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Filter search resultsDFAT design and monitoring and evaluation standards
These updated design, monitoring and evaluation standards from the Australian Government aim to "improve the quality and use of Design and M&E products, and to integrate evaluative thinking into everyday work".ResourceMaking rigorous causal claims in a real-life context: Has research contributed to sustainable forest management?
This article presents an example of a rigorous non-counterfactual causal analysis that describes how different evidence and methods were used together for causal inference without a control group or comparison group.ResourcePathways to advance professionalisation within the context of the AES
This report by Greet Peersman and Patricia Rogers for the Australasian Evaluation Society (AES) identifies four potential pathways towards professionalisation within the context of the AES. These pathways areResourceMachine 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.ResourceProjects assuming responsibility over evaluation: Test-driving utilisation focused evaluation
This presentation from Developing Evaluation Capacity in ICT4D (DECI) outlines the objectives of the project and their use ofResourceMachine 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.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.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.Resource