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 (Unpublished)
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Abstract
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.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Historical Studies |
| Depositing User: | Administrator |
| Date Deposited: | 26 Feb 2015 08:08 |
| Last Modified: | 02 Aug 2023 17:15 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/11742 |
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