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.
Jos Vaessen
Jos Vaessen (PhD) is evaluation advisor at the Independent Evaluation Group (since 2016) and deputy head of the Global Evaluation Initiative (since 2021). He has been working in evaluation research since 1998, first as an academic evaluation consultant and later on as a lead evaluator. He has conducted and led evaluations for multilateral and bilateral development organizations in a range of policy fields such as agriculture, environment, science, education, health and others. Jos has authored several internationally peer reviewed publications, including three books.
Contributed by this member
- 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 outlines the Delphi forecasting method and its use in collecting, aggregating, and analysing inputs from a panel of global experts on renewable energy (RE).
- 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 illustrates how qualitative comparative analysis (QCA) was used to identify causal pathways for scaling renewable energy to meet sustainable development and climate goals.
- This guide, produced by the World Bank's Independent Evaluation Group, aims to provide the reader with an accessible reference to evaluation approaches and methods used in international development contexts.
- This AEA365 blog by Tom Grayson provides a list of quotes from notable evaluation colleagues about the importance of evaluative thinking.