Kevin Crowston

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

Sandusky, R. J., Allard, S., Baird, L., Cannon, L., Crowston, K., Forrester, A., Grant, B., Hu, R., Olendorf, R., Pollock, D., Specht, A., Tenopir, C., & Volentine, R. (2021). Assessment, Usability, and Sociocultural Impacts of DataONE: A Global Research Data Cyberinfrastructure Initiative. International Journal of Digital Curation, 16(1). https://doi.org/10.2218/ijdc.v16i1.678

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

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

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

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

Dolata, M., Schwabe, G., & Crowston, K. (2019). Getting your data refinery ready to work: Insights from cognitive application development projects.