Climate Negotiation and Fair Climate Policy

Climate change is a global commons problem in which causes, impacts, and responsibilities are distributed highly unevenly across countries, communities, and generations. While international cooperation is essential for effective climate action, climate negotiations remain hindered by strategic behaviour, unequal capacities and vulnerabilities, and persistent disagreement over what a fair climate policy should look like. At the same time, the models commonly used to inform climate policy often struggle to represent distributional inequalities, political feasibility, and normative uncertainty in sufficient detail.

This workshop aims to bring together researchers from economics, computer science, political science, and related social sciences to advance the modelling of climate negotiations and fair climate policy. By connecting integrated assessment models with agent-based modelling, multi-agent reinforcement learning, and justice-oriented evaluation frameworks, the workshop will explore how fairness considerations can be incorporated more explicitly into the analysis of international climate cooperation. Participants will exchange methods, compare modelling approaches, and identify opportunities for shared conceptual and computational tools that can better capture negotiation dynamics, equity concerns, and socially sustainable policy pathways.

A central goal of the workshop is to help build an interdisciplinary research community around climate negotiation and fairness-aware climate modelling. Through survey talks, tutorials, collaborative work groups, and open discussion, the workshop will foster a shared vocabulary across disciplines and lay the groundwork for future joint research. In doing so, it seeks to contribute to a new generation of climate-policy models that are not only analytically robust, but also more attentive to justice, legitimacy, and real-world feasibility.