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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.
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This brief explores the issues and learning related to work the USAID/Honduras Transforming Market Systems (TMS) Activity has been leading to support both public- and private-sector stakeholders to generate and use metrics and data for decision-making, setting economic growth agendas, building alliances, and adapt to changing circumstances.
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| By Dun Grover
From February to June 2020, the DRG Center is hosting a series of virtual panel discussions titled "The DRG Tipping Point."
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A guide on local philanthropy as an element of societal self-reliance.
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A Guide to Hiring Adaptive Employees
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A decision tree for managing interventions adaptively
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In the first week of 2018, USAID's Center of Excellence on Democracy, Human Rights, and Governance hosted an excellent presentation and discussion with Milica Panic, the chief of party of the Liberia Accountability and Voice Initiative (LAVI), implemented by DAI. LAVI is considered an archetype example of a program...
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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,...
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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...
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These tips are part of a series of tips and resources to support context-driven adaptation in programming. For other resources, see the public version of the Context-Driven Adaptation Collection or the internal staff version.While immediate programming benefits when it is implemented in a way that...
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