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Filter search resultsCollaboration mapping
This tool, developed by USAID/Rwanda and shared as part of USAID's Collaboration, Learning and Adapting (CLA) Toolkit, is one way of graphically depicting relationships between key stakeholders.ResourceIntroduction to collaborating, learning and adapting (CLA) in the program cycle
This free, one-hour online course by USAID gives an introduction to the Collaboration, Learning, Adapting (CLA) approach.ResourceUSAID collaborating, learning and adapting in action case competition library
USAID's annual Collaborating, Learning and Adapting (CLA) Case Competition captures case studies of USAID staff and implementing partners using a CLA approach for organizational learning and better development outcomes.ResourceEvaluability assessments and choice of evaluation methods
In this Centre for Development Impact seminar, Richard Longhurst (IDS) and Sarah Mistry (BOND) will highlight the importance of evaluability assessments for development projectsResourceSynchronizing monitoring with the pace of change in complexity
This discussion note from USAID argues for synchronizing monitoring with the pace of change as a key principle underlying complexity-aware monitoring.ResourcePlanning evaluability assessments: A synthesis of the literature with recommendations
The report presents a synthesis of the literature on Evaluability Assessments.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