Natural Sciences - Computer Science

Kim Schildkamp (BMS/UT) has been appointed as the Dutch representative to the Technical Committee (TC3) of IFIP. IFIP is a leading, multinational and apolitical organisation in the field of information processing, recognised by the United Nations.

Wageningen University & Research has appointed Marnix Medema as chair of the Bioinformatics group with effect from 1 February. He succeeds Dick de Ridder, who recently took up the position of Dean of Education at Wageningen University.

There is much debate about the role of social media in young people's lives. But what do adolescents themselves think about it? In any case, they feel they are not being listened to enough, according to a new study by Radboud University. The report outlines how young people experience social media and how they believe a more pleasant online environment can be created.

Quantum computers often require hundreds of components for a single reliable qubit, making scaling up complicated and expensive. UT PhD candidate Frank Somhorst has developed a method specifically for photonic quantum computers to reduce these costs. His method combines several imperfect photons into one photon with better properties. By a conservative estimate, this can reduce the number of photons required per logical qubit by a factor of four. He will be awarded a PhD by the University of Twente on 6 March.

An international collaboration using the Low Frequency Array (LOFAR) has unveiled an exceptionally detailed radio sky map, revealing 13.7 million cosmic sources and delivering the most complete census yet of actively growing supermassive black holes. It showcases an extraordinary variety of systems powered by these black holes, whose radio emission can extend for millions of lightyears. The newly released LOFAR Two-metre Sky Survey (LoTSS-DR3) marks a major milestone in radio astronomy and international scientific collaboration. The result is published in Astronomy & Astrophysics. Marijke Haverkorn from Radboud University contributed to this study.

Asthma in children is unpredictable. One moment, a child is running carefree across the football field, the next moment, they are too short of breath to participate. What if a smart AI model could predict when things will go wrong? At Medisch Spectrum Twente (MST), researchers are working on PREVENT: a dashboard that helps parents and doctors stay ahead of asthma attacks.