Data · dataset · 2014
Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science
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de Rigo, D., 2013.
Description
Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science . Geophysical Research Abstracts 15 , 13292+.
ISSN 1607-7962, European Geosciences Union (EGU). arXiv:1311.4762 This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013 egu2013.eu/ Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione, Via Ponzio 34/5, I-20133 Milano, Italy Excerpt: Computational aspects increasingly shape environmental sciences.
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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.
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Where it is published
- Repository landing page figshare.com/articles/dataset/Software_Uncertainty_in_Integrated_Environmen… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.155701.v7 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.155701.v7 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.155701.v7 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Computer and information sciences · Mathematics
Related
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.155701.v7 | 12 d ago | JSON v1 |
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| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:computer-and-information-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:mathematics | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Environmental Science'] |
| concepts[field].local:field:economics-finance | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Economics'] |
| concepts[field].local:field:mathematics-statistics | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Statistics'] |
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