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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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The practice of using rigorous scientific evaluations to study solutions to global poverty is relatively young. Although researchers continue to advance our knowledge of the mechanisms at work, confusion about their role and value persists. Having evidence from specific studies is fine and good, but for policy makers, the point is not simply to understand poverty, but to eliminate it. Do decisions always need to be informed by evidence from the local context? What potential and limits do...
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Many business thinkers believe it's the role of senior managers to scan the external environment to monitor contingencies and constraints, and to use that precise knowledge to modify the company's strategy and design. As these thinkers see it, managers need accurate and abundant information to carry out that role. According to that logic, it makes sense to invest heavily in systems for collecting and organizing competitive information. Another school of pundits contends that, since today's...
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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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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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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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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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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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