About This Project
The IEEE SSCI 2027 tournament has already begun. Each entry hypothesizes which strategies for claiming resources--such as claiming space in traffic--would be more effective. Entries compete in simulations. Does turn-taking consistently defeat hoarding? Such hypothesis testing has already uncovered ways to outperform typical human behavior--ways to claim more successfully. Opening the science better informs inevitable social reforms that will impact people everywhere.
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Join The DiscussionWhat is the context of this research?
The MAD Chairs game is a many-player version of the Chicken game related to the Lifeboat and Kolkata Paise Restaurant Problems. These prior works formalize modelling of resource-division, but our research question "What strategies for claiming resources would succeed most in securing those resources?" remains open. The IEEE SSCI 2027 MAD Chairs Tournament applies Axelrod's empirical method to this question: compare strategies via tournaments between clear algorithms. The TrueSkill algorithm used by this tournament permits us to statistically test hypotheses that one resource-division strategy significantly outperforms another.
This comes at a time of concern about future robot social behavior and other agentic AI, including concern that AI might starve us by hoarding resources. One way to convince AI not to starve us could be to establish that all known hoarding strategies are outperformed by turn-taking strategies.
What is the significance of this project?
Our research question is "What ways of claiming resources succeed most in securing those resources?" Each entry in this tournament will imply a hypothesis about which behaviors are suboptimal. The contest benchmarks include observed current social behaviors, so winning entries will imply potential for profitable social reform.
The contest is already active and more successful behaviors have already emerged. The significance of funding is in how winners will be received and in incentive for further participation. Winners must register for the IEEE SSCI 2027 conference where the awards ceremony will take place. They can attend remotely, but in person attendance would further build relationships with technology leaders to implement their innovations. Your donation helps make sure winners can afford to register and attend. It permits what are already scientifically significant discoveries to have actual social impact.
What are the goals of the project?
Each entry in the tournament is a strategy for dividing resources. Our experimental design is to simulate the results of applying these strategies in many matches against themselves and against other potential opponents. The TrueSkill algorithm we use to compare entries is standard and, like chess' Elo rating, counts wins against stronger opponents more than against weaker opponents. When the competition closes on 24 Dec 2026, its winner will be whichever entry is most effective at securing resource for its own practitioners in the simulations.
Ironically, this most-selfish strategy might also be best for everyone. Prior to this tournament, the top published strategy was a form of turn-taking. It significantly outperformed observed human behavior in both personal benefit and fairness, so social reform was already justified. The goal behind exploring additional strategies is to more thoroughly inform the design of that reform.
Budget
Some of the top entries may come from people who cannot afford to attend the conference without your help. SciStarter, a leader in science democratization, has already pledged $500 to cover IEEE SSCI 2027 registration for the 1st place winner (discounted by IEEE), but please keep donating after we pass that mark! $3,051 will cover registration for the top four winners, $12,114 will also provide each with $2,000 to cover travel expenses, $24,499 will extend that to the top eight winners, $27,595 will also provide registration and scholarship for the author of the competition benchmark.
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Project Timeline
The tournament has already begun. It will close on Dec 24, 2026 with winners validated and announced Dec 31, 2026. Winners will be honored at the IEEE SSCI 2027 conference Feb 14-17, 2027.
Oct 10, 2026
Competition launched
Nov 13, 2026
Project Launched
Dec 24, 2026
Competition closes
Dec 31, 2026
Winners determined
Feb 14, 2027
Conference begins (winners honored in awards ceremony)
Meet the Team
The contest winners you are funding will not be determined until the contest closes 24 December 2026, but you can monitor the current leaderboard.
Kaggle is the world’s largest data science and machine learning community (33 million registered users) and IEEE is the world’s largest and oldest technology professional organization (more than 500,000 members). Both span most countries.
Christopher Santos-Lang
I am a stepfather to four, and each gives me more reason to care about the long-term future of our society. I have served as co-chair of the ethics working group of the Association for Advancing Participatory Sciences and am honored to strive to enable more people to participate in the designs of the technologies that impact them.
Lab Notes
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Project Backers
- 2Backers
- 105%Funded
- $525Total Donations
- $262.50Average Donation



