[Event at CIG] Call for Papers - Fourth Workshop on Computational Fair Division (CFD)

[Eva Deltl]

Call for Papers: Fourth Workshop on Computational Fair Division (CFD)


Dear all,


We are pleased to announce the Fourth Workshop on Computational Fair Division (CFD),<https://sites.google.com/view/fairdivisionworkshop2026/call-for-contributions> co-located with the International Joint Conference on Artificial Intelligence (IJCAI)<https://2026.ijcai.org/> 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


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.cfdworkshop at gmail.com<mailto:contact.cfdworkshop at gmail.com>)

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