TL;DR: Salesforce Research and Mila announce AI for Global Climate Cooperation, a working group collaboration and competition to design negotiation protocols and climate agreements. We plan to coauthor a peer-reviewed scientific paper with top-performing teams; insights will be distilled into a policy brief shared with leading policymakers, informing future climate negotiations and contributing to collaborative solutions to mitigate climate change globally. Learn more at www.ai4climatecoop.org and join us!
We are excited to announce AI for Global Climate Cooperation, a working group collaboration and competition on designing negotiation protocols and climate agreements. This initiative is co-organized by Mila and Salesforce Research.
Modeling how to achieve and maintain climate cooperation is an interdisciplinary challenge, intersecting a diverse range of fields – from AI to economics to law, and many more. This is an underexplored area of research that is highly relevant to real-world climate policymaking. Join our working group and competition to contribute your expertise!
Climate change is happening fast. The latest IPCC report warns that it is ‘now or never’ if the world is to stave off climate disaster. However, it is still a race we can win. Propose and test your own climate agreement and negotiation protocols and see if they lead to a better future.
AI for Global Climate Cooperation invites and embraces all researchers from relevant disciplines, including machine learning, economics, agent-based modeling, game theory, behavioral science, mathematics, computer science, climate modeling, ethics, (international) law, political science, international relations, and more. We do not expect a single participant to know all of the above subjects. Instead, we hope people across disciplines will work together. You can find teammates in our Slack channel; we will also help you find teammates.
We believe this working group collaboration and competition opens the way for beneficial contributions to several different areas in research and policy, so we encourage a wide variety of innovative thinkers to register and join us on this journey, including:
AI researchers, economists, climate scientists: Good policy recommendations require rigorous and grounded technical work. Here are just a few examples on how you can contribute:
Ethics, legal, 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.
We call on and strongly encourage researchers from all disciplines to collaborate, evaluating their climate impact using RICE-N, an open-source climate-economic simulation that supports modeling AI agents. RICE-N models how economic activity impacts temperatures, and how temperatures in turn affect productivity. Moreover, RICE-N models multiple regions, each trading, negotiating, investing, and mitigating climate change (or not). Each region’s behavior can be modeled using AI, and RICE-N provides a convenient interface and example code to do so. More details can be found in the open-source repository https://github.com/mila-iqia/climate-cooperation-competition.
Furthermore, we intend to have real-world impact.
First, we plan to form a diverse working group with interested competition participants – in particular, teams whose findings are of sufficient scientific or policymaking novelty. The working group will write a research paper based on the findings in the competition.. This work will be submitted to a peer-reviewed journal and undergo rigorous scientific and ethical use review.
Following this, given suitable findings, we intend to write a policy brief with actionable insights for policymakers, which will be distributed and promoted through our partners. We also plan to organize a marketing campaign around the findings of the competition.
While the intention of this challenge is to stimulate innovative solutions to climate change, there are some potential unintended consequences, including the carbon footprint of running the simulation, the economic disparities that can exist with climate negotiations, and the potential extensibility of this simulation to the real world. Teams should consider these potential consequences; the ethical implications of solutions will be considered in Tracks 2 and 3 of the competition.
The competition has three tracks:
After the submission period has ended, we plan to organize a workshop in March 2023. Top performing teams will be invited to present their work there.
We also invite all teams to submit a workshop-style paper (via OpenReview) to document their findings, which will be peer-reviewed and published in the competition proceedings.
For more information, please check out the following:
We kindly request that you distribute this message to your networks, and we hope you’ll join us in this new initiative!
Stephan Zheng (www.stephanzheng.com) leads the AI Economist team at Salesforce Research, working on deep reinforcement learning and AI simulations to design economic policies.
Anna Bethke is a Principal Data Scientist focused on fair, accountable, transparent, and explainable (FATE) AI in Salesforce’s Ethical AI Practice Team.
Donald Rose is a Technical Writer at Salesforce AI Research, specializing in technical content creation for blog posts, video scripts, newsletters, media/PR material, workshops, and more.