Algorithmic analysis of potential conflicts based on income, donations, and voting patterns
Conflict risk scores are algorithmically generated based on publicly available data including registered financial interests, donations received, shareholdings, and voting patterns. The score indicates potential areas of interest for further investigation, not wrongdoing. Components weighted: Income conflicts (40%), Donor alignment (35%), Holdings risk (25%).