What can mathematical modelling contribute to a sociology of quantification?

Science, technology and society Sociology

Journal

Humanities & social sciences communications
ISSN: 2662-9992
Titre abrégé: Humanit Soc Sci Commun
Pays: England
ID NLM: 101772751

Informations de publication

Date de publication:
2023
Historique:
received: 09 09 2022
accepted: 18 04 2023
pubmed: 17 5 2023
medline: 17 5 2023
entrez: 16 5 2023
Statut: ppublish

Résumé

Sociology 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.

Identifiants

pubmed: 37192940
doi: 10.1057/s41599-023-01704-z
pii: 1704
pmc: PMC10163851
doi:

Types de publication

Journal Article

Langues

eng

Pagination

213

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

Auteurs

Andrea Saltelli (A)

UPF Barcelona School of Management, Barcelona, Spain.
Centre for the Study of the Sciences and the Humanities, University of Bergen, Bergen, Norway.

Arnald Puy (A)

School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.

Classifications MeSH