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

Eseryel, Y., Crowston, K., & Heckman, R. (2021). Functional and Visionary Leadership in Self-Managing Virtual Teams. Group & Organization Management, 46(2), 424–460. https://doi.org/10.1177/1059601120955034

Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. Automation Experience across Domains (AutomationXP20), CHI’20 Workshop, 26 April 2020, Virtual.

Dalgali, A., & Crowston, K. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018

Crowston, K., & Rezgui, A. (2020). Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai’i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.287

Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings of the ACM on Human-Computer Interaction, CSCW, 36. https://doi.org/10.1145/3392841

Ekbia, H., Erickson, I., Crowston, K., & Watkins, E. A. Machine Behavior?: A CHI-Perspective Panel on the Methodological Challenges Posed by Intelligent Machines.

Qin, J., Crowston, K., & Kirkland, A. (2014). A Capability Maturity Model for Research Data Management. Syracuse University School of Information Studies. https://surface.syr.edu/istpub/184/

Crowston, K., Saltz, J., Sitaula, N., & Hegde, Y. (2021). Evaluating MIDST, a system to support stigmergic team coordination. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), Article 36. https://doi.org/10.1145/3449110