معرفی
Paul Gölz is an Assistant Professor at the School of Operations Research and Information Engineering, Cornell University. His research focuses on the intersection of computer science, economics, and social choice theory, emphasizing algorithmic fairness, optimization, and democratic innovation. He holds affiliations with the Computer Science and Operations Research & Information Engineering graduate fields. Gölz explores topics such as fair division, randomized apportionment, and equitable resource allocation, with applications in refugee resettlement, citizens' assemblies, and kidney exchange systems. His work bridges theoretical computer science with practical societal challenges.
Research interests include social choice theory, fair algorithms, and optimization under constraints. He investigates how computational methods can address equity in voting systems, public policy, and resource distribution. His recent articles highlight innovations in apportionment mechanisms, envy-free allocations, and deliberative democracy through submodular optimization. Gölz's interdisciplinary approach tackles issues like bias mitigation in sampling and incentive-compatible market design.
His publications reflect a commitment to applying rigorous mathematical frameworks to real-world problems, such as minimizing distortion in AI alignment and designing fair citizen selection processes. While no scientific awards are explicitly listed, his contributions to algorithmic fairness and social choice indicate significant scholarly impact. Advising and grant details are not provided, but his research demonstrates active engagement with cutting-edge computational social science.
