A 90-minute session delivered remotely to IFRS Foundation members examining the potential use of data science methods for analyzing corporate reporting outcomes and supporting policy development. Three invited speakers: Madhu Mathew (IFRS Foundation), Khrystyna Bochkay (University of Miami) and Steven Young (Lancaster University). Topics covered were machine learning, use of natural language processing (NLP) to analyse comment letters, and the challenges of using NLP methods to study corporate reports. Presentations were followed by a Q&A.