What is it about?
Mathematical modelling contributes to the progress of animal science. In this article, we provide insight into a mathematical tool called structural identifiability analysis that has been seldom used for analysing and building dynamic models in animal science. We illustrate how this tool can contribute to advancing mathematical modelling towards the production of useful models.
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Why is it important?
Our work contributes to the good modelling practice in the domain of animal science by illustrating the power of structural identifiability analysis in the construction of predictive mathematical models. Identifiability analysis is instrumental for providing guidelines for the design of optimal experiments when data have not been collected yet. The application of identifiability analysis facilitates the model construction and allows to get the most out of experimental data for the model calibration.
Perspectives
In 2016, some colleagues and I started to discuss about the relevance of structural identifiability analysis on the modelling practice in the animal science domain. From our meetings we coined a name for our discussion group: the MoMos (Modellers of MoSAR, Inra), name that reminds the intrepid girl of the story of Michael Ende. The MoMos have different scientific backgrounds which led us to very passionate discussions trying to put in music our different points of view and languages. We came to a consensus on the identifiability analysis matter which results in this position review article. We expect to motivate the community to the use of identifiability analysis in the modelling practice (when the identifiability question is relevant).
Rafael Muñoz-Tamayo
Institut National de la Recherche Agronomique
Read the Original
This page is a summary of: Review: To be or not to be an identifiable model. Is this a relevant question in animal science modelling?, animal, November 2017, Cambridge University Press,
DOI: 10.1017/s1751731117002774.
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