Partnership Network
Supported By
Collaborating with leading organizations committed to transparency and accountability
How It Works
Data-Driven Corruption Detection
We integrate multiple data sources and apply sophisticated algorithms to identify corruption risk indicators in public procurement
Data Integration
Consolidating public procurement records, company registries, and sanctions lists from official sources across the region
Risk Analysis
Automated detection of 5 key corruption risk indicators including procedural transparency, competition levels, and timing anomalies
Open Methodology
Transparent, open-source approach with comprehensive documentation available for researchers and journalists
Risk Indicators
5 Key Corruption Risk Indicators
1Procedural Transparency (RI-PROC-01)
Identifies use of less transparent procurement procedures like direct negotiations
2Competition Analysis (RI-COMP-01)
Detects low number of bids indicating potential favoritism or rigged tenders
3Sanctioned Suppliers (RI-SANC-01)
Cross-references procurement winners with international sanctions lists
4Shared Ownership (RI-OWN-01)
Reveals hidden ownership structures and connections between competing bidders
5Election Timing (RI-TIME-01)
Flags contracts signed close to election periods, indicating potential misuse of public funds
Recognition
#HackCorruption Winner
How do you expose #transnational corruption networks? In many regions, tons of data is already available, primed for analysis & aggregation. One of our winning #HackCorruption Balkans teams, Balkan Corruption Insider, is doing just that...@dgateway @CIPEglobal @MSIWorldwide pic.twitter.com/lGlGwuYq2O
— #HackCorruption (@hackcorruption) November 5, 2024