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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
PDF icon RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)
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Crowston, K., & Bolici, F.. (2020). Impacts of Machine Learning on Work Design. Syracuse, NY: Syracuse University School of Information Studies.
PDF icon Impact of machine learning on work.pdf (604.31 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)
Crowston, K. (2020). Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.
PDF icon Everyday_automation camera ready.pdf (421.84 KB)
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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). Retrieved de http://hdl.handle.net/10125/59538
PDF icon hicss52a-sub2136-cam-i8-2.pdf (202.19 KB)
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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). Retrieved de http://hdl.handle.net/10125/59549
PDF icon modularity-HICSS-final-afterReview.pdf (242.49 KB)
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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). Retrieved de http://hdl.handle.net/10125/60031
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
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Dalgali, A., & Crowston, K.. (2019). Sharing open deep learning models. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved de http://hdl.handle.net/10125/59650
PDF icon Hicss paper2018_DalgaliCrowston.pdf (669.11 KB)

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