The Veritas Index methodology is a structured research evaluation framework designed to support integrity, quality, and transparency across the global academic ecosystem.
The framework adopts a principles-based analytical approach to assessing scholarly activity and academic representation using verifiable information and ethically grounded evaluation logic. Its purpose is to provide a high-level, consistent perspective on research quality without relying on opaque metrics or reputation-based assumptions.
Scoring within Veritas Index is derived through a normalized analytical model that synthesizes multiple independent dimensions related to research activity, transparency, and continuity. The methodology is designed to ensure fairness, contextual awareness, and comparability across disciplines, career stages, and institutional environments.
Computational techniques, including AI-supported analysis, are used exclusively to assist in data structuring, consistency validation, and large-scale pattern alignment. These techniques do not replace methodological judgment, nor do they independently determine evaluation outcomes.
The Veritas Index methodology maintains a clear separation between analytical evaluation and academic judgment, ensuring that research integrity, methodological transparency, and scholarly autonomy remain fully respected.
Methodological principles and evaluation logic are subject to continuous review to ensure alignment with evolving standards in research assessment and responsible analytics.