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dc.contributor.authorKaiser, Matthias
dc.contributor.authorBuklijas, Tatjana
dc.contributor.authorGluckman, Peter
dc.date.accessioned2022-03-11T12:11:00Z
dc.date.available2022-03-11T12:11:00Z
dc.date.created2022-01-19T09:26:53Z
dc.date.issued2021
dc.identifier.issn1063-6145
dc.identifier.urihttps://hdl.handle.net/11250/2984635
dc.description.abstractWe argue for a foundational epistemic claim and a hypothesis about the production and uses of mathematical epidemiological models, exploring the consequences for our political and socio-economic lives. First, in order to make the best use of scientific models, we need to understand why models are not truly representational of our world, but are already pitched towards various uses. Second, we need to understand the implicit power relations in numbers and models in public policy, and, thus, the implications for good governance if numbers and models are used as the exclusive drivers of decision making.en_US
dc.language.isoengen_US
dc.publisherMIT Pressen_US
dc.titleModels and numbers: Representing the world or imposing order?en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderCopyright 2021 The Massachusetts Institute of Technologyen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1162/posc_a_00373
dc.identifier.cristin1984305
dc.source.journalPerspectives on Scienceen_US
dc.identifier.citationPerspectives on Science. 2021en_US


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