Project SAFE (Secure Analytics for Federated Evidence) is an applied research and innovation initiative focused on improving how sensitive data can be analyzed across organizations without requiring centralized data sharing.
Many public-sector, health, and research collaborations depend on data that cannot easily be pooled due to privacy, security, legal, or governance constraints. As a result, organizations are often forced to rely on incomplete information, manual reporting, or delayed analyses when making decisions that affect policy, operations, or public wellbeing.
Project SAFE explores technical and governance approaches that enable federated analysis, allowing participating organizations to generate shared insights while data remain under local control. The project examines methods such as privacy-preserving computation, standardized data schemas, and transparent governance frameworks to support responsible data collaboration.
