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.
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
Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y. (2019). Helping data science students develop task modularity. In Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.134
Crowston, K., Saltz, J., Rezgui, A., Hegde, Y., & You, S. (2019). Socio-technical affordances for stigmergic coordination implemented in MIDST, a tool for data-science teams. Proceedings of the ACM , 3(CSCW), Article 117. https://doi.org/10.1145/3359219
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
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/
Rezgui, A., Crowston, K., & Jullien, N. (2019). The impact of initial group characteristics on quality in online communities of creation.
Crowston, K., & Fagnot, I. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal of Human-Computer Studies, 109. https://doi.org/10.1016/j.ijhcs.2017.08.005