Call For papers
Important Dates
All dates are 11:59pm, Anywhere on Earth (AoE)
Submission Deadline: Apr 26, 2023 Extended to May the 4th, 2023
Notification of Acceptance: May 31, 2023
Upload Camera Ready Revisions on OpenReview: July 31, 2023
1-day Workshop: Aug 19, 2023
Expected Format
Papers should be submitted in IJCAI format, with an 8 page limit. References and supplementary material can be included in the main paper body, and will not count towards the 8 page limit, but reviewers will not be required to read past 8 pages.
Submissions should be submitted on OpenReview at https://openreview.net/group?id=ijcai.org/IJCAI/2023/Workshop/CFD
Anonymity is not required, but anonymous submissions are welcome.
*Submissions are non-archival. Accepted papers will be invited to present posters.
Poster format: Expected size is A0. There will be no poster boards for WS/tutorial days. It is advised that you bring no-nail adhesives for your poster. There will be some adhesives available at the site. Please bring your poster to the venue on 19th Aug morning before 9:00.
Call for Papers
Fair division answers the question of how to allocate resources to agents with competing preferences, typically with some fairness, economic efficiency, and incentive-compatibility guarantees. The field has grown rapidly in recent years, and we now have developed theories that cover many important areas of interest. However, many intriguing, theoretical open questions remain, and even mature algorithms from fair division typically require subtle modifications in practice. The study of fair allocation is defined more by a class of problems rather than specific types of solutions, making it a welcoming home for researchers in many fields. Combinatorial optimization, approximation algorithms, mechanism design, machine learning, and operations research have all been historical workhorses, but new approaches are always needed. This workshop brings together fair division researchers from all walks of life; theoretical, empirical, and applied; to discuss how to apply fair division to the challenges of modern society.
Fair division has been a subject of sustained interest at IJCAI. Many recent winners of the IJCAI Computer and Thought Award have worked on fair division and matching, including Sarit Kraus (1995), Nicholas Jennings (1999), Tuomas Sandholm (2003), Peter Stone (2007), Vincent Conitzer (2011), Ariel Procaccia (2015), Piotr Skowron (2020), and Fei Fang (2021). This year, both the IJCAI Conference Chair Peter Stone and the Program Chair Edith Elkind have published papers in fair division; Prof. Elkind in particular has been deeply involved in the field. Multiple tutorials at last year’s IJCAI covered topics related to fair division (Constraints in Fair Division, Distortion in Social Choice and Beyond, and Mechanism Design without Money), and the M-PREF workshop at IJCAI covers preference learning - an important input to fair division. Surprisingly, there has never been a dedicated IJCAI workshop on fair division… until now!
List of relevant topic areas:
Classic fair allocation of indivisible items
House allocation
Constrained fair division
Uncertainty & distortion in fair division
Practical applications of fair division
Empirical analysis of resource allocation problems
Fair division with learned preferences
Fair division in social networks
Online fair division and matching
Fairness in other resource allocation problems, e.g., matching, apportionment, etc.
Resource allocation in multi-agent systems
Budget allocation
Market design
Combinatorial auctions
Incentives in fair division
Competitive/market equilibria
Cake cutting
Automated theorem proving/SAT solving approaches for fair division
Datasets for and practical implementation of fair division algorithms
Limited travel support is available. More information will be available after notification of acceptance. We gratefully acknowledge the generous support by Artificial Intelligence Journal (AIJ).