Why participate?

First of all, come learn and innovate! We want to motivate you to do original research in this scientific area. Our competition is a way to test and compare your ideas. Our jury will also provide feedback on your solutions and ideas.

We will organize a workshop in December 2022. Top performing teams will be invited to present their work there. We also invite all teams to submit a workshop-style paper to document their findings, which will be peer-reviewed and published in the competition proceedings. Check out our schedule to learn more!

We plan to write a research paper based on the findings in the competition, coauthored by the working group. We will invite teams as coauthors whose findings are of sufficient scientific or policymaking novelty. This work will be submitted to a peer-reviewed journal. This work will also be reviewed for ethical use.

Given sufficient findings, we intend to write a policy brief with actionable insights for policymakers. This brief will be distributed and promoted through our partners. We also plan to organize a marketing campaign, e.g., through blogs and press releases around the findings of the competition.

AI researchers, economists, climate scientists, behavioral scientists, and others

Good policy recommendations require rigorous and grounded technical work. Here are just a few examples of how you can contribute!

  • Implement negotiation protocols and climate agreements.
  • Extend the RICE-N climate-economic simulation to include more economic or climate features that may be necessary.
  • Model real-world agents using AI and domain knowledge.
  • Develop machine learning algorithms to enable rigorous experiments and analysis.
  • Visualize and analyze the outcomes under your proposed solution.
  • Work together with domain experts to understand what real-world requirements are important for your analysis and proposal.

Ethics, legal, and policy experts

Good science needs to be translated into good policy. Domain expertise (outside of AI, economics, or climate science) is crucial to help shape the analysis and communication of the results.

  • AI-driven policy analysis is an open research challenge. For example, what does "good" mean from a non-technical perspective?
  • What requirements are there for AI-driven policy analysis? For instance, regarding transparency, explainability, robustness, ethics, fairness, legality, precedence, and other dimensions?
  • Communicating outcomes to governments is just as necessary as the research itself. You could contribute to clear communications as well as defining actionable insights and targeted recommendations.