A newly published paper offering a comprehensive overview of how data-driven techniques (machine learning, network science or statistical methods) are applied to detect corruption in public procurement. The authors screened over 6.000 papers, ultimately analyzing 93 studies.
https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-025-00569-3