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ImpactAlign: AI-Integrated Evaluation Protocol for SDG Bench-marking and Institutional Consultancy

Year: 2026

Type: preprint

Abstract: Description ImpactAlign is a pioneering AIintegrated evaluation protocol designed to transform SDG benchmarking and institutional consultancy. It combines automated compliance checks, schemadriven dataset integration, and predictive analytics to deliver a comprehensive framework for research offices and policymakers. By embedding AI into dashboards and simulations, ImpactAlign enables institutions to anticipate risks, optimize strategies, and align with global standards. Case studies illustrate its capacity to enhance ORIC executives’ decisionmaking, ensuring transparency, efficiency, and sustainability. Unlike conventional reporting tools, ImpactAlign establishes exclusivity by linking directly with frontier technologies, positioning itself as a global benchmark for research management and innovation ecosystems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21484454

Authors: Akhlas, Ahmed, Muhammad Hassan, Akhlas, Muhammad Sharique, Baig, Farrukh, Zaman

Institutions: Dynamic Research (United States), NED University of Engineering and Technology

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7170086636

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