Kevin Crowston

Crowston, K., & Bolici, F. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. ACM. https://doi.org/10.1145/3406499.3415070

Jackson, C. B., Østerlund, C., Harandi, M., Kharwar, D., & Crowston, K. (2019). Linguistic adoption in online citizen science: A structurational perspective. In International Conference on Information Systems. https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/

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.