| Sumario: | The complex nature of climate-related security risks is widely recognized as embodying a collective action problem, thereby requiring a diverse set of actors to mitigate such risks. However, the exact makeup of actor coalitions and the mechanisms to integrate multi-sectoral approaches in programming solutions remain something to be explored under distinct governance systems. This article presents a practical methodological approach to overcome these challenges building upon social learning theory, to foster institutional innovation towards governance systems that are more responsive to climate-related security risks. Social learning is proposed as a governance mechanism to develop multi-stakeholder communities of practice that facilitate climate security-sensitive policies, strategies, and programmes. Outputs from an applied reflexive dialogue evidenced how such a coalition of actors can strengthen capacities to develop locally-owned and adaptive climate action interventions that consciously work to mitigate climate-related security risks.
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