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Looking for PhD students!

I am interested in finding new PhD students interested in work and technology, especially work and intelligent machines. You can find more information on the program here. Please get in touch if you have questions or are thinking about applying.

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Research coordination network funded!

NSF just announced funding for our (me, Jeff Nickerson and Ingrid Erickson) Research Coordination Network on the Socio-Technological Landscape of Work in the Age of Increased Automation. See the press release here and the award summary here.

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Researchers turn to “citizen scientists” for help identifying gravitational waves

University of Alabama has a nice article about Gravity Spy.

Other popular press coverage: Citizen scientists join search for gravitational waves, Symmetry Magazine.

Report from Dagstuhl Perspectives Workshop on "Engineering Academic Software"

A few months ago, I attended a Dagstuhl Perspectives Workshop on "Engineering Academic Software". The report from that workshop is now available online, DOI 10.4230/DagRep.6.6.62.

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National Consortium for Data Science webinar: Humans, Machines, and the Future of Citizen Science:

I recently gave a webinar for the National Consortium for Data Science on Humans, Machines, and the Future of Citizen Science.

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Recent publications

Grote, Gudela, et al. “Taming Artificial Intelligence: A Theory of Control–accountability Alignment Among AI Developers and Users”. Academy of Management Review, 9999, doi:10.5465/amr.2023.0117.
Jastrzebski, Stan, et al. “Boundaries of Data Journalism in U.S. Public Radio Newsrooms”. Journalism, 9999, doi:10.1177/14648849251324894.
Mackenzie, E., et al. Hunting for New Glitches in LIGO Data Using Community Science. 2025. arXiv, 2025, doi:10.48550/arXiv.2508.13923.
Jackson, Corey Brian, et al. “Leveling up or Dropping Out: Searching for Learning Routines in Crowdsourced Environments”. Proceedings of the ACM on Human-Computer Interaction, CSCW, 2025, doi:10.1145/3757489.
Wu, Yunan, et al. “Advancing Glitch Classification in Gravity Spy: Multi-View Fusion With Attention-Based Machine Learning for Advanced LIGO’s Fourth Observing Run”. Classical and Quantum Gravity, 2025, doi:10.1088/1361-6382/adf58b.