Papers
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. (2010). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
NSFmaster.pdf (309.26 KB). (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
crowston fagnot to distribute.pdf (3.76 MB). (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.
hicss2013citizensort_cameraready.pdf (765.39 KB). (2012). Amazon Mechanical Turk: A research tool for organizations and information systems scholars (). 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
3890210.pdf (1.64 MB). (2012). Poster: Socially intelligent computing to support citizen science. Syracuse, NY: Syracuse University School of Information Studies.
SOCS CS SOCS PI poster small.pdf (5.75 MB). (2017). Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
training v3 to share.pdf (245.57 KB). (2017). Levels of trace data for social and behavioural science research. In , Big Data Factories: Collaborative Approaches. https://doi.org/10.1007/978-3-319-59186-5_4
160529 levels book chapter.pdf (160.85 KB). (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
cpa137-crowstonA.pdf (1.26 MB). (2018). Coordinating advanced crowd work: Extending citizen science. In Hawai'i International Conference on System Sciences (51st ed.). https://doi.org/10.24251/HICSS.2018.212
Quench to distribute.pdf (710.03 KB). (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (2020). Knowledge Tracing to Model Learning in Online Citizen Science Projects. Ieee Transactions On Learning Technologies, 13, 123-134. https://doi.org/10.1109/TLT.2019.2936480
transaction paper final figures in text.pdf (1.39 MB). (2023). Design principles for background knowledge to enhance learning in citizen science. In Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, iConference (pp. 563–580). https://doi.org/10.1007/978-3-031-28032-0_43
Design_Background_iConf.pdf (3.78 MB). (2019). Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning. Physical Review D, 99(8), 082002. https://doi.org/10.1103/PhysRevD.99.082002