Publications
Export 25 results:
Filters: First Letter Of Title is L and Author is Dhruv Kharwar [Clear All Filters]
Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy. Citizen Science: Theory And Practice.
. (In Press). 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). 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). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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). ![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)
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)
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
. (2020). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2020). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2019). 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)
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). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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). ![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)
Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2016). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“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)
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). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Being Present in Online Communities: Learning in Citizen Science. In 7th International Conference on Communities and Technologies. https://doi.org/10.1145/2768545.2768555
. (2015). ![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)
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). ![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)
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)