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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.ResourceDiscussion 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.ResourceRight or Wrong? What values inform modern impact evaluation?
The aim of this event was to open up the debate on ethics and explore how it can become more relevant to the field of impact evaluation.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.ResourceBig data and evaluation: Use and implications
Big data is emerging as a new world currency.BlogOutcome monitoring in large multi-stakeholder research programmes: Lessons from PRISE
This guest blog by Tiina Pasanen and Kaia Ambrose discusses how the Pathways to Resilience in Semi-arid Economies (PRISE) project approached the challenge of coming up with&nbsBlogWhat 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.ResourceOutcome monitoring and learning in large multi-stakeholder research programmes: lessons from the PRISE consortium
This discussion paper outlines the key lessons to emerge from designing and applying an outcome monitoring system to the Pathways to Resilience in Semi-arid Economies (PRISE) project.ResourceInformal traders lock horns with the formal milk industry: The role of research in pro-poor dairy policy shift in kenya
This paper, written by C. Leksmono, J. Young, N. Hooton, H. Muriuki and D.Resource52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global network
Global voluntary networks are complex beasts with dynamic and unpredictable actions and interactions. How can we evaluate the results of a network like this? Whose results are we even talking about?BlogExample outcome journal template
This template is based on the original Outcome Mapping guidance, incorporating elements from Outcome Harvesting (e.g. significance) and allowing tagging to particular progress markers (rather than listing them all as the original does).ResourceOutcome Mapping
Outcome Mapping is an approach that helps unpack an initiative’s theory of change and provides a framework to collect data on the immediate, basic changes that lead to longer, more transformative change. This allows for the plausible assessment of the…Approach20 years of outcome mapping: Evolving practices for transformative change
This paper reflects on the evolving use of Outcome Mapping 20 years after the first publication on this approach. The resource also provides a "set of guiding practices to support transformative change":Resource10 years of outcome mapping
This webinar from the Outcome Mapping Learning Community (OMLC) presents the key findings from research conducted into the extent of Outcome Mapping use and the support required for its implementation.ResourceOutcome mapping + equity, gender, and social justice
This paper introduces OM+, a new approach to thinking about and using Outcome Mapping (OM) for supporting transformative change through a focus on inclusion and leadership for equity, gender, and social justice.ResourceRetrospective 'outcome harvesting': Generating robust insights
This paper describes the use of the Outcome Harvesting approach to evaluate a global voluntary network.ResourceOutcome Mapping Learning Community
This website from the Outcome Mapping Learning Community is a resource and sharing hub for resources and ideas related to outcome mapping.ResourceOutcome mapping: A method for tracking behavioural changes in development programs
This guide published by the Institutional Learning and Change (ILAC) Initiative provides a detailed overview of using outcome mapping as an evaluation tool.ResourceOutcome mapping: Building learning and reflection into development programs
This book by Sarah Earl, Fred Carden and Terry Smutylo takes an original approach to assessing development impacts by focusing on the way in which people relate to each other and to their environment rather than simply evaluating the pResourceBig data
Big data refers to data that are so large and complex that traditional methods of collection and analysis are not possible.Method