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The document critiques the current state of mathematical biology, arguing that researchers focus too heavily on model analysis at the expense of model formulation. It advocates for a pluralistic approach to modeling biological systems, emphasizing the need for creativity and the development of diverse models to better capture the complexity of biological phenomena. The authors suggest that this shift is essential in light of advancements in machine learning, which often prioritize prediction over understand

Author

ingrid

Language

EN