Kevin Crowston

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

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

Saltz, J., Crowston, K., Heckman, R., & Hegde, Y. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal of Information Systems and Project Management, 8(3). https://doi.org/10.12821/ijispm080301

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

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

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