A KPI-Governed Architecture for Integrated Civilizational Renewal (ICRA): From Theological Convergence to Measurable Unity (MCPI)

This article introduces the Integrated Civilizational Renewal Architecture (ICRA) and its measurement core, the Multi-Convergence Performance Index (MCPI), a composite index for assessing unity across layered domains of rapprochement (taqrīb). Powered by the DDRNIC data engine (110 validated KPIs), MCPI integrates four convergence clusters Foundations (L1), Capability (L2), Impact (L3), and Stewardship (L4) and is gated by Consent & Privacy Compliance (CPC) and a Data Quality Index (DQI) to ensure ethical and reliable reporting. Methodologically, we employ a design-science, mixed-methods approach with an explanatory-sequential sequence: KPI dictionary construction and validation; surveys and document/communiqué analytics using AI-driven NLP; social network analysis for dialogue structure; and quasi-experimental designs (A/B, DiD, ITS) to attribute effects.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-30
DOI
https://doi.org/10.5281/zenodo.18094028
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

A KPI-Governed Architecture for Integrated Civilizational Renewal (ICRA): From Theological Convergence to Measurable Unity (MCPI)

Fatemeh Karami, SeyyedAbdolHojjat MoghadasNian, Zahra Raeisi, SeyyedAbdolHamed MoghadasNian et al.
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

A KPI-Governed Architecture for Integrated Civilizational Renewal (ICRA): From Theological Convergence to Measurable Unity (MCPI)

Fatemeh Karami, SeyyedAbdolHojjat MoghadasNian, Zahra Raeisi, SeyyedAbdolHamed MoghadasNian, AqilaSadat MoghadasNian
article en

Abstract

This article introduces the Integrated Civilizational Renewal Architecture (ICRA) and its measurement core, the Multi-Convergence Performance Index (MCPI), a composite index for assessing unity across layered domains of rapprochement (taqrīb). Powered by the DDRNIC data engine (110 validated KPIs), MCPI integrates four convergence clusters Foundations (L1), Capability (L2), Impact (L3), and Stewardship (L4) and is gated by Consent & Privacy Compliance (CPC) and a Data Quality Index (DQI) to ensure ethical and reliable reporting. Methodologically, we employ a design-science, mixed-methods approach with an explanatory-sequential sequence: KPI dictionary construction and validation; surveys and document/communiqué analytics using AI-driven NLP; social network analysis for dialogue structure; and quasi-experimental designs (A/B, DiD, ITS) to attribute effects.

Zenodo (CERN European Organization for Nuclear Research)
Islamic Azad University North Tehran Branch (IR), University of Religions and Denominations (IR)
Openalex Percentile: Top 25%
Ethics and Social Impacts of AI
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