Abstract
The present work looks at what we call “the multiverse of quantification”, where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists, express concerns or identify critical areas of our relationship with new technologies of ‘numericization’. While mindful of the important specificities of the different families of quantification, we use our broad and holis- tic canvas to explore possible spaces for a more systematic investigation of incumbent and novel quantifications, as to increase communication among disciplinary communities, and among these and society, in the pursuit a democratic agency and self-defence.
Citations
-
8
CrossRef
-
0
Web of Science
-
1 0
Scopus
Authors (5)
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11024-022-09481-w
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Minerva - A Review of Science, Learning and Policy
no. 61,
pages 51 - 70,
ISSN: 0026-4695 - Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Kuc-Czarnecka M., Di Fiore M., Lo Piano S., Puy, A., Saltelli, A.: The Challenge of Quantification: An Interdisciplinary Reading// Minerva - A Review of Science, Learning and Policy -Vol. 61, (2023), s.51-70
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11024-022-09481-w
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 138 times
Recommended for you
Advances in analysis, quantification and modelling of N2O emission in SBRs under various DO set points
- M. S. Shourjeh,
- M. J. Mehrani,
- P. Kowal
- + 2 authors
Regression points in non-intrusive polynomial chaos expansion method and D-optimal design
- K. Szepietowska,
- B. Magnain,
- I. Lubowiecka
- + 1 authors
When all we have is not enough: a search for the optimal method of quantifying inflation expectations
- A. Rutkowska,
- M. Szyszko,
- M. Pietrzak