Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces

Apparently we never posted the news of our latest Gravity Spy NSF award, HCC 21-06865, Collaborative Research: HCC: Medium: Intelligent support for non-experts to navigate large information spaces, which was awarded in October 2021. This is a joint project with Kevin Crowston and Carsten Østerlund (Syracuse), Corey Jackson (Wisconsin), Aggelos Katsaggelos, Vassiliki Kalogera, Christopher Berry and Scott Coughlin (Northwestern), and Marissa Walker (Christopher Newport).

INSPIRE: Teaming Citizen Science with Machine Learning to Deepen LIGO's View of the Cosmos

This project (INSPIRE 15-47880) has developed a citizen science system--Gravity Spy ()--to support the Advanced Laser Interferometer Gravitational wave Observatory (aLIGO), the most complicated experiment ever undertaken in gravitational physics. LIGO has opened up the window of gravitational wave observations on the Universe.

Previous grants

Our research on citizen science has been funded by three earlier NSF awards. You can see the descriptions linked below.

Mutual learning in human-AI interaction

Østerlund, C., Crowston, K., Jackson, C. B., Takou-Ayaoh, M., Wu, Y., & Katsaggelos, A. K.. (2024). Mutual learning in human-AI interaction. In Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference. Presented at the Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, Honolulu, HI.

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

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).

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