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Compiled in partnership between the U.S. Global Development Lab’s Office of Evaluation and Impact Assessment (Lab/EIA) and the USAID LEARN contract, Learning (in the) Lab: A Utilization-Focused Learning Playbook is designed to share with our colleagues the tools and resources we’ve used to design, develop, implement, and iterate upon a bureau-wide, utilization-focused learning agenda called the Lab Evaluation, Research, and Learning (ERL) Plan.
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A quick easy way to handover information in 3 steps
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CLA and Developmental Evaluations
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There is a growing body of evidence suggesting that people struggle to actually use data and evidence to inform their decisions. While there are a number of reasons for this, one of the main reasons is that teams and organizations often fail to internalize the data and evidence they have. If people don’t interpret or...
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While there is no single way to structure any of the processes or documents associated with a PEA, these materials may be supportive of your efforts to consider, plan or conduct applied Political Economy Analysis.
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In 2016, USAID’s Center of Excellence on Democracy, Human Rights, and Governance launched its Learning Agenda—a set of research questions designed to address the issues that confront staff in USAID field offices working on the intersection of development and democracy, human rights, and governance.This literature review...
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Two literature reviews and related infographics explore:(1) Effective Human Rights Campaigns: A new DRG literature review addresses questions about human rights awareness campaigns, including: What makes human rights awareness campaigns successful? Why do many campaigns fail? What are the unintended negative...
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This publication organizes and evaluates the body of current academic theory that can contribute to greater understanding of democratic openings in authoritarian systems. The authors explore why and how these openings may occur, recognizing that most cases of subtle change away from authoritarianism do not necessarily...
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Network analysis can be utilized efficiently and cost effectively to inform ongoing program decision-making, flagging promising innovations for scale-up or scale-back
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