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

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  • de Rigo, Daniele

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. [...]

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 44201.

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Date of creation: 2013
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Handle: RePEc:pra:mprapa:44201

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Keywords: software uncertainty; software errors; open science; free software; free scientific software; semantic array programming; data-transformation modelling; reproducible research; environmental modelling; complexity; uncertainty;

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  1. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
  2. de Rigo, Daniele & Corti, Paolo & Caudullo, Giovanni & McInerney, Daniel & Di Leo, Margherita & San-Miguel-Ayanz, Jesús, 2013. "Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling," MPRA Paper 44194, University Library of Munich, Germany.
  3. de Rigo, Daniele & Rizzoli, Andrea Emilio & Soncini-Sessa, Rodolfo & Weber, Enrico & Zenesi, Pietro, 2001. "Neuro-dynamic programming for the efficient management of reservoir networks," MPRA Paper 42233, University Library of Munich, Germany.
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Cited by:
  1. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
  2. de Rigo, Daniele & Corti, Paolo & Caudullo, Giovanni & McInerney, Daniel & Di Leo, Margherita & San-Miguel-Ayanz, Jesús, 2013. "Toward open science at the European scale: geospatial semantic array programming for integrated environmental modelling," MPRA Paper 44194, University Library of Munich, Germany.

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