First name
Kevin
Last name
Crowston
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
Jackson, C. B., Crowston, K., & Østerlund, C. (2018). Did they login? Patterns of anonymous contributions to online communities. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW). https://doi.org/10.1145/3274346
Hall, K. L., Crowston, K., & Vogel, A. L. (2014). How to Write a Collaboration Plan. In Team Science Toolkit. National Cancer Institute. https://www.teamsciencetoolkit.cancer.gov/Public/TSResourceBiblio.aspx?tid=3&rid=3119
Rezgui, A., Crowston, K., & Jullien, N. (2018). Life-cycle Changes in Modes of Coordination in Wikipedia Articles.
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
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
Dolata, M., Schwabe, G., & Crowston, K. (2019). Getting your data refinery ready to work: Insights from cognitive application development projects.
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
You, S., Crowston, K., Saltz, J., & Hegde, Y. (2019). Coordination in OSS 2.0: ANT Approach. In Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.120
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