Papers

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Crowston, K., Liu, X., Allen, E. E., & Heckman, R.. (2010). Machine Learning and Rule-Based Automated Coding of Qualitative Data. In American Society for Information Science and Technology (ASIST) Annual Conference.
PDF icon ml_nlp.pdf (249.71 KB)PDF icon ASIST poster 2p final.pdf (184.79 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)
Allen, A., Aragon, C., Becker, C., Carver, J., Chiş, A., Combemale, B., et al.. (2016). Manifesto on Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). In Dagstuhl Manifestos. Wadern, Germany: Schloss Dagstuhl – Leibniz Center for Informatics.
Crowston, K. (1996). Market-enabling Internet agents (J. I. DeGross, Jarvenpaa, S., & Srinivasan, A., Eds.). In Proceedings of the International Conference on Information Systems (ICIS).
PDF icon icis96 (14.74 KB)
Wiggins, A., Newman, G., Stevenson, R. D., & Crowston, K.. (2011). Mechanisms for Data Quality and Validation in Citizen Science. In "Computing for Citizen Science" workshop at the IEEE eScience Conference. Presented at the "Computing for Citizen Science" workshop at the IEEE eScience Conference, Stockholm, Sweden. Retrieved de http://itee.uq.edu.au/~eresearch/workshops/compcitsci2011/index.html
PDF icon PID2090593.pdf (125.17 KB)
Chudoba, K. M., Watson-Manheim, M. B., Lee, C. S., & Crowston, K.. (2005). Meet Me in Cyberspace: Meetings in the Distributed Work Environment. In Academy of Management Conference, OCIS Division. Presented at the Academy of Management Conference, OCIS Division, Honolulu, HI.
PDF icon academy2005calendar (359.81 KB)
Scozzi, B., Garavelli, C., & Crowston, K.. (2005). Methods for modeling and supporting innovation processes in SMEs. European Journal Of Innovation Management, 8(1), 120–137. https://doi.org/10.1108/14601060510578619
PDF icon Methods For Modeling.pdf (103.8 KB)
Saltz, J., Crowston, K., Heckman, R., & Hegde, Y.. (2020). MIDST: An enhanced development environment that improves the maintainability of a data science analysis. International Journal Of Information Systems And Project Management, 8(3). https://doi.org/10.12821/ijispm080301
Crowston, K. (1991). Modelling coordination in organizations. In M. Masuch & Massimo, G. (Eds.), Artificial Intelligence in Organization and Management Theory (pp. 215-234). Amsterdam: Elsevier.
PDF icon Original paper.pdf (1.17 MB)
Crowston, K., & Prestopnik, N.. (2013). Motivation and data quality in a citizen science game: A design science evaluation. In Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46). Presented at the Forty-sixth Hawai'i International Conference on System Sciences (HICSS-46), Wailea, HI.
PDF icon hicss2013citizensort_cameraready.pdf (765.39 KB)
Crowston, K., & Fagnot, I.. (2008). The motivational arc of massive virtual collaboration. In Proceedings of the IFIP WG 9.5 Working Conference on Virtuality and Society: Massive Virtual Communities.
PDF icon MortivationalArc.pdf (2.27 MB)
Jackson, C. B., Østerlund, C., Mugar, G., Crowston, K., & Hassman, K. D. V.. (2015). Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study. In Proceedings of the Forty-eighth Hawai'i International Conference on System Sciences (HICSS-48).
PDF icon Motivation in Talk Submitted_FINAL(Formatted).pdf (615.94 KB)
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)
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Watson-Manheim, M. B., Crowston, K., & Chudoba, K. M.. (2002). A New Perspective on "Virtual":Analyzing Discontinuities in the Work Environment. In Proceedings of the 35th Hawaii International Conference on System Sciences (HICIS). https://doi.org/10.1109/HICSS.2002.994446
PDF icon hicss2002 (111.21 KB)
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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 dl00.pdf (109.12 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. (2015). Open Source Technology Development. In W. S. Bainbridge & Roco, M. C. (Eds.), Handbook of Science and Technology Convergence. https://doi.org/10.1007/978-3-319-04033-2_29-1
PDF icon chp%3A10.1007%2F978-3-319-04033-2_29-1.pdf (144.51 KB)
Crowston, K., Howison, J., & Wiggins, A.. (2008). Opportunities for eScience research on Free/Libre Open Source Software. In Proceedings of the Oxford e-Research 08 Conference.
PDF icon Opportunities for eScience research on Free.pdf (162.39 KB)
Yan, J. L. S., McCracken, N., Zhou, S., & Crowston, K.. (2014). Optimizing Features in Active Machine Learning for Complex Qualitative Content Analysis. In Workshop on Language Technologies and Computational Social Science, 52nd Annual Meeting of the Association for Computational Linguistics. Presented at the Workshop on Language Technologies and Computational Social Science, 52nd Annual Meeting of the Association for Computational Linguistics , Baltimore, MD.
PDF icon 9_Paper.pdf (195.46 KB)
Malone, T. W., Crowston, K., & Herman, G.. (2003). Organizing Business Knowledge: The MIT Process Handbook (p. x, 619 p. ). In (p. x, 619 p. ). Cambridge, MA: MIT Press.

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