Title: Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science
Citation: Geophysical Research Abstracts vol. 15 p. 13292+ (4pp.)
Publisher: European Geosciences Union (EGU)
Publication Year: 2013
JRC N°: JRC79865
ISSN: 1607-7962
URI: http://figshare.com/articles/Software_Uncertainty_in_Integrated_Environmental_Modelling_the_role_of_Semantics_and_Open_Science/155701
DOI: 10.6084/m9.figshare.155701
Type: Articles in periodicals and books
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 (a) 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.
JRC Directorate:Sustainable Resources

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