Knowledge Tracing to Model Learning in Online Citizen Science Projects

Crowston, K., Østerlund, C., Lee, T. Kyoung, Jackson, C. B., Harandi, M., Allen, S., et al.. (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

The ASIS&T Research in Information Science Award goes to... me!

Submitted by crowston on Sat, 2019-07-20 18:45

The Association for Information Science & Technology (ASIS&T) just announced that I am the 2019 recipient of the ASIS&T Research in Information Science Award. The award’s purpose is to recognize an individual or individuals for an outstanding research contribution in the field of information science. The award is for a systematic “program of research” in a single area that has significant impact in the field at a level beyond a single study, but not at the level of a lifetime’s work.

Classifying the unknown: Discovering novel gravitational-wave detector glitches using similarity learning

Documentation and Access to Knowledge in Online Communities: Know Your Audience and Write Appropriately?

Østerlund, C., & Crowston, K.. (2019). 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

Building an apparatus: Refractive, reflective and diffractive readings of trace data

Østerlund, C., Crowston, K., & Jackson, C. B.. (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

Coordinating Advanced Crowd Work: Extending Citizen Science

Crowston, K., Mitchell, E. Michelle, & Østerlund, C.. (2019). Coordinating Advanced Crowd Work: Extending Citizen Science. Citizen Science: Theory And Practice, 4, 1–12. https://doi.org/10.5334/cstp.166

Impacts of machine learning on work

Crowston, K., & Bolici, F.. (2019). 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

Keynote at OpenSym 2018

Submitted by crowston on Mon, 2018-08-27 15:07

I gave a keynote address at the OpenSym conference in Paris, France, on Challenges and Opportunities for Open Collaboration. You can see me in action:

Did they login? Patterns of anonymous contributions to online communities

Jackson, C. B., Crowston, K., & Østerlund, C.. (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

Helping data science students develop task modularity

Saltz, J., Heckman, R., Crowston, K., You, S., & Hegde, Y.. (2019). 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

Pages