Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical and Quantum Gravity. doi:10.1088/1361-6382/aa5cea. (In Press).
Levels of trace data for social and behavioural science research. In , Big Data Factories: Collaboration in Virtual Community Data Collection, Repurposing, Analysis and Dissemination. Springer Nature.. (In Press).
Gamers, citizen scientists, and data: Exploring participant contributions in two games with a purpose. Computers in Human Behavior, 68, 254–268. doi:10.1016/j.chb.2016.11.035. (2017).
Gravity Spy: Humans, machines and the future of citizen science. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026335. (2017).
Recruiting messages matter: Message strategies to attract citizen scientists (with T. K. Lee, C. Østerlund and G. Miller). ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). Portland, OR. doi:10.1145/3022198.3026329. (2017).
Encouraging Work in Citizen Science: Experiments in Goal Setting and Anchoring. ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW).. (2016).
The Hermeneutics of Trace Data: Building an Apparatus. IFIP Working Group 8.2 Working Conference.. (2016).
Which Way Did They Go? Newcomer Movement through the Zooniverse. 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW).. (2016).
Working in the Shadow: Anonymous Contributions by Citizen Scientists. Working paper. Syracuse, NY, USA: Syracuse University School of Information Studies.. (2016).
Being Present in Online Communities: Learning in Citizen Science. 7th International Conference on Communities and Technologies. Limerick, Ireland. doi:10.1145/2768545.2768555. (2015).
Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study. Proceedings of the Forty-eighth Hawai'i International Conference on System Science (HICSS-48). Koloa, HI.. (2015).
Surveying the citizen science landscape. First Monday, 26(1). doi:10.5210/fm.v20i1.5520. (2015).
Exploring data quality in games with a purpose. iConference. Berlin, Germany.. (2014).
Planet Hunters and Seafloor Explorers: Legitimate Peripheral Participation Through Practice Proxies in Online Citizen Science. 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014) .. (2014).
Forgotten island: A story-driven citizen science adventure. In , CHI '13 Extended Abstracts on Human Factors in Computing Systems (pp. 2643–2646). Paris, France: ACM Press. doi:10.1145/2468356.2479484. (2013).
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 .. (2013).
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). Wailea, HI.. (2013).
Amazon Mechanical Turk: A research tool for organizations and information systems scholars. ( )IFIP Working Group 8.2 Conference: Shaping the Future of ICT Research: Methods and Approaches. Tampa, FL: Springer. doi:10.1007/978-3-642-35141-9. (2012).
Citizen science system assemblages: Understanding the technologies that support crowdsourced science. iConference 2012. Toronto, Ontario.. (2012).
The future of citizen science: emerging technologies and shifting paradigms. Frontiers in Ecology and the Environment, 10(6), 298–304. doi:10.1890/110294. (2012).
Goals and tasks: Two typologies of citizen science projects. Forty-fifth Hawai’i International Conference on System Science (HICSS-45). Wailea, HI.. (2012).
Poster: Socially intelligent computing to support citizen science. Syracuse, NY: Syracuse University School of Information Studies.. (2012).
Purposeful gaming & socio-computational systems: A citizen science design case. In Group '12 Conference. Sanibel Island, FL, USA.. (2012).