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Making pandemics big: On the situational performance of Covid-19 mathematical models.
Soc Sci Med
May 2022
University of New South Wales, Sydney, Australia.
In this paper, we trace how mathematical models are made 'evidence enough' and 'useful for policy'. Working with the interview accounts of mathematical modellers and other scientists engaged in the UK Covid-19 response, we focus on two weeks in March 2020 prior to the announcement of an unprecedented national lockdown. A key thread in our analysis is how pandemics are made 'big'.
View Article and Find Full Text PDFTrust is one of the big buzzwords in debates about the shaping of society, democracy, and emerging technologies. For example, one prominent idea put forward by the High-Level Expert Group on Artificial Intelligence appointed by the European Commission is that artificial intelligence should be trustworthy. In this essay, we explore the notion of trust and argue that both proponents and critics of trustworthy AI have flawed pictures of the nature of trust.
View Article and Find Full Text PDFMAC Meeting MIGET: Leaps of Faith.
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November 2017
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Trends Cogn Sci
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