Markus Brill
Associate Professor of Computer Science
Studies computational social choice and the algorithmic foundations of collective decision making, such as voting rules and proportional representation.
Markus Brill's lab at Oxford works on reinforcement learning, language & society and computational social science. 22 papers since 2023, 14 at top venues, mostly AAAI and EC. 2 PhD students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 64%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 5 · collecting
- 5 papers2025 · T1 2
- 7 papers2024 · T1 3
- 5 papers2023 · T1 4
T1 venuesOtherVenues: AAAI, EC, IJCAI, Artificial Intelligence, NeurIPS
Research focuspaper titles that use each topic's words
- Language & society1 paper
- Computational social science1 paper
- rules1 paper
- Reinforcement learning0 papers
- algorithmic foundations0 papers
Paper list
From the lab homepage.
20265 papers
- IJCAI (T1)Cycles in Liquid Democracy: A Game-Theoretic Justification
- EC (T1)Mixed Voting Rules for Participatory Budgeting
- AAAI (T1)The River Voting Method
- AAAI (T1)Utilitarian Guarantees for the Method of Equal Shares
- NeurIPS (T1)Where Should Society Draw the Line? A Social Choice Approach to Collective Consent
20255 papers
- Artificial Intelligence (T1)Approval-Based Committee Voting under Incomplete Information
- Social Choice and WelfareDynamic Proportional Rankings
- Social Choice and WelfareIndividual Representation in Approval-Based Committee Voting
- Social Choice and WelfareProportional Representation in Matching Markets: Selecting Multiple Matchings under Dichotomous Preferences
- AAAI (T1)Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections
20247 papers
- AAAI (T1)AAAI Press, 2024
- Mathematical ProgrammingApproval-based apportionment
- AAAI (T1)Approval-based committee voting in practice: A case study of (over-)representation in the Polkadot blockchain
- Mathematical Programminglink pdf
- Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Blue Sky Ideas TrackSelecting Representative Bodies: An Axiomatic View
- AAAI (T1)Spatial Voting with Incomplete Voter Information
- Mathematical ProgrammingThe Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based Multiwinner Elections
20235 papers
- AAAI (T1)Multiwinner Voting with Possibly Unavailable Candidates
- IJCAI (T1)Proportionality Guarantees in Elections with Interdependent Issues
- AAAI (T1)Proportionality in Approval-Based Participatory Budgeting
- EC (T1)Robust and Verifiable Proportionality Axioms for Multiwinner Voting
- Advances in Collective Decision Making: Interdisciplinary Perspectives for the CenturySpringer, 2023
Where alumni went4 listed
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- The lab homepage
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