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With the growing number of rigorous impact evaluations worldwide, the question of how best to apply this evidence to policymaking processes has arguably become the main challenge for evidence-based policymaking. How can policymakers predict whether a policy will have the same impact in their context as it did elsewhere, and how should this influence the design and implementation of policy? This paper introduces a simple and flexible framework to address these questions of external validity...
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The knowledge management discipline can be cryptic. These Knowledge Solutions define its most common concepts in simple terms.
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As DFID aims to harness the Data Revolution, ensuring that data1 drive decision-making, public accountability, and the achievement of the Sustainable Development Goals (SDGs), ensuring that systems, processes, and skills for data are aligned with these objectives is paramount. Across sector policy teams, country offices, and various analytical and technical cadres, different strengths and weaknesses, as well as needs and ambitions exist. To inform a strategic approach to data, as framed in...
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Introduction -- Evidence-based policymaking : an important first step, and the need to take the next -- Bias and the politics of evidence -- The overt politics of evidence : bias and the pursuit of political interests -- The subtle politics of evidence - the cognitive-political origins of bias -- What is "good evidence for policy"? From hierarchies to appropriate evidence -- What is the "good use of evidence" for policy? -- From evidence-based policy to the good governance of evidence
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The Open Access version of this book, available at http://www.tandfebooks.com/, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3.0 license. There has been an enormous increase in interest in the use of evidence for public policymaking, but the vast majority of work on the subject has failed to engage with the political nature of decision making and how this influences the ways in which evidence will be used (or misused) within political areas. This...
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Policymaking is rarely ‘evidence-based’. Rather, policy can only be strongly evidence-informed if its advocates act effectively. Policy theories suggest that they can do so by learning the rules of political systems, and by forming relationships and networks with key actors to build up enough knowledge of their environment and trust from their audience. This knowledge allows them to craft effective influencing strategies, such as to tell a persuasive and timely story about an urgent policy...
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We live in times of profound change. This has had a great impact on humanitarian needs, and the approaches taken to meet these needs. Changes in technology, ecology, politics, economics and demographics have shaped, and will continue to shape, humanitarian action. Many humanitarians and observers of humanitarian action have suggested that change initiatives in the sector have been unambitious and unsuccessful. Indeed, many people think that the humanitarian system is unable, or unwilling, to...
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This edited collection of peer-reviewed papers explores critical challenges faced by organisations and individuals involved in evidence-informed development through a diverse set of case studies and t...
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This edited collection of peer-reviewed papers explores critical challenges faced by organisations and individuals involved in evidence-informed development through a diverse set of case studies and t...
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Understanding and demonstrating the effectiveness of efforts to improve the lives of those living in poverty is an essential part of international development practice. But who decides what counts as good or credible evidence? Can the drive to measure results do justice to and promote transformational change change that challenges the power relations that produce and reproduce inequality, injustice and the non-fulfillment of human rights? The Politics of Evidence in International Development...
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15 Shares In practice the way in which research impacts and influences policy and society is often thought to be a rational, ordered and linear process. Whilst this might represent a ‘common sense’ understanding of research impact, in this cross-post John Burgoyne reflects on how upending the primacy of data and embracing complexity can lead to a more nuanced and effective understanding of research impact.
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A recent discussion with some colleagues on the differences between data, knowledge and information made me realize that there still is a lot of confusion when it comes to the use of terms; confusion that goes well beyond my earlier blog post on indicators, measures and metrics.
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Development actors facing pressure to provide more rigorous assessments of their impact on policy and practice need new methods to deliver them. There is now a broad consensus that the traditional counterfactual analysis leading to the assessment of the net effect of an intervention is incapable of capturing the complexity of factors at play in any particular policy change. We suggest that evaluations focus instead on establishing whether a clearly-defined process of change has taken place,...
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