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    Data quality implications of scientific software complexity

    Newman, Julian Data quality implications of scientific software complexity. In: 7th Workshop on the Philosophy of Information, 30 Mar 2015, London, UK. (Unpublished)

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    Scientific findings based on computer simulation evoke sceptical responses because their output does not appear to have an objective status comparable to data captured by observation or experiment. However the simulationists have been defended on grounds that their practices, like those of experimenters, carry with them their own credentials. It has been further argued that epistemic opacity is essential to the nature of computational science and that epistemology of science must cease to be anthropocentric. Such philosophical faith in software runs counter to both established practice in software engineering, and the underlying software engineering science. In computational science as elsewhere data quality can only be assured through the exercise of human critical judgment.


    Item Type: Conference or Workshop Item (Paper)
    School: School of Social Sciences, History and Philosophy > Philosophy
    Depositing User: Administrator
    Date Deposited: 26 Feb 2015 08:08
    Last Modified: 10 Feb 2021 02:30


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