Mind the hubris in mathematical modeling

@article{Puy2022MindTH,
  title={Mind the hubris in mathematical modeling},
  author={Arnald Puy and Andrea Saltelli},
  journal={ArXiv},
  year={2022},
  volume={abs/2207.12230}
}
Here we briefly reflect on the philosophical foundations that ground the quest towards ever-detailed models and identify four practical dangers derived from this pursuit: explosion of the model’s uncertainty space, model black-boxing, computational exhaustion and model attachment. We argue that the growth of a mathematical model should be carefully and continuously pondered lest models become extraneous constructs chasing the Cartesian dream. 

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