IEG methods papers series

This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.

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.

This paper focuses on the utilisation of case-based designs for conducting causal analysis and dispelling two misconceptions about their use in the context of evaluation.

An overview of the use of structured literature reviews to promote greater reliability when using and reporting on evidence in evaluations.

This guide provides an overview of the use of both traditional and novel data sources in generating poverty maps and the related methodological implications.

This paper illustrates how qualitative comparative analysis (QCA) was used to identify causal pathways for scaling renewable energy to meet sustainable development and climate goals.

This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.

This paper outlines the Delphi forecasting method and its use in collecting, aggregating, and analysing inputs from a panel of global experts on renewable energy (RE).