Programmes nationaux de recherche : prise de position de l’ASSH
Avec les Programmes nationaux de recherche, dénommés « Centres of Competence in Research (NCCR) », la Confédération encourage des projets de recherche d’importance stratégique. Ces derniers sont sélectionnés suivant une procédure d’évaluation en plusieurs étapes et dotés de fonds considérables.
A team from the University of Bern and the National Centre of Competence in Research (NCCR) PlanetS has developed a machine learning model that predicts potential planetary systems with Earth-like planets. The model could significantly accelerate and thus revolutionize the future search for habitable planets in the universe.
Ein Team der Universität Bern und des Nationalen Forschungsschwerpunkts (NFS) PlanetS hat ein maschinelles Lernmodell entwickelt, das potenzielle Planetensysteme mit erdähnlichen Planeten vorhersagt. Das Modell könnte die zukünftige Suche nach bewohnbaren Planeten im Universum deutlich beschleunigen und damit revolutionieren.
BCFSA Releases Natural Catastrophe and Climate-Related Risk Consultation “What We Heard” Report
What does the NCCR Evolving Language study? And how can it be useful? Discover the broad field of research of the NCCR Evolving Language through 3 animated stories, by Robbie L'Anson Price.
The advent of Open Science poses a number of challenges for researchers with regard to research data management. Amongst the most salient is the necessary balance between data protection and openness. This guide aims to clarify the rights and obligations of researchers regarding the protection of personal data, following the main questions that should be asked before conducting a research project.
An efficient algorithm is proposed to integrate large-scale microbiome datasets. This unbiased data integration method enables the identification of robust biomarkers associated with various diseases through assessing shifts of microbial network modules.
Michael Piotrowski
Universität Bern
Ken Walker 
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