Voting Rule

Voting rules, which aggregate individual preferences into collective decisions, are a central topic in social choice theory, aiming to design fair and efficient mechanisms for elections and other collective decision-making processes. Current research focuses on developing and analyzing new voting rules, particularly for multi-winner elections and scenarios with incomplete or dynamic preferences, often employing computational approaches like neural networks and algorithms for computing explanations and identifying optimal strategies. These advancements have implications for improving the fairness and efficiency of real-world voting systems, as well as informing the design of algorithms in related fields like recommender systems and machine learning.