Software uncertainty in integrated environmental modelling: the role of semantics and open science

Daniele de Rigo

MPRA Paper from University Library of Munich, Germany

Abstract: Excerpt: 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. [...]

Keywords: software uncertainty; software errors; open science; free software; free scientific software; semantic array programming; data-transformation modelling; reproducible research; environmental modelling; complexity; uncertainty (search for similar items in EconPapers)
JEL-codes: C02 C44 C45 C6 Q51 Q54 Q57 (search for similar items in EconPapers)
Date: 2013
New Economics Papers: this item is included in nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Working Paper: Software uncertainty in integrated environmental modelling: the role of semantics and open science (2013)
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