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Advanced Content Analysis: Can Artificial Intelligence Accelerate Theory-Driven Complex Program Evaluation?

Contents Show the list of contents Show the list of contents
  • Authors
    • Corresponding author
    • Author Affiliations
  • Acknowledgments
  • Overview
  • Abbreviations
  • 1 | The Challenge
    • Challenges in Development Evaluation and the Promise of Artificial Intelligence
    • Could Artificial Intelligence Be Used to Accelerate Theory-Driven Complex Portfolio Evaluation?
  • 2 | How Was Artificial Intelligence Used to Automate Content Analysis and Qualitative Synthesis?
    • Traditional Methods Used for Evaluation Synthesis
    • Artificial Intelligence Approaches to Automating Content Analysis and Qualitative Evaluation Synthesis
  • 3 | Results
    • Can Supervised Machine Learning Automate Theory-Driven Content Analysis?
    • Can Unsupervised Machine Learning Offer New and Important Emergent Insights into Project Data?
    • Can Knowledge Graphs Organize Data into a Theory of Change and Help Determine Program Contribution?
  • 4 | Can Artificial Intelligence Accelerate Theory-Driven Complex Program Evaluation?
  • References

Abbreviations

AI artificial intelligence

IEG Independent Evaluation Group

NLP natural language processing

SML supervised machine learning

ToC theory of change

t-SNE t-distributed stochastic neighbor embedding

UML unsupervised machine learning

All dollar amounts are US dollars unless otherwise indicated.

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