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A growing body of research indicates that aid agencies are most successful when able to operate flexibly, particularly in fragile environments. Yet our systems and tools are often too rigid to effectively address complex problems, and program incentives frequently undermine adaptation instead of supporting it. To drive improvements in impact we need to be better able to analyse the dynamics of a given situation, anticipate how these might evolve, and be sufficiently agile to adapt to changes in context and need.
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Everything we know about solving the world's problems is wrong. Out: Plans, experts and above all, leaders. In: Adapting - improvise rather than plan; fail, learn, and try againIn this groundbreaking new book, Tim Harford shows how the world's most complex and important problems - including terrorism, climate change, poverty, innovation, and the financial crisis - can only be solved from the bottom up by rapid experimenting and adapting.From a spaceport in the Mojave Desert to the street...
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A discussion of initial learning emerging from the SLRC ’Adaptive approaches to reducing teenage pregnancy in Sierra Leone’ action research project.
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This briefing note focuses on the remote collection and use of data for adaptive management during the Covid-19 pandemic, setting out key considerations to help practitioners think through a transition from more ‘traditional’ monitoring, evaluation and learning (MEL) to MEL for adaptive management (MEL4AM) that reflects the unique data collection challenges presented by Covid-19. The brief provides an overview of some key considerations in remote data collection, when this is required, and...
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On current trends, it will take decades or longer to bring basic services to the world’s most disadvantaged people. Meeting this challenge means recognising the political conditions that enable or obstruct development progress - a radical departure from the approach of the Millennium Development Goals.
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The purpose of this paper is to provide funders and implementers of market systems development (MSD) projects with principles, practices, and structures that enables these projects to thrive. It is based on a book that has sold millions of copies worldwide, and a school of thought taught at institutions such as Harvard Business School and practiced in companies ranging from giants such as Toyota to the most successful tech start-ups in Silicon Valley. Published in 2011, Eric Ries wrote the...
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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about...
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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle.
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Anna L. Ahlers and Gunter Schubert, ’Adaptive Authoritarianism’ in Contemporary China: Identifying Zones of Legitimacy Building, in: Deng Zhenglai and Guo Sujian (eds), Reviving Legitimacy: Lessons for and from China, Lanham: Lexington Books (2011),
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After 3 years in DFID headquarters, championing adaptive approaches to the delivery of aid and development programmes, I am back in an…
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Nearly all challenges in international development tend to be complex because they depend on constantly evolving human behaviour, systems, and contexts, involving multiple actors, entities, and processes. As a result, both the discovery and scaling of innovations to address challenges in development often involve changes in system behaviour or even system-level transformation. This is rarely a linear process over time and can result in unexpected outcomes. Existing evaluation techniques...
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The coronavirus pandemic poses unprecedented challenges to science, policy and the interface between the two. How – and how quickly – policy-makers, practitioners and researchers react to this emerging and complex crisis is making a profound difference to people’s lives and livelihoods (WHO, 2020). But how can we ensure effective collective decision-making on the basis of emerging evidence, changing trends and shifting scientific understanding, all in the face of considerable uncertainty?...
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The purpose of this Adaptive Learning Guide is to provide MOMENTUM project teams with the information and resources to integrate adaptive learning into the design, implementation, and improvement of MNCH/FP/RH programs. This guide provides a conceptual introduction to adaptive learning using links to existing resources and real-world examples of how adaptive learning can drive continuous learning and improvement in project work. The guide is built upon three foundational assumptions: We work...
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