Kevin Crowston

Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., Nickerson, J. V., & Chilton, L. B. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907

Glanzer, J., Banagiri, S., Coughlin, S. B., Soni, S., Zevin, M., Berry, C. P. L., Patane, O., Bahaadini, S., Rohani, N., Crowston, K., & Østerlund, C. (2023). Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications. Classical and Quantum Gravity, 40(6). https://doi.org/10.1088/1361-6382/acb633

Crowston, K., Jackson, C. B., Corieri, I., & Østerlund, C. (2023). Design principles for background knowledge to enhance learning in citizen science. In Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, iConference (pp. 563–580). https://doi.org/10.1007/978-3-031-28032-0_43

Shanley, L. A., Fortson, L., Berger-Wolf, T., Crowston, K., & Michelucci, P. (2021). Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. In A Computing Community Consortium (CCC) Quadrennial Paper. Computing Community Consortium (CCC). https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf

Specht, A., & Crowston, K. (2022). Interdisciplinary collaboration from diverse science teams can produce significant outcomes. PLoS ONE, 17(11). https://doi.org/10.1371/journal.pone.0278043

Dolata, M., Crowston, K., & Schwabe, G. (2022). Project archetypes: A blessing and a curse for AI development. International Conference on Information Systems (ICIS). https://aisel.aisnet.org/icis2022/is_design/is_design/6

Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S. (2020). GitLab: Work where you want, when you want. Journal of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8

Dolata, M., & Crowston, K. (2022). The emerging of sense in complex systems development: The case of cognitive computing.

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., Østerlund, C., Patane, O., Katsaggelos, A. K., Trouille, L., Baranowski, V.-G., Domainko, W. F., Kaminski, K., Rodriguez, M. A. L., Marciniak, U., Nauta, P., Niklasch, G., Rote, R. R., Téglás, B., … Zhang, C. (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

Dalgali, A., & Crowston, K. (2021). The Impacts of Automation on Journalists.