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Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
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Choudhury, P., Crowston, K., Dahlander, L., Minervini, M. S., & Raghuram, S.. (2020). GitLab: Work where you want, when you want. Journal Of Organizational Design, 9(1), 23. https://doi.org/10.1186/s41469-020-00087-8
PDF icon s41469-020-00087-8.pdf (1.14 MB)
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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
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Østerlund, C., Crowston, K., Jackson, C. B., Takou-Ayaoh, M., Wu, Y., & Katsaggelos, A. K.. (2024). Mutual learning in human-AI interaction. In Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference. Presented at the Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, Honolulu, HI.
PDF icon TREW_Workshop_Paper_2024.pdf (392.26 KB)