Reputation-based System for Expert Workforce Support for China-Russia Partnership

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Abstract

This article presents the concept of a reputation-based organizational and technical system designed to facilitate workforce interaction between the Russian Federation and the People's Republic of China in support of investment, industrial, and innovation-technology cooperation. The article addresses issues related to workforce provision, including insufficient data structuring, lack of mechanisms for validating competencies, and information noise, which render current platforms unsuitable for finding highly specialized experts. The proposed system is based on the use of modern technologies such as artificial intelligence, machine learning, semantic analysis, and manual data curation, along with the integration of state accreditation and verification mechanisms. It aims to eliminate linguistic, cultural, and informational barriers between the labor markets of Russia and China, while providing a unified tool for identifying top-tier experts with unique competencies, essential for executing complex international projects.

About the authors

I. F. Kuzminov

National Research University Higher School of Economics

Email: ikuzminov@hse.ru
Candidate of Sciences (PhD) in Economic, Social, Political and Recreational Geography, Director, «Institute for Public Administration and Governance» 9-11 Myasnitskaya Str., Moscow, 101000

V. A. Ignatova

MIREA – Russian Technological University

Email: vignatovaa@yandex.ru
Lecturer 78 Vernadsky Avenue, Moscow, 119454

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