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Filter search resultsRevolutionary 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 analyseResourceGender 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.ResourceMeasuring 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.ResourceGlobal 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.ResourceQualitative comparative analysis: A valuable approach to add to the evaluator’s ‘toolbox’? Lessons from recent applications
Based on the lessons from three diverse applications of Qualitative Comparative Analysis (QCA), this Centre for Development Impact Practice Paper by Florian Schatz and Katharina Welle reflects on the potential of this approach for theResourceDiscussion 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.ResourceBig data for development: challenges & opportunities
This white paper by UN Global Pulse examines the use of Big Data in development contexts.ResourceGeospatial 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.ResourceLearning 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.ResourceAdapting evaluation in the time of COVID-19 - Part 1: Manage
Organisations around the world are quickly having to adapt their programme and project activities to respond to the COVID-19 pandemic and its consequences. We’re starting a new blog series to help support these efforts.BlogAdapting evaluation in the time of COVID-19 — Part 3: Frame
Evaluation needs to respond to the changes brought about by the Covid-19 pandemic. As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changesBlogAdapting evaluation in the time of COVID-19 – Part 4: Describe
We’re continuing our series, sharing ideas and resources on ways of ensuring that evaluation adequately responds to the new challenges during the pandemic.BlogBig data and evaluation: Use and implications
Big data is emerging as a new world currency.BlogWhat about administrative data?
In this guest blog, Kerry McCarthy discusses some of the options for finding administrative data sets for use in evaluation.BlogDigital 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.ResourceCEDIL Methods Brief - Using big data for impact evaluations
This paper provides detailed guidance on using big data to fill data gaps in impact evaluations.ResourceAdapting evaluation in the time of COVID-19 — Part 2: Define
The Covid-19 pandemic has led to rapid changes in the activities and goals of many organisations, whether these relate to addressing direct health impacts, the consequential economic and social impacts or to the need to change the way thingBlogQualitative comparative analysis
Qualitative Comparative Analysis (QCA) is an evaluation approach that supports causal reasoning by examining how different conditions contribute to an outcome.ApproachUsing qualitative comparative analysis to explore causal links for scaling up investments in renewable energy
This paper illustrates how qualitative comparative analysis (QCA) was used to identify causal pathways for scaling renewable energy to meet sustainable development and climate goals.ResourceCompasss: Comparative methods for systematic cross-case analysis
COMPASSS (Comparative methods for systematic cross-case analysis) is a website that has been designed to develop the use of systematic comparative case analysis as a research strategy by bringing together scholars and practitioners who sharResourceSet-theoretic methods for the social sciences: A guide to qualitative comparative analysis
This book, by Schneider and Wagemann, provides a comprehensive overview of the basic principles of set theory to model causality and applications of Qualitative Comparative Analysis (QCA), the most developed form of set-theorResourceAn introduction to applied data analysis with qualitative comparative analysis
This article by Nicolas Legewie provides an introduction to Qualitative Comparative Analysis (QCA). It discusses the method's main principles and advantages, including its concepts.ResourceWhat is qualitative comparative analysis (QCA)?
This slide show from Charles C Ragin, provides a detailed explanation, including examples, that clearly demonstrates the question, 'What is QCA?'.ResourceA critical review of applications in QCA and fuzzy-set analysis and a ‘toolbox’ of proven solutions to frequently encountered problems
This paper from Patrick A. Mello focuses on reviewing current applications for use in Qualitative Comparative Analysis (QCA) in order to take stock of what is available and highlight best practice in this area.ResourceBig data
Big data refers to data that are so large and complex that traditional methods of collection and analysis are not possible.Method