Automating partnership principle assessment. Using generative AI to analyze stakeholder participation in European operational program governance

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Authors
Lyubashenko, Igor
Monograph
From Algorithms to Evidence. Using GenAI in Evaluation Practice
Monograph (alternative title)
Editor
Bruce, Kerry
Gandhi, Valentine J.
Bohni Nielsen, Steffen
Date
2026-08-27
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Routledge
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From Algorithms to Evidence
Volume
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162-171
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9781041357483
eISBN
9781003799139
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https://www.taylorfrancis.com/chapters/oa-edit/10.4324/9781003799139-16/automating-partnership-principle-assessment-igor-lyubashenko
Access date
2026-08-27
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Abstract PL
Abstract EN
The partnership principle represents a cornerstone of European Cohesion Policy, requiring meaningful involvement of diverse stakeholders in program design, implementation, and monitoring. This case study demonstrates how generative AI transformed traditional document analysis in evaluation practice, moving from labor-intensive manual coding to sophisticated automated extraction and categorization. Using Google’s Gemini API, we systematically analyzed monitoring committee protocols and membership compositions across several European operational programs in Poland. The AI-powered workflow automated stakeholder extraction, attendance tracking, and analysis of substantive contributions during committee deliberations, processing approximately 200 protocols that would have required months of manual analysis.
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Instytut Nauk Społecznych
Wydział Nauk Społecznych w Warszawie
URI
https://share.swps.edu.pl/handle/swps/2521
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cc-by-nc-nd
Except as otherwise noted, this item is licensed under the Attribution-NonCommercial-NoDerivatives licence | Permitted use of copyrighted works
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Acquisition Date20.10.2022
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Acquisition Date20.10.2022