Papers
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). Comprehensive collaboration plans: Practical considerations spanning across individual collaborators to institutional supports. In , Strategies for Team Science Success (pp. 587-611). https://doi.org/10.1007/978-3-030-20992-6_45
. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166
. (2019). Coordination in OSS 2.0: ANT Approach. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.120
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately?. Journal Of The American Society For Information Science And Technology, 70(6), 619–633. https://doi.org/10.1002/asi.24152
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Helping data science students develop task modularity. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.134
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
. (2019).
The_importance_of_initial_core_member_in_online_communities.pdf (700.97 KB)
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Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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)
Sharing open deep learning models. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.256
. (2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Socio-technical affordances for stigmergic coordination implemented in MIDST, a tool for data-science teams. Proceedings Of The Acm , 3(CSCW), Article 117. https://doi.org/10.1145/3359219
. (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)
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
. (2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Stigmergic coordination in Wikipedia. In OpenSym. Retrieved de http://www.opensym.org/wp-content/uploads/2018/07/OpenSym2018_paper_34.pdf
. (2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Attitudes and norms affecting scientists’ data reuse. Plos One, 12(12). https://doi.org/10.1371/journal.pone.0189288
. (2017). ![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)
Comparing data science project management methodologies via a controlled experiment. In Hawai'i International Conference on System Sciences (HICSS-50). https://doi.org/10.24251/HICSS.2017.120
. (2017). Core-periphery communication and the success of free/libre open source software projects. Journal Of Internet Services And Applications, 8(10). https://doi.org/10.1186/s13174-017-0061-4
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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
. (2017). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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). Lessons Learned from a Decade of FLOSS Data Collection. In , Big Data Factories (pp. 79 - 100). https://doi.org/10.1007/978-3-319-59186-5
. (2017).