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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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This paper lays out a series of steps people can take to create the new systems we need to meet shared, public challenges. Systems are ubiquitous and powerful. We rely on them to support our daily lives: every time we turn on a tap, flick a switch for electricity, drop our child at school, jump on a bus or visit a doctor we rely on a wider system. There is a widespread sense, among decision makers and citizens that in the coming decades society will need not just new products, software and...
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Development and radical uncertaintyFeinstein, O. - 2020 - Development in Practice, 30(8), 1105–1113
Development strategies, programmes and projects are designed making assumptions concerning several variables such as future prices of outputs and inputs, exchange rates and productivity growth. However, knowledge about the future is limited. Uncertainty prevails. The usual approach to deal with uncertainty is to reduce it to risk. Uncertainty is perceived as a negative factor that should and can be eliminated. This article presents an alternative approach which recognises that radical...
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This thesis applies ideational and institutional theories to analyse how two specific ideas, results and adaptation, have changed the theory and practice of development cooperation. The thesis addresses the question of why the results and adaptation ideas are often treated as binaries and how this debate has evolved historically. In a first theoretical paper, the evolution of results and adaptation is conceptualised as a combination of institutional layering and diffusion within development...
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Does the choice of monitoring and evaluation (M&E) approaches and tools matter for adaptive programmes? In short, yes: monitoring, evaluation and learning (MEL) and adaptive management (AM) are intertwined. While programme monitoring data and evaluation results are not the only sources of evidence that programmes use for learning and iteration, they often are amongst most important ones — or at least they should be. Selecting what type of information to collect and analyse — and how — is...
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In September of 2014, USAID’s Office of Learning, Evaluation & Research (LER) awarded the Learning and Knowledge Management (LEARN) contract to Dexis Consulting Group and subcontractor RTI International.1 This document—the End of Contract Report—captures five and half years of results and reflections for our stakeholders. Our intention is to share the good and the bad, and while this report would not be considered a “tell all,” we think we have a story worth sharing, particularly to USAID...
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Most people agree that monitoring and evaluation (M&E) should be used for both learning and accountability. However, there is no consensus about which one is more important. The debate matters as there is sometimes tension between the two purposes. In the past there has often been a disconnect between M&E and learning. Many M&E systems are primarily designed to enable accountability to donors.
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Internal and external stakeholders have different information needs over a project’s life, for purposes that include adaptive management, accountability, compliance, reporting and learning. A project’s monitoring, evaluation, accountability and learning, or MEAL, system should provide the information needed by these stakeholders at the level of statistical reliability, detail and timing appropriate to inform data use. In emergency contexts where the situation is still fluid, ‘informal...
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- This short paper draws out lessons for working effectively with and through partners, based on the experience of the Institutions for Inclusive Development (I4ID) programme – an adaptive, politically smart governance programme in Tanzania. • Cultivating effective partnerships can be a key part of delivering locally legitimate projects that have the potential to create sustainable change. Adaptive and politically informed ways of working create specific opportunities and challenges for...
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Systemcraft is our applied framework to help leaders and organisations get started and keep going when faced with complex problems. It is built on our practical experience. It draws on a broad body of research, action and theory from the worlds of complexity thinking, systems theory, adaptive management, leadership development, social movements, development theory and beyond. Systemcraft has been designed to make systems thinking something any leader can apply when they find themselves faced...
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The COVID-19 pandemic has significantly shifted the context in which aid and development is being delivered. The global scale of the pandemic and the speed at which it is spreading mean that the ‘normal’ economic, ideological and organisational influences which shape (if not determine) aid delivery are in flux. This means that – for a relatively short-period – there is scope for aid actors to work collectively to embed more locally-led, politically-informed and adaptive forms of MERL in aid...
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This briefing note looks at how the United States Agency for International Development (USAID) Wildlife Asia programme has operationalised the concepts of adaptive rigour and adaptive management as part of its approach to collaborating, learning and adapting. As described by the Global Learning for Adaptive Management (GLAM) initiative, adaptive rigour is about ensuring that the data, information, methods, processes and systems that underpin adaptive management are robust, systematic and...
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What can middle-level theory do? Middle-level theory (MLT) has several uses in development planning and evaluation. It helps predict whether a programme can be expected to work in a new setting. It offers insights into what design features are needed for success. It provides invaluable information for monitoring to see if the programme is on track and to fix problems that arise. It reveals the causal processes and related assumptions to be tested in an evaluation and helps identify...
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