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Who Gets Prosecuted? Mapping Europe’s Fight Against Domestic and Cross-Border Corruption
The comparative report on the assessment and explanation of enforcement capabilities and performance of contrast of domestic and cross-border corruption in the EU is a first, design-oriented version of Deliverable which as the purpose to build the conceptual, methodological and data foundations for analysing how European criminal justice systems prevent, investigate, prosecute and sanction corruption,…
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Digital Transformation and Corruption: BridgeGap Maps Where AI Helps, Where the Gaps Remain
The research report by Aleksej Heinze, Alfredo Jimenez, Julien Hanoteau and Virginie Vial (KEDGE Business School), with contributions from Joras Ferwerda (Utrecht University) sets out a clear picture of how digital transformation, and especially artificial intelligence, is being discussed in anti-corruption research. It shows an area showing a real dynamic, which still depends on stronger…
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Machine Learning Detects Corruption Risk in Public Procurement
A case study on Danish public procurement contracts, 2016–2022 A new study from Utrecht University tests whether machine learning models can identify corruption risk in public procurement before a contract is awarded. The research applies twelve algorithms to 20,777 Danish procurement contracts covering the period 2016 to 2022. Its central finding is that the right…