Kate Donahue
Assistant Professor
Studies algorithmic questions about the societal impact of AI, including fairness, human-AI collaboration and game-theoretic models of federated learning.
Kate Donahue's lab at UIUC works on trustworthy & safe ML, human-AI collaboration & trust and data management & big data. 8 papers since 2023, 5 at top venues, mostly AAAI and EC. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 63%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 2 papers2024 · T1 2
- 1 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, EC, ICML, WWW
Research focuspaper titles that use each topic's words
- Human-AI collaboration & trust2 papers
- Trustworthy & safe ML1 paper
- Data management & big data0 papers
- studies algorithmic0 papers
- societal0 papers
Paper list
From DBLP.
20262 papers
20253 papers
20242 papers
20231 paper
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
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