Using complexity science and program theory to tailor your adaptive management system
Techniques for achieving results and tracking progress in the fluid and rapidly changing operating environment of authoritarian-ruled Belarus.
CLA and Developmental Evaluations
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...
As part of the Learning About Learning (L-squared) initiative, this one-pager describes lessons learned on the importance and role of feedback loops from the KDMD experience including a definition, value proposition, implementation process and recommendations, and a mini-case study.
Written for non-profits, implementing partners can use this to support their monitoring, while USAID can use it for learning about their programs through monitoring CDCS/ CLA.
This is a valuable resource on the evaluation of the KM and Institutional Learning (IL) at the Swiss Agency for Development and Cooperation (SDC).
This assessment guide outlines and identifies assessment objectives, participants, organization/facilitation, and result interpretation of health information systems.