Open-source platform that monitors Argentine public spending using algorithmic risk analysis (XAI). Integrates data from BORA, Argentina Compra, TGN and other official sources to detect concentration, irregularities and corruption risk in government procurement and contracts.

Corrección: el año de inicio es 2026, no 2024. Texto corregido para ese campo: Mapa de Transparencia Argentina began in 2026 as an academic and civic tech initiative developed by Ph.D. Vicente Humberto Monteverde, researcher and author of the Passive Income Transfer theory and developer of an XAI (Explainable AI) algorithm applied to public procurement analysis, published in the Journal of Financial Crime (Emerald Publishing). Who it's for: journalists, civil society organizations, researchers, anti-corruption advocates, and any citizen who wants to monitor how the Argentine state spends public money. The platform requires no technical background — risk scores and visualizations are designed to be actionable for non-experts. What it does: integrates data from multiple official Argentine sources (BORA, Argentina Compra, TGN) and applies algorithmic risk analysis to detect concentration patterns, irregularities, and corruption risk in government procurement and contracts. It also cross-references sanctioned entities (MEACI/OCDE) and monitors public declarations (DDJJ). Impact so far: the platform launched in 2026 and is already live and operational, covering thousands of procurement records across the Argentine federal government. It applies a methodology peer-reviewed and published in an international journal, bringing academic rigor to citizen-facing transparency tools — rare in the Latin American civic tech ecosystem. How people can help: the project is open source (github.com/Viny2030). Developers, data journalists, and anti-corruption researchers can contribute code, flag data quality issues, or help adapt the methodology to other Latin American contexts.