Principles that uniquely determine simple risk-sharing rules
Peer-Reviewed Publication
Updates every hour. Last Updated: 24-Apr-2026 14:16 ET (24-Apr-2026 18:16 GMT/UTC)
Researchers develop an axiomatic framework to clarify which risk-sharing rules follow from commonly desired principles in risk pools, such as anonymity of participant and incident information, non-punitive processes, and fairness. They characterize simple rules—including uniform, mean-proportional, and covariance-based linear rules—by formal properties like reshuffling, source-anonymous contributions, and aggregate contributions. The framework also defines broad rule classes and introduces scenario-based rules for settings where probabilistic modeling is impractical.
Fresh research from the University of East Anglia (UEA) could transform how the NHS protects patients’ medical images from cyber‑attacks. Computer scientists have developed a breakthrough way to encrypt medical images such as X‑rays, CT scans and MRIs, keeping them secure even if hospital networks are breached. Medical imaging systems have been repeatedly identified as weak points, with many relying on legacy protocols that were never designed to be exposed to the internet, making image‑level encryption an urgent priority. Developed by researchers at the University of East Anglia in collaboration with international partners, the new encryption approach uses advanced mathematical techniques to make each protected image uniquely unpredictable and extremely difficult to hack, while still fast enough for everyday NHS use.
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Check out the press program for the American Physical Society’s Global Physics Summit today. The conference will be held in Denver and online everywhere March 15-20.