Software Uncertainty in Integrated Environmental Modelling: The Role of Semantics and Open Science. de Rigo, D. 15:13292+. 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},
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options = {useprefix=true},
series = {Geophysical {{Research Abstracts}}}
}
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