OmegaNeuron: Applying GravitySpy Similarity Methods to the Search for LIGO Glitch Witnesses. https://arxiv.org/abs/2602.23460
Østerlund, C., & Jackson, C. (2026). Trace Methods: Probing the Apparatus. In B. Wurm & J. Mendling (Eds.), Digital Trace Data Research in Information Systems (pp. 81–105). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-05497-5_5
Wu, Y., Zevin, M., Berry, C., Crowston, K., Østerlund, C., Doctor, Z., Banagiri, S., Jackson, C., Kalogera, V., & Katsaggelos, A. (2025). Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO’s Fourth Observing Run. Classical and Quantum Gravity. https://doi.org/10.1088/1361-6382/adf58b