Keynote address at the 2nd Conference of LIS and Practices, CoLISP 2022

Submitted by crowston on Fri, 2022-12-09 08:24

I gave a keynote address for the 2nd Conference of LIS and Practices, CoLISP 2022. The conference was in Taipei, Taiwan, but unfortunately I couldn't make the trip fit my schedule and so gave the talk remotely. The talk described some of what we've learned from the Gravity Spy project and plans for Gravity Spy 2.0. It was recorded, so you can watch if you're curious (35 minutes).

Design principles for background knowledge to enhance learning in citizen science

Crowston, K., Jackson, C. B., Corieri, I., & Østerlund, C.. (2023). 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

Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research

Gravity Spy featured in New Scientist

Submitted by crowston on Fri, 2021-11-12 10:47

Gravity Spy was just featured in New Scientist magazine. You can see the story .

Occasional Groups in Crowdsourcing Platforms

Harandi, M. (2021). Occasional Groups in Crowdsourcing Platforms. In School of Information Studies. Syracuse University, Syracuse, NY, USA.

Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research

Submitted by crowston on Mon, 2021-04-05 09:26

The Computing Research Association (CRA) Computing Consortium Community (CCC) has released our Quadrennial Paper research policy brief "“ (with Lea A. Shanley, Lucy Fortson, Tanya Berger-Wolf & Pietro Michelucci).

Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning

Shifting forms of Engagement: Volunteer Learning in Online Citizen Science

Jackson, C. B., Østerlund, C., Harandi, M., Crowston, K., & Trouille, L.. (2020). 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

Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training

Jackson, C., Østerlund, C., Crowston, K., Harandi, M., Allen, S., Bahaadini, S., et al.. (2020). 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

Linguistic adoption in online citizen science: A structurational perspective

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