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Submitted

Østerlund, C., Crowston, K., & Jackson, C. B.. (Submitted). Building an apparatus: Refractive, reflective and diffractive readings of trace data.

Apparatus v2 to distribute.pdf (973.64 KB)

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (Submitted). Coordinating Advanced Crowd Work: Extending Citizen Science.

180426 Quench to distribute.pdf (682.69 KB)

Jackson, C. B., Crowston, K., & Østerlund, C.. (Submitted). A Cross-Case Analysis of Anonymous Contributions in Online Citizen Science Communities and Its Impact on Interaction Data. In .

anonymous-contributions-impact.pdf (1.44 MB)

Østerlund, C., & Crowston, K.. (Submitted). Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately?.

180206 Floss Documents new figures.pdf (2.19 MB)

Dolata, M., Schwabe, G., & Crowston, K.. (Submitted). Getting your data refinery ready to work: Insights from cognitive application development projects.

Rezgui, A., Crowston, K., & Jullien, N.. (Submitted). Life-cycle Changes in Modes of Coordination in Wikipedia Articles.

life-cycle-modes.pdf (937.68 KB)

Harandi, M., Crowston, K., & Jackson, C. B.. (Submitted). Perceptions of Machine Learning: The Genie in the Bottle.

perceptions-machine-learning (1).pdf (1.08 MB)

Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (Submitted). Scaffolding Training with Machine Learning: An Experiment on Participant Learning in an On-line Production Community.

scaffolding-training-machine.pdf (1.06 MB)

2018

Lee, T. Kyoung, Crowston, K., Harandi, M., Østerlund, C., & Miller, G.. (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal of Science Communication. doi:10.22323/2.17010202

JCOM_1701_2018_A02.pdf (306.9 KB)

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2018). Coordinating advanced crowd work: Extending citizen science. Hawai'i International Conference on System Sciences. doi:10.24251/HICSS.2018.212

Quench to distribute.pdf (710.03 KB)

Jackson, C. B., Crowston, K., Østerlund, C., & Harandi, M.. (2018). Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work. doi:10.1007/s10606-018-9327-z

ECSCW-Paper-Final.pdf (2.14 MB)

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. doi:10.1016/j.ijhcs.2017.08.005

crowston fagnot to distribute.pdf (3.76 MB)

Rezgui, A., & Crowston, K.. (2018). Stigmergic Coordination in Wikipedia. OpenSym.

stigmergic-coordination-wikipedia.pdf (1.57 MB)

2017

Curty, R. G., Crowston, K., Specht, A., Grant, B., & Walton, E. D.. (2017). Attitudes and norms affecting scientists’ data reuse. PLoS ONE, 12(12). doi:10.1371/journal.pone.0189288

PONE to share.pdf (1.19 MB)

Crowston, K., Østerlund, C., & Lee, T. Kyoung. (2017). Blending machine and human learning processes. Hawai'i International Conference on System Sciences. doi:10.24251/HICSS.2017.009

training v3 to share.pdf (245.57 KB)

Saltz, J., Shamshurin, I., & Crowston, K.. (2017). Comparing data science project management methodologies via a controlled experiment. Hawai'i International Conference on System Sciences (HICSS-50). doi:10.24251/HICSS.2017.120

Crowston, K., & Shamshurin, I.. (2017). Core-periphery communication and the success of free/libre open source software projects. Journal of Internet Services and Applications. doi:10.1186/s13174-017-0061-4

170707 JISA final.pdf (259.01 KB)

Wei, K., Crowston, K., Eseryel, Y., & Heckman, R.. (2017). Decision-making processes in community-based free/libre open source software development teams: The impact of shared work products. Syracuse University School of Information Studies.

Decision making to distribute.pdf (642.27 KB)

Prestopnik, N. R., Crowston, K., & Wang, J.. (2017). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers in Human Behavior, 68, 254–268. doi:10.1016/j.chb.2016.11.035

chb2016.pdf (3.74 MB)

Crowston, K., & ,. (2017). Gravity Spy: Humans, machines and the future of citizen science. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026329

cpa137-crowstonA.pdf (1.26 MB)

Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical and Quantum Gravity, 34, 064003. doi:10.1088/1361-6382/aa5cea

Crowston, K. (2017). Levels of trace data for social and behavioural science research. In S. Matei, Goggins, S., & Jullien, N., Big Data Factories: Collaborative Approaches. Springer Nature. doi:10.1007/978-3-319-59186-5_4

160529 levels book chapter.pdf (160.85 KB)

Jarrahi, M. Hossein, Crowston, K., Bondar, K., & Katzy, B.. (2017). A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT. International Journal of Information Management, 37(6), 566-575. doi:10.1016/j.ijinfomgt.2017.05.016

Jarrahi et al (2017) A pragmatic approach to managing enterprise IT infrastructures in the era of consumerization and individualization of IT.pdf (333 KB)

Qin, J., Crowston, K., & Kirkland, A.. (2017). Pursuing best performance in research data management by using the Capability Maturity Model and rubrics. Journal of eScience Librarianship. doi:10.7191/jeslib.2017.1113

CMM paper to distribute.pdf (286.98 KB)

Lee, T. Kyoung, Crowston, K., Østerlund, C., & Miller, G.. (2017). Recruiting messages matter: Message strategies to attract citizen scientists. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026335

cpa143-leeA.pdf (127.53 KB)

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