Papers
. (2010). Technology and Work Practices in Citizen Science. In ASIST 2010.
ASIST poster abstract (120.96 KB) ASIST poster (2.75 MB). (2016). Which Way Did They Go? Newcomer Movement through the Zooniverse. In 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW). https://doi.org/10.1145/2818048.2835197
CSCW2016-Roles.pdf (1.38 MB). (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal Of Science Communication, 17. https://doi.org/10.22323/2.17010202
JCOM_1701_2018_A02.pdf (306.9 KB). (2024). Artificial Intelligence and the Future of Citizen Science. Citizen Science: Theory And Practice, 9(1), 32. https://doi.org/10.5334/cstp.812
. (2020). Building an apparatus: Refractive, reflective and diffractive readings of trace data. Journal Of The Association For Information Systems, 21(1), Article 10. https://doi.org/10.17705/1jais.00590
RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB). (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
. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (2023). Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications. Classical And Quantum Gravity, 40(6). https://doi.org/10.1088/1361-6382/acb633
. (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). (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). (2021). Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning. Classical And Quantum Gravity, 38(19). https://doi.org/10.1088/1361-6382/ac1ccb
. (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). (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
. (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). (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
. (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
. (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). (2017). Preserving the margins: Supporting creativity and resistance on digital participatory platforms. Proceedings Of The Acm: Human-Computer Interaction, 1(CSCW). https://doi.org/10.1145/3134718
pacmhci083-mugarSC.pdf (254.77 KB). (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). (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). (2024). Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy. Citizen Science: Theory And Practice, 9(1), 42. https://doi.org/10.5334/cstp.738
. (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). (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). (2010). SoCS: Socially intelligent computing to support citizen science. In Proposal submitted to the NSF SOCS program.
NSFmaster.pdf (309.26 KB). (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)