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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

Authors

Samuel Franzen1

Cuong Quang2

Lukas Schweizer3

Alexander Budzier1

Jenny Gold4

Mercedes Vellez4

Santiago Ramirez4

Estelle Raimondo4

Corresponding author

Samuel Franzen: sam.franzen@oxfordglobalprojects.com

Author Affiliations

1 Oxford Global Projects

2 Octant AI

3 Deepreason.ai

4 World Bank Independent Evaluation Group

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The Independent Evaluation Group evaluates the work of the World Bank Group to find what works, what doesn't, and why. IEG evaluations provide an objective assessment of World Bank Group results, and identify lessons learned from experience. Through independent evaluation, IEG is helping the World Bank Group achieve its twin goals of eradicating extreme poverty and boosting shared prosperity.

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