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dc.contributor.authorSaltelli, Andrea
dc.contributor.authorPuy, Arnald
dc.date.accessioned2024-03-20T13:52:52Z
dc.date.available2024-03-20T13:52:52Z
dc.date.created2023-06-14T18:28:21Z
dc.date.issued2023
dc.identifier.issn2662-9992
dc.identifier.urihttps://hdl.handle.net/11250/3123440
dc.description.abstractSociology of quantification has spent relatively less energies investigating mathematical modelling than it has on other forms of quantification such as statistics, metrics, or algorithms based on artificial intelligence. Here we investigate whether concepts and approaches from mathematical modelling can provide sociology of quantification with nuanced tools to ensure the methodological soundness, normative adequacy and fairness of numbers. We suggest that methodological adequacy can be upheld by techniques in the field of sensitivity analysis, while normative adequacy and fairness are targeted by the different dimensions of sensitivity auditing. We also investigate in which ways modelling can inform other instances of quantification as to promote political agency.en_US
dc.language.isoengen_US
dc.publisherNatureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleWhat can mathematical modelling contribute to a sociology of quantification?en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.source.articlenumber213en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1057/s41599-023-01704-z
dc.identifier.cristin2154648
dc.source.journalHumanities & Social Sciences Communicationsen_US
dc.identifier.citationHumanities & Social Sciences Communications. 2023, 10 (1), 213.en_US
dc.source.volume10en_US
dc.source.issue1en_US


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