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  • Revolutionary Google-backed system unlocks power of big data to save forests

    This blog post from Rhett A Butler for Mongabay.com outlines the use of a new tool, Global Forest Watch, which uses big data to monitor global forests on a monthly basis.  Utilising Google’s computing cloud the tool is able to analyse
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  • Gender equality and big data: Making gender data visible

    The report from UN Women, with support from UN Global Pulse, outlines the value of big data for monitoring the Sustainable Development Goals (SDGs) in relation to women.
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  • Coolors

    Coolors is a colour palette generator.
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  • Developmental evaluation: Diagnostic checklist

    This checklist aims to help users assess whether Developmental Evaluation is a good fit for your situation.
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  • Measuring results and impact in the age of big data

    This paper explores the nexus of data science and evaluation, probing the issues and challenges of incorporating big data into evaluation practice. This resource and the following information was contributed by Alice Macfarlan.
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  • Global innovations in measurement and evaluation

    This report by NPC highlights their research into the latest developments in theory and practice in measurement and evaluation. The authors found that new thinking, techniques, and technology are influencing and improving practice.
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  • Discussion Paper: Innovations in Monitoring and Evaluation

    This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.
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  • Big data for development: challenges & opportunities

    This white paper by UN Global Pulse examines the use of Big Data in development contexts.
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  • Geospatial analysis in evaluation

    This blog from the Independent Evaluation Group (IEG) highlights the role of geospatial data in understanding change in phenomena, and answering questions of relevance and effectiveness of development interventions.
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  • Learning from data innovation

    This episode from the IEG podcast 'What have we learned' features Brenda Barbour and Jos Vaessen discussing the opportunities and challenges of using innovative technologies with evaluation data.
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  • Big data and evaluation: Use and implications

    Big data is emerging as a new world currency.
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  • What about administrative data?

    In this guest blog, Kerry McCarthy discusses some of the options for finding administrative data sets for use in evaluation.
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  • Institutional history

    An institutional history (IH) is a narrative that records key points about how institutional arrangements – new ways of working – have evolved over time and have created and contributed to more effective ways to achieve project or programme
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  • Digital dividends in natural resource management

    The report sets out research findings on the "digital dividends" of various types of technology on natural resource management in low and middle-income countries.
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  • Evaluation report checklist

    This checklist was developed by drawing upon and reflecting on The Program Evaluation Standards which were created for the Joint Committee on Standards for Educational Evaluation, 1994.  
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  • Evaluation design checklist

    The checklist provides a set of issues one needs to consider while planning, undertaking and reporting an evaluation and covers the requirements seen in typical requests for evaluation proposals.
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  • Evaluation contract checklist

    This checklist is designed to help evaluators and clients identify key contractual issues that require agreement before an evaluation can commence.
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  • Evaluation plans and operations checklist

    This checklist from the Evaluation Checklists Project provides a guide to those interested in conducting a preliminary, formative metaevaluation.
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  • CIPP evaluation model checklist

    Stufflebeam provides an explanation of what CIPP is, and a checklist designed to help evaluators evaluate programs with relatively long-term goals.
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  • CEDIL Methods Brief - Using big data for impact evaluations

    This paper provides detailed guidance on using big data to fill data gaps in impact evaluations.
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  • UNICEF webinar: Quasi-experimental design and methods

    What is the main difference between quasi-experiments and RCTs? How can I measure impact when establishing a control group is not an option?
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  • Information request checklist

    This resource is a checklist designed to guide evaluators when starting a new project, ensuring they gather essential information to support their evaluation efforts.
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  • Evaluation request for proposals (RFP) checklist

    This resource provides a checklist to ensure that your Request for Proposals (RFP) for evaluation services yields high-quality submissions.
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  • Big data

    Big data refers to data that are so large and complex that traditional methods of collection and analysis are not possible. 
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