Papers
Exploring data quality in games with a purpose. In iConference. https://doi.org/10.9776/14066
. (2014). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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)
Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. https://doi.org/10.1007/s10606-018-9327-z
. (2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Forgotten island: A story-driven citizen science adventure ( ). In CHI '13 Extended Abstracts on Human Factors in Computing Systems (2643–2646). https://doi.org/10.1145/2468356.2479484
. (2013). From Conservation to Crowdsourcing: A Typology of Citizen Science. In Proceedings of the Forty-fourth Hawai'i International Conference on System Sciences (HICSS-44). Presented at the Proceedings of the Forty-fourth Hawai'i International Conference on System Sciences (HICSS-44), Koloa, HI.
. (2011). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294
. (2012). Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers In Human Behavior, 68, 254–268. https://doi.org/10.1016/j.chb.2016.11.035
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
. (2020). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Goals and tasks: Two typologies of citizen science projects. In Forty-fifth Hawai’i International Conference on System Sciences (HICSS-45).
. (2012). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
. (2017). Gravity Spy: Lessons Learned and a Path Forward. European Physical Journal Plus, 139, Article 100. https://doi.org/10.1140/epjp/s13360-023-04795-4
. (2024). “Guess what! You’re the first to see this event”: Increasing Contribution to Online Production Communities. In ACM Group. https://doi.org/10.1145/2957276.2957284
. (2016). The Hermeneutics of Trace Data: Building an Apparatus. In IFIP Working Group 8.2 Working Conference.
. (2016). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. In A Computing Community Consortium (CCC) Quadrennial Paper. Retrieved de https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf
. (2021). 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)
Learning at the Seafloor, Looking at the Sky: The Relationship Between Individual Tasks and Collaborative Engagement in Two Citizen Science Projects. In Computer Supported Collaborative Learning. Presented at the Computer Supported Collaborative Learning .
. (2013). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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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)
Linguistic adoption in online citizen science: A structurational perspective. In International Conference on Information Systems. Retrieved de https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
. (2020).
Novelty_Motivator_2020.pdf (1.15 MB)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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)
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).
. (2015). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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.
. (2024). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Occasional Groups in Crowdsourcing Platforms. In School of Information Studies. Syracuse University, Syracuse, NY, USA.
. (2021). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Organizing From the Middle Out: Citizen Science in the National Parks. In iConference 2010. Presented at the iConference 2010, Champaign, IL.
. (2010). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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