News | May 8, 2026
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
January 29, 2025
Managing Director Matt Farber recently authored the article “Postgraduation Earning: A Survey of Leading Data Sources for Damages Experts” for the American Bar Association’s Fall 2024 issue of “The Brief.”
In the article, Dr. Farber and co-author Dr. Mona Birjandi explore how economists and damages experts assess the economic impact of disruptions in individuals’ earning streams, with education increasingly influencing predicted future earnings. They present a catalog of leading data sources that provide earnings information by field of study, educational attainment, and college or university. Further, Drs. Birjandi and Farber cover the key aspects of data from various sources, including their origin and description, their demographic scope and overage, the depth of information provided, representativeness, accessibility protocols, data timeliness, and critical strengths and limitations for analysis.
By outlining these key aspects, the article provides valuable insights for damages experts, aiding them in effectively incorporating survey data into their analyses and ensuring that the data used is both robust and defensible.
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
Secretariat Experts Recognized in Lexology’s 2026 Investigations Report
Ten of Secretariat experts have been recognized in the Lexology Index 2026 Investigations report, produced in partnership with Global Investigations Review. The guide highlights leading investigations lawyers, digital forensic specialists, and forensic accountants who are trusted to support the most demanding matters worldwide.
AI is rapidly reshaping how financial institutions in Latin America approach compliance, shifting from reactive monitoring to proactive financial crime detection. Advanced AI platforms specialized in crime detection enable banks to process vast datasets, identify anomalous behaviors, and map hidden relationships across accounts and jurisdictions. This is particularly relevant in a region characterized by complex cross-border flows, uneven regulatory enforcement, and significant exposure to illicit economies.