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dc.contributor.authorSaltelli, Andrea
dc.contributor.authorPuy, Arnald
dc.contributor.authorDi Fiore, Monica
dc.date.accessioned2025-03-13T07:55:48Z
dc.date.available2025-03-13T07:55:48Z
dc.date.created2024-06-24T13:49:38Z
dc.date.issued2024
dc.identifier.issn0269-2171
dc.identifier.urihttps://hdl.handle.net/11250/3183159
dc.description.abstractModels live in a state of exception. Their versatility, the variety of their methods, the impossibility of their falsification and their epistemic authority allow mathematical models to escape, better than other cases of quantification, the lenses of sociology and other humanistic disciplines. This endows models with a pretence of neutrality that perpetuates the asymmetry between developers and users. Models are thus both underexplored and overinterpreted. While retaining a firm grip on policy, they reinforce the entrenched culture of transforming political issues into technical ones, possibly decreasing citizens’ agency and thus favouring anti-democratic policies. To combat this state of exception, one should question the reproducibility of models, foster complexity of interpretation rather than complexity of construction, and encourage forms of activism aimed at achieving a reciprocal domestication between models and society. To breach the solitude of modellers, more actors should engage in practices such as assumption hunting, modelling of the modelling process, and sensitivity analysis and auditing.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMathematical models: a state of exceptionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2024 the authorsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1080/02692171.2024.2365727
dc.identifier.cristin2278409
dc.source.journalInternational Review of Applied Economicsen_US
dc.identifier.citationInternational Review of Applied Economics. 2024.en_US


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