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

This pilot study tests the applicability, usefulness, and added value of using AI for advanced theory-based content analysis within the framework of IEG’s thematic evaluations. Using a set of interventions associated with the World Bank’s chronic malnutrition and stunted growth portfolio, the paper assesses the efficiency gains generated by AI-assisted content analysis in labeling and classifying text according to an outcome-based conceptual framework.

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Author

Franzen,Samuel;

Quang,Cuong;

Schweizer,Lukas;

Budzier,Alexander;

Gold,Jenny R.;

Vellez,Mercedes;

Ramirez,Santiago;

Raimondo,Estelle Rosine;
Document Date
2022/01/01
Document Type
Working Paper (Numbered Series)
Report Number
167127
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2022/02/17
Disclosure Status
Disclosed
Doc Name
Advanced Content Analysis : Can Artificial Intelligence Accelerate Theory-Driven Complex Program Evaluation?
Keywords
machine learning

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Citation

Franzen,Samuel; Quang,Cuong; Schweizer,Lukas; Budzier,Alexander; Gold,Jenny R.; Vellez,Mercedes; Ramirez,Santiago; Raimondo,Estelle Rosine.

Advanced Content Analysis : Can Artificial Intelligence Accelerate Theory-Driven Complex Program Evaluation? (English). IEG Methods and Evaluation Capacity Development Working Paper Series Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/400031645128516191

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

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