Papers

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2020
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)
2017
Crowston, K., & Squire, M.. (2017). Lessons Learned from a Decade of FLOSS Data Collection. In S. Adam Matei, Jullien, N., & Goggins, S. P. (Eds.), Big Data Factories (pp. 79 - 100). https://doi.org/10.1007/978-3-319-59186-5
Crowston, K. (2017). Levels of trace data for social and behavioural science research. In S. Matei, Goggins, S., & Jullien, N. (Eds.), Big Data Factories: Collaborative Approaches. https://doi.org/10.1007/978-3-319-59186-5_4
PDF icon 160529 levels book chapter.pdf (160.85 KB)
2006
Li, Q., Crowston, K., Heckman, R., & Howison, J.. (2006). Language and power in self-organizing distributed teams. In OCIS Division, Academy of Management Conference. Presented at the OCIS Division, Academy of Management Conference, Atlanta, GA.
PDF icon LanguageAndPowerInSelf-organizing.pdf (863.7 KB)