Kevin Crowston

Crowston, K., Howison, J., Bolici, F., & Østerlund, C. (2017). Work features to support stigmergic coordination in distributed teams. In Academy of Management Annual Meeting.

Jackson, C. B., Oesterlund, C., Crowston, K., Harandi, M., & Team, T. G. S. (2017). Supporting Crowd Workers: Assembling Resources in Online Citizen Science Projects. In Syracuse University School of Information Studies.

Jarrahi, M. H., Crowston, K., Bondar, K., & Katzy, B. (2017). A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT. International Journal of Information Management, 37(6), 566-575. https://doi.org/10.1016/j.ijinfomgt.2017.05.016

Lee, T. K., Crowston, K., Harandi, M., Østerlund, C., & Miller, G. (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal of Science Communication, 17. https://doi.org/10.22323/2.17010202

Qin, J., Crowston, K., & Kirkland, A. (2017). Pursuing best performance in research data management by using the Capability Maturity Model and rubrics. Journal of EScience Librarianship, 6(2), e1113. https://doi.org/10.7191/jeslib.2017.1113

Crowston, K., Mitchell, E. M., & Østerlund, C. (2018). Coordinating advanced crowd work: Extending citizen science. In Hawai’i International Conference on System Sciences (51st ed.). https://doi.org/10.24251/HICSS.2018.212

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

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

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