DISCnet: The Data Intensive Science Centre in SEPnet

DISCnet trains doctoral students across six universities in southern England to handle the data demands of modern physics and astronomy. Modern telescopes and particle accelerators generate torrents of data—more than any single researcher can process alone. The problem is not just building better detectors, but building the people who can write the software, design the algorithms, and manage the computing infrastructure that turns raw data into discoveries. Without a dedicated pipeline of skilled data scientists, the UK risks falling behind in its ability to exploit its own multi-million-pound facilities, such as the Square Kilometre Array or the Large Hadron Collider. If DISCnet succeeds, it will produce a cohort of PhD graduates who can work across academia and industry. These skills transfer directly to sectors that depend on large-scale data analysis: financial modelling, medical imaging, climate forecasting, and logistics. The training programme also creates a shared computing infrastructure and a network of expertise that outlasts any single student project. The project is primarily a skills and training initiative rather than a single scientific investigation. Its impact is measured in people trained, not papers published.