Kevin Crowston

Coughlin, S., Bahaadini, S., Rohani, N., Zevin, M., Patane, O., Harandi, M., Jackson, C. B., Noroozi, V., Allen, S., Areeda, J., Coughlin, M., Ruiz, P., Berry, C. P. L., Crowston, K., Katsaggelos, A., Lundgren, A., Østerlund, C., Smith, J., Trouille, L., & Kalogera, V. (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002

You, S., Crowston, K., Saltz, J., & Hegde, Y. (2021). Companies, Code, and Coordination: An Actor-Network Analysis of OSS 2.0. Syracuse University School of Information Studies.

Dalgali, A., & Crowston, K. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018

Crowston, K., & Rezgui, A. (2020). Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.287

Hall, K. L., Vogel, A. L., & Crowston, K. (2019). Comprehensive collaboration plans: Practical considerations spanning across individual collaborators to institutional supports. In K. L. Hall, A. L. Vogel, & R. T. Croyle (Eds.), Strategies for Team Science Success (pp. 587-611). Springer International Publishing. https://doi.org/10.1007/978-3-030-20992-6_45

Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings of the ACM on Human-Computer Interaction, CSCW, 36. https://doi.org/10.1145/3392841

Crowston, K., & Squire, M. (2017). Lessons Learned from a Decade of FLOSS Data Collection. In S. A. Matei, N. Jullien, & S. P. Goggins (Eds.), Big Data Factories (pp. 79-100). Springer International Publishing. https://doi.org/10.1007/978-3-319-59186-5

Ekbia, H., Erickson, I., Crowston, K., & Watkins, E. A. Machine Behavior?: A CHI-Perspective Panel on the Methodological Challenges Posed by Intelligent Machines.

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. Automation Experience across Domains (AutomationXP20), CHI’20 Workshop, 26 April 2020, Virtual.

Østerlund, C., Jackson, C. B., Harandi, M., & Crowston, K. (2020). Folksonomies in Crowdsourcing Platforms: Three Tensions Associated with the Development of Shared Language in Distributed Groups.