Public Procurement

Public procurement, the process by which governments and organizations acquire goods and services, is undergoing significant transformation driven by advancements in data analytics and artificial intelligence. Current research focuses on improving efficiency and transparency through techniques like machine learning for fraud detection (using neural networks and random forests), and recommender systems for supplier selection, as well as developing robust classification methods for tender categorization. These efforts aim to optimize resource allocation, enhance accountability, and mitigate risks associated with corruption and inefficient spending, impacting both public sector operations and the broader scientific understanding of large-scale data analysis in complex systems.