Papers
. (2011). Describing public participation in scientific research. Syracuse University School of Information Studies.
Describing Public Participation in Scientific Research.pdf (144.6 KB) system_assemblage.pdf (89.24 KB). (2011). Citizen science system assemblages: Toward greater understanding of technologies to support crowdsourced science. Syracuse University School of Information Studies.
system_assemblage.pdf (89.24 KB). (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). (2021). 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
. (2016). The Hermeneutics of Trace Data: Building an Apparatus. In IFIP Working Group 8.2 Working Conference.
Crowston_Osterlund_Jackson_Mugar_The_Hermeneutics_of_Trace_Data_IFIP8.2_2016 to distribute.pdf (205.13 KB). (2017). Recruiting messages matter: Message strategies to attract citizen scientists. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026335
cpa143-leeA.pdf (127.53 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). (2016). Encouraging Work in Citizen Science: Experiments in Goal Setting and Anchoring. In ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW). https://doi.org/10.1145/2818052.2869129
CSCW-abstract.pdf (423.64 KB). (2010). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
NSFmaster.pdf (309.26 KB). (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
MLGT-preprint.pdf (2.43 MB). (2015). Surveying the citizen science landscape. First Monday, 26(1). https://doi.org/10.5210/fm.v20i1.5520
Surveying the citizen science landscape.pdf (50.22 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). (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings Of The Acm On Human-Computer Interaction, (CSCW), 36. https://doi.org/10.1145/3392841
3392841.pdf (1.13 MB). (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). (2024). 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
. (2017). 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). 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
chb2016.pdf (3.74 MB). (2012). 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
. (2018). 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
ECSCW-Paper-Final.pdf (2.14 MB). (2018). Did they login? Patterns of anonymous contributions to online communities. Proceedings Of The Acm On Human-Computer Interaction, 2(CSCW), Article 77. https://doi.org/10.1145/3274346
anonymous-contributions-cameraready.pdf (1.25 MB). (2010). Developing a Conceptual Model of Virtual Organizations for Citizen Science. International Journal Of Organizational Design And Engineering, 1(1/2), 148-162. https://doi.org/10.1504/IJODE.2010.035191
WigginsCrowstonIJODE2010.pdf (440.27 KB). (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (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