• Bullard, Julia, et al. “Folksonomies in Crowdsourcing Platforms: Three Tensions Associated With the Development of Shared Language in Distributed Groups”. The European Conference on Computer-Supported Cooperative Work (ECSCW), 2024, doi:10.48340/ecscw2024_n06.
  • Østerlund, Carsten, et al. “Supporting and Augmenting Human and Machine Learning in Citizen Science: Lessons from Gravity Spy”. 2024. Citizen Science: Theory and Practice, vol. 9, no. 1, 2024, p. 42, doi:10.5334/cstp.738.
  • Crowston, Kevin, et al. “Editorial: Sharing Work With AI: Introduction to the Special Issue on the Futures of Work in the Age of Intelligent Machines”. 2024. Information Technology & People, vol. 37, no. 7, 2024, pp. 2353-6, doi:10.1108/ITP-12-2024-994.
  • Fortson, Lucy, et al. “Artificial Intelligence and the Future of Citizen Science”. 2024. Citizen Science: Theory and Practice, vol. 9, no. 1, 2024, p. 32, doi:10.5334/cstp.812.
  • Crowston, Kevin, and Francesco Bolici. “Deskilling and Upskilling With Generative AI Systems”. Working Paper, 2024.
  • Wang, Sitong, et al. “ReelFramer: Human-AI Co-Creation for News-to-Video Translation”. CHI ’24: CHI Conference on Human Factors in Computing SystemsProceedings of the CHI Conference on Human Factors in Computing Systems, edited by Florian Floyd Mueller et al., ACM, 2024, pp. 1-20, doi:10.1145/3613904.3642868.
  • 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.
  • 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.
  • Petridis, Savvas, et al. “AngleKindling: Supporting Journalistic Angle Ideation With Large Language Models”. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, doi:10.1145/3544548.3580907.
  • Borycz, Joshua, et al. “Perceived Benefits of Open Data Are Improving But Scientists Still Lack Resources, Skills, and Rewards”. 2023. Humanities and Social Sciences Communications, vol. 10, no. 1, 2023, doi:10.1057/s41599-023-01831-7.