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 4, 2026 Notification of Acceptance: June 6, 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

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 (c*****************p@gmail.com) Arpita Biswas, Eva Deltl, Hadi Hosseini, Joshua Kavner, Sanjukta Roy, Šimon Schierreich, and Yair Zick