Kevin Crowston

Harandi, M., Crowston, K., Jackson, C., & Østerlund, C. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719

Crowston, K., Østerlund, C., Lee, T. K., Jackson, C. B., Harandi, M., Allen, S., Bahaadini, S., Coughlin, S., Katsaggelos, A., Larson, S., Rohani, N., Smith, J., Trouille, L., & Zevin, M. (2020). Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Transactions on Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480

Harandi, M., Crowston, K., Jackson, C. B., & Østerlund, C. (2018). Perceptions of Machine Learning: The genie in the bottle.

Eseryel, Y., Wei, K., & Crowston, K. (2020). Decision-Making Processes in Community-based Free/Libre Open Source Software Development Teams with Internal Governance: An Extension to Decision-Making Theory. Communications of the Association for Information Systems, 46. https://doi.org/10.17705/1CAIS.04620

Wei, K., Eseryel, Y., & Crowston, K. (2021). Participation in Community-Based Free/Libre Open Source Software Development Tasks: The Impact of Task Characteristics. Internet Research, 31(4), 1177-1202. https://doi.org/10.1108/INTR-03-2020-0112

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

Rezgui, A., Crowston, K., & Jullien, N. (2019). The impact of initial group characteristics on quality in online communities of creation.

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