Papers
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). chb2016.pdf (3.74 MB)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). 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). ECSCW-Paper-Final.pdf (2.14 MB)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
. (2021). 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
. (2018). anonymous-contributions-cameraready.pdf (1.25 MB)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
. (2010). WigginsCrowstonIJODE2010.pdf (440.27 KB)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
. (2023). 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
. (2019). 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
. (2020). RA-JAIS-17-0130.R3.1_FIN to share.pdf (892.03 KB)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
. (2018). JCOM_1701_2018_A02.pdf (306.9 KB)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
. (2016). CSCW2016-Roles.pdf (1.38 MB)Technology and Work Practices in Citizen Science. In ASIST 2010.
. (2010). ASIST poster abstract (120.96 KB) ASIST poster (2.75 MB)Planet Hunters and Seafloor Explorers: Legitimate Peripheral Participation Through Practice Proxies in Online Citizen Science. In 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). https://doi.org/10.1145/2531602.2531721
. (2014). paper_revised copy to post.pdf (3.15 MB)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). Motivation in Talk Submitted_FINAL(Formatted).pdf (615.94 KB)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). Linguistic Adoption (ICIS) final.pdf (3.07 MB)“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). Goals and tasks: Two typologies of citizen science projects. In Forty-fifth Hawai’i International Conference on System Sciences (HICSS-45).
. (2012). hicss-45-final.pdf (116.59 KB)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). Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)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). ECSCW2024_Folksonomy_Crowdsourcing__Final_.pdf (1.59 MB)Exploring data quality in games with a purpose. In iConference. https://doi.org/10.9776/14066
. (2014). gamedataquality_cameraready_4.pdf (1.55 MB)eBirding: Technology Adoption and the Transformation of Leisure into Science. In iConference 2011.
. (2011). Wiggins2011iConference.pdf (120.54 KB)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). Design_Background_iConf.pdf (3.78 MB)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). Quench to distribute.pdf (710.03 KB)Citizen science system assemblages: Understanding the technologies that support crowdsourced science. In iConference 2012.
. (2012). citizensciencesystemassemblage.pdf (74 KB)