As resilience programming gains more and more prominence as an approach for addressing chronic vulnerability of populations exposed to recurrent shocks and stressors, empirical evidence will be needed for measuring how well households, communities, and systems manage shocks and stressors and how interventions and programmes that are designed to strengthen these capacities, perform.
However, despite progress on the conceptual side, academics, practitioners and donors are still struggling with pragmatic issues – in particular, how to measure, and monitor and evaluate resilience interventions. Developing a robust resilience measurement and Monitoring and Evaluation (M&E) framework is therefore a priority. The objective of this paper is to contribute to this agenda. After reviewing some of the progress made recently in relation to resilience measurement, the paper adopts a logical framework (logFram) and uses both theoretical and empirical examples to present the different components that an project M&E needs to include in order to monitor adequately resilience.
