Papers

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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)
PDF icon Emergent Decision Making Practices In Technology Supported Self O.pdf (360.42 KB)
Heckman, R., Crowston, K., Eseryel, Y., Howison, J., Allen, E. E., & Li, Q.. (2007). Emergent decision-making practices in Free/Libre Open Source Software FLOSS development teams. In Proceedings of the IFIP 3rd International Conference on Open Source Software.
PDF icon 20070320 OSS Conference_v15_final submitted.pdf (178.87 KB)
Heckman, R., Crowston, K., Misiolek, N., & Eseryel, Y.. (2007). Emergent leadership in self-organizing virtual teams (Poster). In Proceedings of the International Conference on Information Systems (ICIS).
PDF icon 20081204 ICIS Poster_v.5.1.pdf (2.31 MB)
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)
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)
PDF icon How to write a collaboration plan _Working Draft 2014_1122.pdf (140.27 KB)
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
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Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
PDF icon icis_archetypes_rev1_v20_zora.pdf (433.37 KB)
Dolata, M., & Crowston, K.. (2024). Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857
PDF icon sensemaking_tse_to_share.pdf (619.73 KB)
Dellarocas, C., Lee, J., Malone, T. W., Crowston, K., & Pentland, B.. (1994). Using a Process Handbook to design organizational processes. In Computational Organization Design: 1994 AAAI Spring Symposium (55-56). AAAI Press.
Dalgali, A., & Crowston, K.. (2019). Sharing open deep learning models. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.256
PDF icon Hicss paper2018_DalgaliCrowston.pdf (669.11 KB)
Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
PDF icon HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)
Dalgali, A., & Crowston, K.. (2020). Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf
PDF icon CJ_2020_paper_26.pdf (1.24 MB)

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