Kevin Crowston

Ebel, P., Söllner, M., Leimeister, J. M., Crowston, K., & de Vreede, G.-J. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4

Dalgali, A., & Crowston, K. (2021). The Impacts of Automation on Journalists.

Dolata, M., & Crowston, K. (2022). The emerging of sense in complex systems development: The case of cognitive computing.

Soni, S., Berry, C. P. L., Coughlin, S. B., Harandi, M., Jackson, C. B., Crowston, K., Østerlund, C., Patane, O., Katsaggelos, A. K., Trouille, L., Baranowski, V.-G., Domainko, W. F., Kaminski, K., Rodriguez, M. A. L., Marciniak, U., Nauta, P., Niklasch, G., Rote, R. R., Téglás, B., … Zhang, C. (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical and Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb

Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S. (2020). GitLab: Work where you want, when you want. Journal of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8

Saltz, J., Crowston, K., Heckman, R., & Hegde, Y. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal of Information Systems and Project Management, 8(3). https://doi.org/10.12821/ijispm080301

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., 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., & 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

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