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This guide provides an overview of evaluation approaches and methods that have been used in the field of international development evaluation.

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

This paper explores the potential of imagery data in evaluations and presents various data types and methodologies demonstrating their advantages and limitations

This paper explores the potential of using machine learning techniques towards making the process of analyzing, classifying, and synthesizing large amounts of text in evaluation research more efficient.

This paper provides an overview of the use of structured literature reviews towards promoting greater reliability in the use and reporting of evidence in evaluations.

This paper demonstrates through a real-world example how case-based analysis can be used for conducting causal analysis in evaluations and busts myths associated with it.

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

This paper outlines the use of the Delphi forecasting method to share, aggregate, and analyze inputs from a panel of global experts on renewable energy.

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