Beyond the retraction database. We combine PhD-level behavioral statistics, macro-scientometrics, and institutional risk metrics to safeguard the scholarly record.
Three forensic disciplines. One mission. Detecting, mapping, and preventing research misconduct before it damages the scientific record.
Applying GRIM testing, SPRITE analysis, p-curve auditing, and Benford’s Law to detect data anomalies, p-hacking signatures, and statistically implausible results in Social Science research. We find the mathematical fingerprints that traditional peer review cannot see.
DetectionUsing bibliometric network analysis and citation mapping to identify paper mills, citation cartels, and coordinated manipulation networks. We trace the hidden connections that inflate reputations, distort impact metrics, and corrupt entire sub-fields of study.
MappingApplying the Meho/Ioannidis framework to evaluate institutional integrity through three key metrics: D-Rate (Delisted Journal Exposure), R-Rate (Retraction Density), and S-Rate (Self-Citation Inflation). Identifying university-level “red flags” before they become scandals.
AccountabilityDive into our Methodology for the technical framework, read our active Investigations, or learn about the investigator in The Vault.