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Filter search resultsAustralian Government performance story report
This is an example of collaborative outcomes reporting (COR) used for a natural resource management program in South Australia.ResourceGender 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.Resource52 weeks of BetterEvaluation: Week 37: Collaborative Outcomes Reporting
Collaborative Outcomes Reporting (COR) is an approach to impact evaluation that combines elements of several rigorous non-experimental methods and strategies.BlogBig data and evaluation: Use and implications
Big data is emerging as a new world currency.BlogCollaborative outcome reporting technique (CORT)
This resource is a concise overview of the method developed by Dr Jess Dart, known as the Collaborative Outcome Reporting Technique (CORT). The method is characterised by two elements:ResourceMachine learning and meta-ethnography: Seven steps to synthesising 578 evaluations into four themes
This paper documents a case study using machine learning and meta-ethnography techniques to synthesise and draw lessons from 578 evaluations. This paper is part of the BetterEvaluation Innovation Working Paper series.ResourceMachine learning in evaluative synthesis: Lessons from private sector evaluation in the World Bank Group
An exploration of the potential to use machine learning techniques to enhance the efficiency of analyzing, classifying, and synthesizing extensive amounts of text in evaluation research.ResourceAdvanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.ResourceLeveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.Resource