The Global Learning for Adaptive Management (GLAM) is an initiative envisioned as a globally networked learning alliance that aims to actively identify, operationalise and promote rigorous evidence-based approaches to adaptive management. GLAM has a legacy of research on effective monitoring, evaluation and learning (MEL) for Adaptive management (MEL4AM) and a library focused on adaptive and MEL4AM work.
Findings, Conclusions, and Recommendations from Four Missions
Additional Help: Activity Monitoring, Evaluation, and Learning Plan Template
This resource describes practical steps and effective practices for planning and conducting a site visit.
A great overview of how to frame and direct PEA to be practical
Recommendations for multilateral funding agencies to increase the use of forest monitoring tools across development sectors, as a matter of policy and practice to meet sustainability goals.https://bankinformationcenter.org/en-us/update/forest-monitoring-what-can-world-bank--others-do/
This resource describes how to conduct at least one portfolio review per year that focuses on progress toward strategy-level results.
Techniques for achieving results and tracking progress in the fluid and rapidly changing operating environment of authoritarian-ruled Belarus.
There is a growing recognition that political economy analysis (PEA) is an essential aspect of external donor assistance to complex health reform processes. USAID’s Vision for Health Systems Strengthening (2015–2019), for example, recognizes that “broad political economy issues often drive health systems organization,...
Successfully adapting your programmatic efforts and policy engagement to the context depends on maintaining your understanding of that context. Given this, continuous learning and feedback loops--not only about your programming, but also about the environment you are working within--are important...