Papers
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.
. (2013). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2023). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2012). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Poster: Socially intelligent computing to support citizen science. Syracuse, NY: Syracuse University School of Information Studies.
. (2012). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2020). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (2019). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
. (2010). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2019). Folksonomies in crowdsourcing platforms: Three tensions associated with the development of shared language in distributed groups. In The European Conference on Computer-Supported Cooperative Work (ECSCW). https://doi.org/10.48340/ecscw2024_n06
. (2024). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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