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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. [...]

Suggested Citation

  • de Rigo, Daniele, 2013. "Software uncertainty in integrated environmental modelling: the role of semantics and open science," MPRA Paper 45960, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:45960
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    References listed on IDEAS

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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. Yongyang Cai & Kenneth L. Judd & Thomas S. Lontzek, 2012. "Open science is necessary," Nature Climate Change, Nature, vol. 2(5), pages 299-299, May.
    3. Robert Lempert & Michael E. Schlesinger, 2001. "Climate-change strategy needs to be robust," Nature, Nature, vol. 412(6845), pages 375-375, July.
    4. Phillis, Yannis A. & Kouikoglou, Vassilis S., 2012. "System-of-Systems hierarchy of biodiversity conservation problems," Ecological Modelling, Elsevier, vol. 235, pages 36-48.
    5. 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.
    6. 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. Paunić, Alida, 2016. "Brazil, Preservation of Forest and Biodiversity," MPRA Paper 71462, 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. 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.

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    More about this item

    Keywords

    software uncertainty; software errors; open science; free software; free scientific software; semantic array programming; data-transformation modelling; reproducible research; environmental modelling; complexity; uncertainty;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

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