Dallas Card

Dallas Card

Email: dalc@umich.edu
Office: North Quad 3421
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Google Scholar, ORCiD

I am an assistant professor in the School of Information at the University of Michigan. Before that, I was a postdoctoral researcher in the Stanford NLP Group and the Stanford Data Science Institute. I received my Ph.D. from the Machine Learning Department at Carnegie Mellon University, where I was advised by Noah Smith.

My research centers on making machine learning more reliable and responsible, and on using machine learning and natural language processing to learn about society from text.

For prospective Ph.D. students

I am hoping to admit new Ph.D. students to start in Fall 2025, and I am especially interested in working with students who are excited about the intersection of NLP, machine learning, and historical or cultural analytics.

If you are interested in working with me, please apply to the University of Michigan School of Information. I strongly recommend that you do NOT email me directly. As long as you list me as a potential advisor, I will be sure to see your application.

For prospective postdocs

I am open to being an AI mentor for the Schmidt AI in Science postdoc program, but note that this program is exclusively dedicated to pursuing research in AI for Science (excluding social sciences and humanities). If you are interested in applying, please send me a brief proposal of what you are interested in working on, and who you have in mind to serve as your scientific mentor.



Updates


Current Ph.D. Students


Selected Publications

Recent Professional Service

  • FAccT steering committee member (2023-2024)
  • Co-organizer of the NLP+CSS workshop at NAACL 2024, June 21 in Mexico City.
  • Co-organizer of the 2024 Midwest Speech and Language Days, April 15-16th, University of Michigan
  • Area Chair for ACL Rolling Review (2024, 2023), ACL (2023), FAccT (2024, 2023), NAACL (2021)
  • Reviewer for COLM (2024), ACL Rolling Review (2022, 2021), ACL (2022, 2021), EMNLP (2022, 2021), NAACL (2022, 2021) TACL (2023, 2022, 2021), EMNLP Ethics reviewer (2023, 2022, 2021), FAccT (2022), AAAI (2022, 2021), AIES (2023), International Journal of Communication (2024), The Web Conference (2023), Philosophy and Technology (2021), PeerJ (2021)

About me

I'm originally from Winnipeg, but I have also lived in Toronto, Waterloo, Halifax, Sydney, Kampala, Pittsburgh, Seattle, Palo Alto, and now Ann Arbor.

I am an occasional guest on The Reality Check podcast. You can hear me in episodes #466 (biased algorithms), #382 (deep learning), #362 (Simpson's paradox), and #227 (fMRI and vegetative states).

[short bio for talks]


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