Papers

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2010
Crowston, K., Kwaśnik, B. H., & Rubleske, J.. (2010). Problems in the use-centered development of a taxonomy of web genres. In A. Mehler, Sharoff, S., & Santini, M. (Eds.), Genres on the Web: Computational Models and Empirical Studies. https://doi.org/10.1007/978-90-481-9178-9
PDF icon 081024 book chapter as submitted.pdf (152.58 KB)
1999
Crowston, K. (1999). Constructing intelligent agents with Java: A programmerʼs guide to smarter applications [Book review]. In Internet Research: Electronic Networking Applications and Policy (pp. 474–476).
2010
Crowston, K. (2010). Designing scholarly communications. In IFIP Working Group 8.2/8.6 Joint Working Conference. Presented at the IFIP Working Group 8.2/8.6 Joint Working Conference, Perth, Australia.
PDF icon ifipwg82 2010 100202 revision.pdf (88.24 KB)
1986
Crowston, K., Malone, T. W., & Lin, F.. (1986). Cognitive science and organizational design (H. Krasner & Greif, I., Trans.). In Proceedings of the 1986 ACM conference on Computer-supported cooperative work (CSCW '86) (pp. 43-61). https://doi.org/10.1145/637069.637076
PDF icon p43-crowston.pdf (1.21 MB)
2004
Crowston, K., Annabi, H., Howison, J., & Masango, C.. (2004). Effective work practices for software engineering (N. Mehandjiev, Brereton, P., Bennett, K., Budgen, D., & Layzell, P., Trans.). In Proceedings of the 2004 ACM workshop on Interdisciplinary software engineering research (WISER '04) (18). https://doi.org/10.1145/1029997.1030003
PDF icon p18-crowston.pdf (381.25 KB)
2012
Crowston, K., Allen, E. E., & Heckman, R.. (2012). Using natural language processing for qualitative data analysis. International Journal Of Social Research Methodology, 15(6). https://doi.org/10.1080/13645579.2011.625764
PDF icon NLP_for_qualitative_analysis.pdf (315.93 KB)
2010
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)
Crowston, K. (2010). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
PDF icon NSFmaster.pdf (309.26 KB)
Crowston, K., Heckman, R., & Misiolek, N.. (2010). Leadership in self-managing virtual teams. Syracuse University School of Information Studies.
PDF icon REVISED to distribute.pdf (316.04 KB)
Crowston, K., & Qin, J.. (2010). A Capability Maturity Model for Scientific Data Management. In American Society for Information Science and Technology (ASIST) Annual Conference.
PDF icon CMM for DM to share.pdf (257.21 KB)PDF icon 100714 ASIST Poster final.pdf (140.32 KB)
2018
Crowston, K., & Fagnot, I.. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005
PDF icon crowston fagnot to distribute.pdf (3.76 MB)
2013
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)
2012
Crowston, K., & McCracken, N.. (2012). Poster: Socially intelligent computing for coding of qualitative data. Syracuse, NY: Syracuse University School of Information Studies.
PDF icon SOCQA SOCS PI poster small.pdf (410.58 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)
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)

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