Proportional Representation
Proportional representation (PR) aims to ensure that subgroups within a population are represented in proportion to their size, addressing issues of fairness and inclusivity in various contexts. Current research focuses on developing and analyzing algorithms and metrics for achieving PR in diverse applications, including multi-winner elections, clustering, and information retrieval, often employing techniques from computational social choice and optimization. These advancements have implications for mitigating bias in machine learning, improving the fairness of decision-making processes, and enhancing the representativeness of data and search results.
Papers
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