报告人
Jannik Peters
National University of Singapore
时间
2025年6月3日 星期二
下午 14:00-15:00
地点
102报告厅
Abstract
Proportionality is one of the foundational approaches to achieve fairness in computer science and economics. Particularly, proportional fairness is relevant in collective decision-making settings, in which we need to aggregate preferences of agents into a collective decision. In such settings, proportionality postulates that every group of agents should have an impact proportionate to their size on the final decision. I will present my axiomatic approach on how to formalize this intuitive definition of proportionality in various settings such as voting, participatory budgeting, or clustering, and discuss my contributions toward building the axiomatic and algorithmic foundations of collective decision-making. In particular, I will introduce my approach toward defining always satisfiable, explainable yet non-trivial fairness properties.
Biography
Jannik Peters is a Research Fellow at the National University of Singapore. He received his PhD in Computer Science from the TU Berlin advised by Markus Brill and M.Sc and B.Sc degrees from the Hasso Plattner Institute in Potsdam. His research deals with issues in computational social choice and voting theory, in particular with the theory of proportional representation and fairness.
