[CFP] IJCAI'24 Workshop on Computational Fair Division

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Arpita Biswas

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Apr 15, 2024, 4:23:58 PM4/15/24
to Women in Machine Learning

Dear all, We are pleased to announce the Second Workshop on Computational Fair Division (CFD), co-located with the International Joint Conference on Artificial Intelligence (IJCAI) in Jeju, South Korea, August 3-9, 2024.

CFD Website: https://sites.google.com/view/fairdivisionworkshop2024/call-for-contributions. 

Submission link: https://openreview.net/group?id=ijcai.org/IJCAI/2024/Workshop/CFD


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

  • Submission Deadline: Apr 26, 2024

  • Notification of Acceptance: May 26, 2024

  • One-day workshop: Aug 5, 2024

Papers should be submitted in IJCAI format, with 8 page limit (excluding references).

 

 

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. 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

  • House allocation

  • Constrained fair division

  • Uncertainty & distortion in fair division

  • Practical applications of fair division (in healthcare, education, sustainability, etc.)

  • 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 the notification of acceptance. We gratefully acknowledge generous support from the Artificial Intelligence Journal (AIJ). 



Best regards,

CFD Organizers (Arpita Biswas, Aris Filos-Ratsikas, Hadi Hosseini, Joshua Kavner, Justin Payan, Sanjukta Roy, Rohit Vaish, and Yair Zick)


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