Papers

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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)
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)
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Curty, R. G., Crowston, K., Specht, A., Grant, B., & Walton, E. D.. (2017). Attitudes and norms affecting scientists’ data reuse. Plos One, 12(12). https://doi.org/10.1371/journal.pone.0189288
PDF icon PONE to share.pdf (1.19 MB)
Crowston, K., & Shamshurin, I.. (2017). Core-periphery communication and the success of free/libre open source software projects. Journal Of Internet Services And Applications, 8(10). https://doi.org/10.1186/s13174-017-0061-4
PDF icon 170707 JISA final.pdf (259.01 KB)
Crowston, K. (2012). Amazon Mechanical Turk: A research tool for organizations and information systems scholars (A. Bhattacherjee & Fitzgerald, B., Eds.). In IFIP Working Group 8.2 Conference: Shaping the Future of ICT Research: Methods and Approaches (pp. 210-221). https://doi.org/10.1007/978-3-642-35141-9
PDF icon 3890210.pdf (1.64 MB)
PDF icon 050415 padua presentation.pdf (5.31 MB)
Crowston, K., Annabi, H., Howison, J., & Masango, C.. (2005). Effective work practices for FLOSS development: A model and propositions. In Proceedings of the 38th Hawai'i International Conference on System Sciences (HICSS). https://doi.org/10.1109/HICSS.2005.222
PDF icon Paper.pdf (141 KB)PDF icon Presentation.pdf (426.61 KB)
Crowston, K., & Scozzi, B.. (2006). The role of mental models in FLOSS development work practices. In Proceedings of the IFIP 2nd International Conference on Open Source Software (pp. 91-97). Lake Como, Italy, 8–9 June.
PDF icon oss2006crowstonscozzi.pdf (160.74 KB)
Crowston, K. (2012). Poster: Socially intelligent computing to support citizen science. Syracuse, NY: Syracuse University School of Information Studies.
PDF icon SOCS CS SOCS PI poster small.pdf (5.75 MB)
PDF icon crowston_EASE_talk.pdf (4.43 MB)
Crowston, K., Wei, K., Li, Q., Eseryel, Y., & Howison, J.. (2007). Self-organization of teams in free/libre open source software development. Information And Software Technology Journal: Special Issue On Understanding The Social Side Of Software Engineering, Qualitative Software Engineering Research, 49(6), 564–575. https://doi.org/10.1016/j.infsof.2007.02.004
PDF icon 060918.pdf (282.58 KB)
Crowston, K., & Treacy, M. E.. (1986). Assessing the impact of information technology on enterprise level performance. In Proceedings of the Sixth International Conference on Information Systems (ICIS) (pp. 299–310). Indianapolis, IN.
PDF icon icis86 (1 MB)
PDF icon crowston_oasis_2004v3.pdf (3.17 MB)
Crowston, K., & Howison, J.. (2006). Assessing the health of open source communities. Ieee Computer, 39(5), 89-91. https://doi.org/10.1109/MC.2006.152
PDF icon Paper.pdf (397.76 KB)
Crowston, K., Howison, J., & Wiggins, A.. (2008). eSocialScience for Free/Libre Open Source Software researchers. In Proceedings of the 4th International Conference on e-Social Science.
PDF icon NCeSS2008CrowstonHowisonWiggins.pdf (207.99 KB)
Crowston, K., & Rezgui, A.. (2020). Effects of stigmergic and explicit coordination on Wikipedia article quality. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.287
PDF icon Stigmergy_in_Wikipedia_HICSS_2020.pdf (654.41 KB)
Crowston, K., & Scozzi, B.. (2002). Open source software projects as virtual organizations: Competency rallying for software development. Iee Proceedings Software, 149(1), 3–17. https://doi.org/10.1049/ip-sen:20020197
PDF icon iee2002 (630.64 KB)
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)
Crowston, K., & Kammerer, E.. (1998). Coordination and collective mind in software requirements development. Ibm Systems Journal, 37(2), 227–245. https://doi.org/10.1147/sj.372.0227
PDF icon ibmsj98 (1.67 MB)
Crowston, K., & The Gravity Spy Team. (2017). Gravity Spy: Humans, machines and the future of citizen science. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026329
PDF icon cpa137-crowstonA.pdf (1.26 MB)
PDF icon thesis (9.9 MB)
Crowston, K., Wiggins, A., & Howison, J.. (2010). Analyzing Leadership Dynamics in Distributed Group Communication. In Proceedings of the Forty-third Hawaiʼi International Conference on System Sciences (HICSS-43). https://doi.org/10.1109/HICSS.2010.62
PDF icon 07-06-02.pdf (478.73 KB)

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