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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).
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.
PDF icon s41469-020-00087-8.pdf (1.14 MB)
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.
Borycz, J., Olendorf, R., Specht, A., Grant, B., Crowston, K., Tenopir, C., et al.. (2023). Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards. Humanities And Social Sciences Communications, 10(1).
Bullard, J., Crowston, K., Jackson, C. B., Smith, A. O., & Østerlund, C.. (2024). Folksonomies in crowdsourcing platforms: Three tensions associated with the development of shared language in distributed groups. In The European Conference on Computer-Supported Cooperative Work (ECSCW).
PDF icon ECSCW2024_Folksonomy_Crowdsourcing__Final_.pdf (1.59 MB)
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)