GCRI · Mathematics, statistics and data
Spatial intelligenceObservations, models and their uncertainty in one view
Game theory and mechanism design study strategic interaction among decision makers and the design of rules that lead to desired outcomes. They explain cooperation, free riding and incentives in shared-risk settings. Policy Nexus stewards this page for the Nexus Consortium.
non-cooperative game analysis; cooperative game analysis; mechanism and auction design; bargaining models; evolutionary game theory; experimental games.
laboratory experiments; field behaviour data; negotiation records; market and auction data; institutional rule sets.
Predictions are tested through laboratory and field experiments and comparison with observed behaviour. Mechanism designs are piloted before scaling.
Assumptions of rationality and common knowledge often fail. Real settings involve many players and incomplete information.
Game theory clarifies why actors underinvest in shared risk reduction and how agreements can be made self-enforcing. It informs the design of risk pools, treaties and incentive schemes.
| Reference | What it sets |
|---|---|
| Mechanism design | Rules that align incentives |
| Transboundary water and climate negotiation analysis | Cooperation problems |
| OECD risk governance work | Coordination of actors |
Systemic resilience is partly a public good: each actor benefits from others' investment. Game theory explains under-investment and designs mechanisms (pooling, standards, contracts) that change incentives. It is a tool for understanding, not a prediction of behaviour.
Policy Nexus stewards game theory and mechanism design: it keeps this description current and reviews how the method is applied across the platforms.
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