Inception Papers
Research Uptake in Policymaking: From Papers to Policy
This paper is based on discussions which took place during a Centre of Excellence for Development Impact and Learning (CEDIL) workshop ‘Promoting the use of research findings in policy and practice: an experience sharing workshop’ held on 7th November 2017.
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Stakeholder Engagement for Development Impact Evaluation and Evidence Synthesis
This paper investigates stakeholder engagement with decision-making and research for international aid and social development, to encourage decisions that are both evidence-informed and appropriate to their context.
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Designing evaluations to provide evidence to inform action in new settings
Policy and interventions should be informed by the best available evidence, but evaluations are not always optimally designed to inform decisions about policies and interventions in new contexts.
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Evidence and gap map of studies assessing the effectiveness of interventions for people with disabilities
This report summarises findings from an evidence and gap map (EGM) commissioned by the Department for International Development (DFID) and undertaken by the Campbell Collaboration (Campbell) and the International Centre for Evidence and Disability (ICED).
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Causal chain analysis in systematic reviews of international development interventions
In this paper, we describe causal chain analysis as involving the development of a logic model, which outlines graphically a hypothesis of how an intervention leads to a change in an outcome.
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Mixing and Matching: Using Qualitative Methods to Improve Quantitative Impact Evaluations (IEs) and Systematic Reviews (SRs) of Development Outcomes
This paper canvasses a purposeful sample of experts from a variety of disciplines to gather the success stories, and where apparently well-planned approaches have failed to add the value expected of them. It then draws lessons for future evaluations as a basis for guidance on the use of mixed methods.
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Using data differently and using different data
In this paper, we discuss three categories of related approaches to innovation in the use of data and measurements relevant for evaluation: the creation of new measures, the use of multiple measures, and the use of machine learning algorithms.
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Representing Theories Of Change: Technical Challenges With Evaluation Consequences
This paper looks at the technical issues associated with the representation of Theories of Change and the implications of design choices for the evaluability of those theories.
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Effectiveness of transportation in LMICs – An Evidence and Gap Map
The map will cover all forms of transport, such as roads, railways, civil aviation, ports and inland water transport, and urban transport, and also cover a broad range of populations, such as rural and urban, general population, specific population (e.g. women, disabled etc.).
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