USING ARTIFICIAL INTELLIGENCE TO ANALYZE THE ATTRACTIVENESS OF A REGION FOR POTENTIAL MIGRATION

  • N.B. Ilina Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia
DOI: https://doi.org/10.34680/BENEFICIUM.2026.2(59).114-124

Abstract

Artificial intelligence has entered the life of a modern person and its use is dynamically increasing along with the development of digitalization of modern society. The scale of its use affects various aspects of social life, from broadcasting information to art and healthcare. The article presented by the author explores the possibility of using artificial intelligence (hereinafter referred to as AI) to analyze individual indicators that are used to assess the socio-economic dynamics of the regions of the Russian Federation, due to changes in the rate of information exchange about ongoing processes. AI tools such as machine learning, big data collection and processing using Big Data methods are described, regional clustering and verification of predictive scenarios are used. The degree of development of the topic of using AI to collect and process large amounts of information in the domestic scientific environment is described. In order to improve the efficiency of regional management, monitoring of their socio-economic development is applied. A number of indicators have been defined to assess the position of regions. The author identifies such indicators as migration flows and migration attractiveness, proving their complexity for assessing the socio-economic state and investment climate. The use of these indicators made it possible to assess the attractiveness of the subjects of the North-Western Federal District. The analysis of the use of AI to assess demographic, economic and social dynamics is carried out. Certain limitations and prospects for the implementation of intellectual systems in regional management have been identified, which can be used for regional forecasting. The results of the study confirm the high importance and potential of using AI technologies for the systemic development of Russian regions, the formation of socio-economic development strategies and the timely adjustment of adopted programs.

Keywords: artificial intelligence, migration attractiveness of regions, monitoring of regional                 development, ranking of regions, socio-economic development

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About the Author

Nadezda B. Ilina – Graduate Student, Yaroslav-the-Wise Novgorod State University, Veliky Novgorod, Russia. ilinanadia@yandex.ru. SPIN РИНЦ 9451-4360. ORCID 0009-0007-1047-5316

For citation: Ilina N.B. Using Artificial Intelligence to Analyze the Attractiveness of a Region for Potential Migration // BENEFICIUM. 2026. Vol. 2(59). Pp. 114-124. (In Russ.). DOI: 10.34680/BENEFICIUM.2026.2(59).114-124

 

Published
2026-06-05
Issue
No 2 (2026)
Section
SUSTAINABLE DEVELOPMENT OF TERRITORIES