Software engineering standards for epidemiological models

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History and Philosophy of the Life Sciences 42 (4):1-24 (2020)
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Abstract

There are many tangled normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London covid-19 simulator, set in the context of recent work in epistemology of simulation and philosophy of epidemiology.

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10.1007/s40656-020-00347-6

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John Symons
University of Kansas

Citations of this work

Epidemiological models and COVID-19: a comparative view.Valeriano Iranzo & Saúl Pérez-González - 2021 - History and Philosophy of the Life Sciences 43 (3):1-24.

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References found in this work

Science in the age of computer simulation.Eric Winsberg - 2010 - Chicago: University of Chicago Press.
Content preservation.Tyler Burge - 1993 - Philosophical Review 102 (4):457-488.
Data-Centric Biology: A Philosophical Study.Sabina Leonelli - 2016 - London: University of Chicago Press.

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