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Thinking Critically About Fair Clustering: Past, Present, and Future

Introductory Workshop: Algorithms, Fairness, and Equity August 28, 2023 - September 01, 2023

August 29, 2023 (01:30 PM PDT - 02:30 PM PDT)
Speaker(s): Brian Brubach (Wellesley College)
Location: SLMath: Eisenbud Auditorium, Online/Virtual
  • algorithmic fairness

  • clustering

  • facility location

  • unsupervised learning

  • optimization

  • approximation algorithms

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Secondary Mathematics Subject Classification

Thinking Critically About Fair Clustering


Fair clustering encompasses a diverse group of fundamental optimization problems spanning many subdomains from unsupervised learning in machine learning to facility location in operations research. This talk will provide a broad overview of common problems and algorithmic techniques in the fair clustering literature with a particular focus on k-clustering objectives (e.g., k-center, k-means). We will then discuss challenges and opportunities for growth in this nascent research area.

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Thinking Critically About Fair Clustering

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