CORDIS Project
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NOBLE explores the predictability of evolutionary changes by using machine learning, fossil data, and biomechanical modeling. It investigates the origins and losses of traits over millions of years, the nature of convergent evolution, and the impact of trait integration on morphological diversity in cheilostome bryozoa…
Several challenges undermine our ability to predict the course of evolution: the likelihood of evolutionary novelties, the impact of the adaptive landscape, and the influence of developmental biases. NOBLE (NOvelties, Biases, and Landscapes in Evolution) will make use of cutting-edge machine learning, fossil times series, and biomechanical modelling to generate a synthesis of the predictability of phenotypic evolution.
First, NOBLE will use ancestral state reconstruction to determine if origina…
UNIVERSITETET I OSLO
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