As digital twins expand across fields ranging from healthcare to climate forecasting, concerns about privacy, cybersecurity, and transparency are also growing. A review of nearly 22,500 publications argues that digital twins should be understood as decision infrastructures that integrate sensing, modeling, artificial intelligence, and data systems to support smarter, more explainable, and secure decisions in complex real-world settings

Researchers from the University of Oxford have uncovered evidence that Mars once hosted enormous, Earth-like magmatic systems deep beneath its surface – despite the planet lacking the plate tectonics long thought necessary for this kind of geological complexity. The findings, published today (26 June) in Nature Astronomy, reveal fascinating new possibilities for how rocky planets become habitable.

When the Göttingen anatomist Rudolf Wagner examined a brain in 1856 that was later mistakenly believed to be that of the famous mathematician Gauss, he noticed an unknown peculiarity: a connection above the central fissure — which separates two parts of the brain — that he described as a "bridge." Twenty years later, in 1876, the Viennese anatomist Richard Heschl searched more than 1,000 brains for further instances of this "bridge" and was able to identify it in six of them. He also measured an ordinary brain winding at the same location, situated at the base of the fissure, as he suspected a connection between this "deep winding" and the "bridge": if the deep-lying winding occurred at varying heights, the "bridge" should appear at the same location, but at the brain's surface. The data confirmed his hypothesis. 150 years later, researchers from the German Primate Center – Leibniz Institute for Primate Research (DPZ) and the University of Göttingen, led by Renate Schweizer, a scientist in the Department of Functional Imaging at the DPZ, have now replicated Heschl's findings. For their work, Renate Schweizer, together with her co-authors Anna M. Müllen and Julius Stropel, has been awarded the Replication Prize of the Organization for Human Brain Mapping. The article on which the prize is based was published in 2025 in the journal Brain Structure and Function.