Call for Papers for the 4th Computational Fair Division workshop at IJCAI 2026

6 views
Skip to first unread message

Josh Kavner

unread,
Apr 30, 2026, 11:24:46 AMApr 30
to International Symposium on Artificial Intelligence and Mathematics

Dear all,


We are pleased to announce the Fourth Workshop on Computational Fair Division (CFD), co-located with the International Joint Conference on Artificial Intelligence (IJCAI) in Bremen, Germany, during August 15-21, 2026.

CFD Website: https://sites.google.com/view/fairdivisionworkshop2026/

Submission link: https://openreview.net/group?id=ijcai.org/IJCAI-ECAI/2026/Workshop/CFD

Important Dates — all dates are 11:59 pm, Anywhere on Earth (AoE):

  • Submission Deadline: May 9, 2026

  • Notification of Acceptance: June 8, 2026

  • One-day workshop: August 15-17, 2026

Papers should be submitted in IJCAI format, with a 7-page limit (excluding references).


There will be a 30-minute session for demonstrations of fair division applications.

  • Submission Deadline for the demonstration is  May 22, 2026


The cutting-edge field of fair division has seen explosive growth in recent years, covering a wide range of important areas of interest. Recent advancements have paved the way for ground-breaking research in this area, answering important questions on how to allocate resources to agents with competing preferences while ensuring fairness, efficiency, constraint feasibility, and incentive-compatibility. Moreover, exploring the power and limitations of large language models, agentic AI, and other AI techniques for tackling complex fair allocation decisions has gained a significant amount of interest recently. This workshop brings together computational fairness researchers from all walks of life; theoretical, empirical, and applied; to discuss how to apply fair division to the challenges of modern society.  We invite submissions that push the boundaries of the state-of-the-art in computational fair division on a variety of topics, including:

  • Classic fair allocation of indivisible items

  • Resource allocation problems (e.g., cake cutting, house allocation, matching, or apportionment)

  • Constrained fair division

  • Uncertainty & distortion in fair division

  • Fair division in social networks

  • Budget allocation

  • Market design

  • Competitive/market equilibria

  • Combinatorial auctions or optimization with fairness consideration

  • Perceived fairness; fairness in collective decision-making

  • Proportional representation

  • Apportionment methods

  • Fair representation

  • Fairness in cooperative game theory

  • Incentives in fair division

  • Automated theorem proving/SAT solving approaches for fair division

  • Empirical analysis of resource allocation problems

  • Datasets for and tools demonstrating practical implementation of fair division algorithms

  • ML approaches to fair division (e.g., learned preferences or on-line procedures)

  • Cooperative AI, Agentic AI, and LLM approaches to fair division

  • Applications of fair division approaches to other algorithmic fairness problems (e.g. ranking, fair LLMs, etc)

  • Task allocation in multi-robotic systems


Thank you,

CFD-2026 organizers  (contact.c...@gmail.com)

Arpita Biswas, Eva Deltl, Hadi Hosseini, Joshua Kavner, Sanjukta Roy, Šimon Schierreich, and Yair Zick 


Reply all
Reply to author
Forward
0 new messages