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.
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.
Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Kalogera, V., Katsaggelos, A., Larson, S., Rohani, N., Smith, J., Trouille, L., & Zevin, M. (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers in Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
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
Crowston, K., Mitchell, E. M., & Østerlund, C. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory and Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
Crowston, K., & Bolici, F. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
Dalgali, A., & Crowston, K. (2019). Sharing open deep learning models. In Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.256
Dolata, M., Schwabe, G., & Crowston, K. (2019). Getting your data refinery ready to work: Insights from cognitive application development projects.
Østerlund, C., & Crowston, K. (2019). Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately? Journal of the American Society for Information Science and Technology, 70(6), 619–633. https://doi.org/10.1002/asi.24152