Record Details

Building the adaptive capacity of institutions towards managing climate security: a social learning approach

CGSpace

View Archive Info
 
 
Field Value
 
Title Building the adaptive capacity of institutions towards managing climate security: a social learning approach
 
Creator Medina, Leonardo
Schapendonk, Frans
Caroli, Giulia
Pacillo, Grazia
Hellin, Jonathan
Läderach, Peter
Bonatti, Michelle
 
Subject climate change
food systems
agriculture
 
Description 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.
 
Date 2022-12
2023-01-19T17:44:03Z
2023-01-19T17:44:03Z
 
Type Report
 
Identifier Medina L., Schapendonk F., Caroli G., Pacillo G., Hellin J., Laderach P., Bonatti M. 2022. Building the adaptive capacity of institutions towards managing climate security: a social learning approach.CGIAR FOCUS Climate Security
https://hdl.handle.net/10568/127606
 
Language en
 
Relation https://hdl.handle.net/10568/116266
 
Rights Other
Open Access
 
Format 13 p.
application/pdf
 
Publisher Alliance of Bioversity International and CIAT