![]() ![]() Such an approach could be seen to provide a magical* solution to the very complex issue of corruption monitoring in procurement (or more generally). The approach in the paper would create ‘risk maps’ to eg prioritise the investigation of suspected corrupt awards. The paper implements complex algorithms to support graphical analysis to cluster public contracts with the aim of identifying those at risk of corruption. The paper aims to detect corrupt practices by exploiting network relationships among participants in public contracts. I have read a new working paper on the use of ‘blackbox algorithms’ as anti-corruption screens for public procurement: I Pastor Sanz, ‘ A New Approach to Detecting Irregular Behavior in the Network Structure of Public Contracts’.
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