Kevin Leyton-Brown, University of British Columbia

Research

Read how they describe their research on their University of British Columbia profile.

artificial intelligence (AI)machine learning (ML)game theory auction theory market design behavioral economics electronic commerce algorithms discrete optimization

Latest papers

How malicious AI swarms can threaten democracy.
Science (New York, N.Y.) · 2026
Economics and computer science of a radio spectrum reallocation.
Proceedings of the National Academy of Sciences of the United States of America · 2017 · first author

All 2 publications

Latest funding

Learning Models of Strategic Behaviour
NSERC · 2023 · Principal investigator
$118,000
Advanced Machine Learning Training Network (AML-TN)
NSERC · 2023 · Co-investigator
$450,000
UBC ML Computational Cluster
NSERC · 2021 · Co-investigator
$150,000

All 9 grants and awards

2 publications.

01

How malicious AI swarms can threaten democracy.

Schroeder DT, Cha M, Baronchelli A, Bostrom N, Christakis NA, Garcia D, Goldenberg A, Kyrychenko Y, Leyton-Brown K, Lutz N, Marcus G, Menczer F, Pennycook G, Rand DG, Ressa M, Schweitzer F, Song D, Summerfield C, Tang A, Van Bavel JJ, van der Linden S, Kunst JR

Science (New York, N.Y.)2026

DOI: 10.1126/science.adz1697 PMID: 41570131

02

Economics and computer science of a radio spectrum reallocation.

Leyton-Brown K, Milgrom P, Segal I

Proceedings of the National Academy of Sciences of the United States of America2017First author

DOI: 10.1073/pnas.1701997114 PMID: 28652335

Learning Models of Strategic Behaviour

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Leyton-Brown, Kevin

Keywords: game theory; machine learning; artificial intelligence; behavioural models; combinatorial auctions; mobile gaming; peer review; ai for social impact

$118,000

Advanced Machine Learning Training Network (AML-TN)

Co-investigatorNSERC2023Collaborative Research and Training Experience

Principal investigators: Wood, Frank FD

Keywords: artificial intelligence; computer vision; differential privacy; human-centered ai; inference; kernel methods; machine learning; natural language processing; optimization; probabilistic programming

$450,000

UBC ML Computational Cluster

Co-investigatorNSERC2021Research Tools and Instruments

Principal investigators: Wood, Frank

$150,000

Data-Driven Market Design

Principal investigatorNSERC2017Discovery Grants Program - Individual

Principal investigators: Leyton-Brown, Kevin

$426,000