Reproducible and Exchangeable Computational Models (Standardization)

We face a crisis in reproducibility, where it is impossible to believe most of the computational results shown in conferences and papers. Recent replication efforts and theoretical considerations indicate that most published research findings in biomedical research are wrong. This is especially problematic for the translation of computational models into the clinics. Modelling standards, software, and community initiatives are fundamental for reproducibility in systems biology and systems medicine.

To actively face this reproducibility crisis, we are part of initiatives which develop standards for computational modelling, i.e., we are a coordinator of the computational modelling in biology network (COMBINE, http://co.mbine.org/about). More specifically we contribute to standards for models and simulation experiments, i.e., M.K. is an editor (2018-2020, http://sbml.org/About/SBML_Core_Developers) of the Systems Biology Markup Language (SBML, http://sbml.org,~\cite{Hucka2002, Hucka2019}) and an editor (2017-2019, 2020-2022, https://sed-ml.org/about.html) of the Simulation Experiment Description Markup Language (SED-ML).

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Created: 26th Jul 2020 at 21:11

Last updated: 26th Jul 2020 at 21:21

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