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Filter search resultsHow to make toast - An exercise in group model building
This 9 minute TED Talk outlines the process and benefits of group model building exercises, using the example of 'making toast'.ResourceBetterEvaluation FAQ: How can you get stakeholders to articulate how they think a program or project works?
In our last newsletter we drew attention to our method page onBlogWhat are some methods and processes to help stakeholders articulate how they think a program works? (AES17 co-creation challenge #1)
The material from BetterEvaluation comes from a combination of curating existing material and co-creating new material. This blog is part of an ongoing series about material that we have co-created with BetterEvaluation users.BlogMachine 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