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
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
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
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
Dalgali, A., & Crowston, K. (2020). Algorithmic Journalism and Its Impacts on Work. Computation + Journalism Symposium . https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf
Østerlund, C., Jackson, C. B., Harandi, M., & Crowston, K. (2020). Folksonomies in Crowdsourcing Platforms: Three Tensions Associated with the Development of Shared Language in Distributed Groups.
Østerlund, C., Crowston, K., & Jackson, C. B. (2020). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal of the Association for Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590
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
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