Project management news from around the world
On June 28, 2026, the University of Oxford’s Saïd Business School published research introducing "Reference Class Forecasting 2.0" (RCF 2.0), a project management methodology designed to eliminate systemic "optimism bias" in large--scale infrastructure and business transformations. RCF 2.0 utilizes "Machine--Learned Reference Classes" to automatically identify and benchmark new projects against a global database of historical outcomes, providing more accurate cost and timeline predictions. The study, which analyzed over 50,000 projects, found that organizations implementing RCF 2.0 reduced budget overruns by an average of 18% and improved schedule reliability by 22% compared to traditional estimation techniques.