Papers

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2022
Henderson, K., Raheja, R., & Crowston, K.. (2022). Communicating with the masses from isolation: What happened when local television journalists worked from home. In Hawai'i International Conference on System Sciences. Presented at the Hawai'i International Conference on System Sciences, Virtual due to COVID. https://doi.org/10.24251/HICSS.2022.858
PDF icon Journalists work from home_HICSS Version_Final Submission_Unlinked.pdf (221.34 KB)
2021
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
PDF icon CSCW_2020_MIDST_paper_final.pdf (1.42 MB)
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
PDF icon 1059601120955034.pdf (947.47 KB)
Harandi, M. (2021). Occasional Groups in Crowdsourcing Platforms. In School of Information Studies. Syracuse University, Syracuse, NY, USA.
PDF icon Dissertation_MH.pdf (3.92 MB)
2020
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
PDF icon Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)
Crowston, K., Østerlund, C., Lee, T. Kyoung, Jackson, C. B., Harandi, M., Allen, S., et al.. (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
PDF icon transaction paper final figures in text.pdf (1.39 MB)
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., 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
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
PDF icon 3392841.pdf (1.13 MB)
Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
PDF icon MLGT-preprint.pdf (2.43 MB)
2019
Hall, K. L., Vogel, A. L., & Crowston, K.. (2019). Comprehensive collaboration plans: Practical considerations spanning across individual collaborators to institutional supports. In K. L. Hall, Vogel, A. L., & Croyle, R. T. (Eds.), Strategies for Team Science Success (pp. 587-611). https://doi.org/10.1007/978-3-030-20992-6_45
Hall, K. L., Vogel, A. L., & Crowston, K.. (2019). Comprehensive collaboration plans: Practical considerations spanning across individual collaborators to institutional supports. In K. L. Hall, Vogel, A. L., & Croyle, R. T. (Eds.), Strategies for Team Science Success (pp. 587-611). https://doi.org/10.1007/978-3-030-20992-6_45
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
PDF icon hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)
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
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
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
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
PDF icon Linguistic Adoption (ICIS) final.pdf (3.07 MB)
PDF icon cscw117-crowstonA.pdf (1.02 MB)

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