The Interdisciplinary Impact of the Quantification of Everything Method

The Quantification of Everything (Q.E.) methodology is a three-step process designed to transform theoretical concepts into mathematical representations and validate the resulting models through the principle of multiple axiomatics. This methodology integrates algorithms and computational techniques, often involving a large number of estimations. Its application spans various scientific disciplines; in this context, has been illustrated its use in the field of economics. A distinctive feature of the Q.E. methodology is its ability to convert empirical theoretical concepts into tractable mathematical forms by utilizing virtual quantity data. This function is especially useful in domains such as the social sciences, where empirical data may be limited or entirely unavailable. By enabling the generation of virtual datasets to test theoretical models, the methodology offers a structured approach for translating qualitative insights into quantitative terms and deriving corresponding mathematical expressions. In summary, the Q.E. methodology is a robust and adaptable framework applicable across all epistemic domains.

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Publication Details

Journal
Spectrum of Engineering and Management Sciences
Published
2025-07-19
DOI
https://doi.org/10.31181/sems31202552s
Citations
1
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
4.20
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article

The Interdisciplinary Impact of the Quantification of Everything Method

1 citations
Spectrum of Engineering and Management Sciences
Qualitative Comparative Analysis Research
4.20
article

The Interdisciplinary Impact of the Quantification of Everything Method

article en
1 citations

Abstract

The Quantification of Everything (Q.E.) methodology is a three-step process designed to transform theoretical concepts into mathematical representations and validate the resulting models through the principle of multiple axiomatics. This methodology integrates algorithms and computational techniques, often involving a large number of estimations. Its application spans various scientific disciplines; in this context, has been illustrated its use in the field of economics. A distinctive feature of the Q.E. methodology is its ability to convert empirical theoretical concepts into tractable mathematical forms by utilizing virtual quantity data. This function is especially useful in domains such as the social sciences, where empirical data may be limited or entirely unavailable. By enabling the generation of virtual datasets to test theoretical models, the methodology offers a structured approach for translating qualitative insights into quantitative terms and deriving corresponding mathematical expressions. In summary, the Q.E. methodology is a robust and adaptable framework applicable across all epistemic domains.

Spectrum of Engineering and Management SciencesVol. 4(1)
National and Kapodistrian University of Athens (GR)
Climate action
Openalex Percentile: Top 6%
Qualitative Comparative Analysis Research
4.20
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