Kevin Crowston

Crowston, K., & Bolici, F. (2025). Deskilling and upskilling with AI systems. Information Research an International Electronic Journal, 30(iConf), 1009–1023. https://doi.org/10.47989/ir30iConf47143

Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., Hansen, M., Nickerson, J. V., & Chilton, L. B. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In F. F. Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. T. Dugas, & I. Shklovski (Eds.), CHI ’24: CHI Conference on Human Factors in Computing SystemsProceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-20). ACM. https://doi.org/10.1145/3613904.3642868

Fortson, L., Crowston, K., Kloetzer, L., & Ponti, M. (2024). Artificial Intelligence and the Future of Citizen Science. Citizen Science: Theory and Practice, 9(1), 32. https://doi.org/10.5334/cstp.812

Crowston, K., Erickson, I., & Nickerson, J. V. (2024). Editorial: Sharing work with AI: introduction to the special issue on the futures of work in the age of intelligent machines. Information Technology & People, 37(7), 2353-2356. https://doi.org/10.1108/ITP-12-2024-994

Grote, G., Parker, S., & Crowston, K. (2026). Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users. Academy of Management Review, 51(2). https://doi.org/10.5465/amr.2023.0117

Østerlund, C., Crowston, K., Jackson, C. B., Wu, Y., Smith, A. O., & Katsaggelos, A. K. (2024). Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy. Citizen Science: Theory and Practice, 9(1), 42. https://doi.org/10.5334/cstp.738

Crowston, K., & Bolici, F. (2024). Deskilling and upskilling with generative AI systems. In Working paper.

Öcal, A., & Crowston, K. (2024). Framing and feelings on social media: The futures of work and intelligent machines. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049

Borycz, J., Specht, A., & Crowston, K. (2023). Surveys Provide Insight Into Three Factors That Encourage Open Data and Science. Social Science Space. https://www.socialsciencespace.com/2023/09/surveys-provide-insight-into-three-factors-that-encourage-open-data-and-science/

Borycz, J., Specht, A., & Crowston, K. (2023). A decade of surveys on attitudes to data sharing highlights three factors for achieving open science. LSE Impact of Social Science. https://blogs.lse.ac.uk/impactofsocialsciences/2023/08/22/a-decade-of-surveys-on-attitudes-to-data-sharing-highlights-three-factors-for-achieving-open-science/