Fair division—the study of how to divide resources among interested agents so that the agents receive their fair share—has long been an important topic of study in mathematics and economics. Its ubiquitous applications range from settling divorce disputes and dividing inheritance to sharing apartment rent and splitting household tasks. While the topic continues to be popular among mathematicians and economists, the past decade or so has seen a considerable rise in interest in the area from computer scientists and multi-agent system researchers, leading to an abundance of interactions and collaborations between different disciplines. These special issue is intended to provide a forum for this research, by identifying current trends and hot topics, as well as offering a unified vision of the field.
The special issue targets high-quality papers discussing relevant topics for the current research on fair division. We welcome both original research papers and surveys on areas of particular interest to the fair division community; we particularly encourage work that describes applications of fair division algorithms in the real world.
The following is a non-exhaustive list of topics that we would like to cover in the special issue:
- Algorithms and complexity in fair division
- Axiomatic characterizations of fair allocation mechanisms
- Cake cutting problems
- Computer-aided techniques for fair division problems
- Experiments on resource allocation
- Fair allocation of indivisible items
- Fairness in budget allocation
- Models and applications of fair division
- Resource distribution in multiagent systems
- Strategic issues in fair division
Edith Elkind is a Professor at University of Oxford, where her work is supported by an ERC Starting Grant. She obtained her PhD from Princeton in 2005, and has held positions in UK, Israel and Singapore since then. Her interests are in algorithmic game theory and computational social choice, and she has published over 100 papers in top AI and algorithmic game theory venues on these topics. She has served as a program chair of AAMAS’15 and ACM EC’18 and a general chair of AAMAS’19, and she was recently elected to be the program chair of IJCAI’23. She serves on editorial boards of several journals, including Journal of Autonomous Agents and Multiagent Systems, Artificial Intelligence Journal, ACM Transaction on Economics and Computation and Social Choice and Welfare.
Nicolas Maudet is a Professor in Computer Science at Sorbonne University, and a member of LIP6 laboratory. He conducts research in artificial intelligence, multi-agent systems, and computational social choice, and has published several papers on fair division. He is an Associate Editor of the Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS), and an Editorial Board member of the Journal of Artificial Intelligence Research (JAIR).
Warut Suksompong is a postdoctoral researcher in computer science at the University of Oxford. He completed his PhD at Stanford University, and his bachelor’s and master’s degrees at Massachusetts Institute of Technology. His research interests include algorithmic game theory, computational social choice, and mechanism design. He has published papers in computer science, economics, mathematics, and operations research venues, including several papers on fair resource allocation and decision making. He co-presented a tutorial on fair division at the 27th International Joint Conference on Artificial Intelligence (IJCAI 2019).
Submission deadline: March 1, 2021
Authors’ first notification: June 15, 2021
Submission of revised papers: Aug 1, 2021
Final acceptance: Oct 15, 2021