Software Uncertainty in Integrated Environmental Modelling: The Role of Semantics and Open Science. de Rigo, D. 15:13292+.
Software Uncertainty in Integrated Environmental Modelling: The Role of Semantics and Open Science [link]Paper  doi  abstract   bibtex   
Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations.
@article{derigoSoftwareUncertaintyIntegrated2013,
  title = {Software Uncertainty in Integrated Environmental Modelling: The Role of Semantics and Open Science},
  author = {de Rigo, Daniele},
  date = {2013-11},
  journaltitle = {Geophysical Research Abstracts},
  volume = {15},
  pages = {13292+},
  issn = {1607-7962},
  doi = {10.6084/m9.figshare.155701},
  url = {https://doi.org/10.6084/m9.figshare.155701},
  abstract = {Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations.},
  archivePrefix = {arXiv},
  eprint = {1311.4762},
  eprinttype = {arxiv},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-12794802,~to-add-doi-URL,communicating-uncertainty,data-transformation-modelling,deep-uncertainty,environmental-modelling,featured-publication,integrated-modelling,integrated-natural-resources-modelling-and-management,mastrave-modelling-library,modelling,modelling-uncertainty,robust-modelling,science-policy-interface,semantic-array-programming,semantics,semap,software-errors,software-uncertainty,uncertainty},
  options = {useprefix=true},
  series = {Geophysical {{Research Abstracts}}}
}
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