Artificial intelligence as an effective tool for measuring and planning the quality of life of the Russian population
Research Article
Acknowledgments
The research was carried out within the framework of the State assignment to Ufa Federal Research Center RAS No. 075–00571–25–00 for 2025.
How to Cite
Gubarev R.V., Yarasheva A.V., Dzyuba E.I. Artificial intelligence as an effective tool for measuring and planning the quality of life of the Russian population. Population. 2025. Vol. 28. No. 2. P. 129-144. DOI: https://doi.org/10.24412/1561-7785-2025-2-129-144 (in Russ.).
Abstract
Russia’s accession to the UN International sustainable development program involves solving a number of social problems and, above all, combating poverty and smoothing out monetary (in terms of monetary income). Solution to these problems at the present stage of our country’s development is complicated by the military conflict in Ukraine. The collective West is exerting unprecedented sanctions pressure on the national economy. In this situation, the issue of improving the state’s social policy is becoming more relevant, which, in turn, also involves development of tools for monitoring the quality of life of the population of our country. This study is devoted to development and testing of the author’s approach for a comprehensive assessment of the quality of life of the Russian population at the meso-level of management using artificial intelligence. The rating of Russian regions, based on the quality of life of the population, was carried out using the index method. The rating for 2023 was headed by the Republic of Tatarstan, but not, as usual (according to the results presented in other thematic works), by Moscow. The capital of our country took second place in the rating in 2023 (in the previous year, it also practically shared second and third place with St. Petersburg). The relatively low place in the rating is explained by the fact that Moscow was only in 56th place in the third sub-rating, which characterizes the level of poverty and inequality of the population by income. Hence, the capital of the country at the current stage of development is, without exaggeration, a city of contrasts in terms of poverty and monetary inequality of the population. Artificial intelligence allows us to do a correct grouping of subjects of the Russian Federation by the quality of life of the population. With its help, factor analysis is also deepened, and, consequently, the mechanism for planning and forecasting the phenomenon under study is improved. Ultimately, the results of the thematic assessment using artificial intelligence can be taken into account when adjusting the state’s social policy.
Keywords:
quality of life, poverty, social inequality, regions of Russia, artificial intelligence, clustering, classification, forecasting
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2. Bobkov V. N. Paradigma bazovogo dokhoda i yeyo vliyanije na vozmozhnosti razvitiya chelovecheskogo potentsiala [The basic income paradigm and its impact on human development opportunities]. Vestnik instituta sotsiologii [Bulletin of the Institute of Sociology]. 2023. No. 4. P. 18–37. DOI: 10.19181/vis.2023.14.4.2 (in Russ.)
3. Bobkov V. N., Gulyugina A. A., Odintsova E. V. Sotsial’nyje posledstviya tridtsati let kapitalisticheskikh reform v Rossii [Social consequences of thirty years of capitalist reforms in Russia]. Rossiyskiy ekonomicheskiy zhurnal [Russian Economic Journal]. 2022. No. 1. P. 78–107. DOI: 10.33983/0130-9757-2022-1-78-107 (in Russ.)
4. Gorshkov M. K. Rossiyskoje obshchestvo v sotsiologicheskom izmerenii [Russian society in the sociological dimension]. Vestnik Rossiyskoy akademii nauk [Herald of the Russian Academy of Sciences]. 2020. No. 3. P. 232–242. DOI: 10.31857/S0869587320030068 (in Rus.)
5. Gorshkov M. K. Sub»jektivnoje blagopoluchije v kontekste kachestva zhizni (po rezul’tatam sotsiologicheskikh izmereniy) [Subjective well-being in the context of quality of life (based on the results of sociological measurements)]. Vestnik Rossiyskoy akademii nauk [Herald of the Russian Academy of Sciences]. 2024. No. 2. P. 107–114. DOI: 10.31857/S0869587324020031 (in Russ.)
6. Toshchenko Zh. T. Obshchestvennyy dogovor: istoricheskije i sovremennyje realii v sovetskom / rossiyskom obshchestve [Social contract: historical and contemporary realities in Soviet/Russian society]. Ekonomicheskije i sotsial’nyje peremeny: fakty, tendentsii, prognoz [Economic and Social Changes: Facts, Trends, Forecast]. 2023. No. 3. P. 39–53. DOI: 10.15838/esc.2023.3.87.2 (in Russ.)
7. Toshchenko Zh. T. Publichnyy i privatnyy zhiznennyy mir prekariata: osnovnyje cherty i orientiry [The public and private life world of the precariat: main features and landmarks]. Socis. Sotsiologicheskije issledovaniya [Socis. Sociological Studies]. 2021. No. 11. P. 24–36. DOI: 10.31857/S013216250016200-3 (in Russ.)
8. Latov Yu. V., Tikhonova N. E. Novoje obshchestvo — novyy resurs — novyy klass? (k 60-letiyu teorii chelovecheskogo kapitala) [A new society, a new resource, a new social class? (60th anniversary of the human capital theory)]. Terra Economicus. 2021. No. 2. P. 6–27. DOI: 10.18522/2073-6606-2021-19-2-6-27 (in Russ.)
9. Tikhоnova N. E., Slobodenyuk E. D. Bednost’ rossiyskih professionalov: rasprostranennost’, prichiny, tendentsii [Poverty among Russian professionals: scale, causes, trends]. Mir Rossii [Universe of Russia]. 2022. No. 1. P. 113–137. DOI: 10.17323/1811-038X-2022-31-1-113-137 (in Russ.)
10. Chernysh М. F. Institutsional’nyje osnovy neravenstva v sovremennom obshchestve [The institutional foundations of inequality in modern society]. Mir Rossii [Universe of Russia]. 2021. No. 3. P. 6–28. DOI: 10.17323/1811-038X-2021-30-3-6-28 (in Russ.)
11. Chernysh M. F., He Yijin. Diskursy sotsial’noy spravedlivosti v kitayskom i rossiyskom kul’turnyh kontekstakh [Discourses of social justice in the Chinese and Russian cultural contexts]. Polis. Politicheskije issledovaniya [Polis. Political Studies]. 2021. No. 3. P. 111–128. DOI: 10.17976/jpps/2021.03.08 (in Russ.)
12. Shmatova Yu. E., Morev M. V. Izmerenije urovnya schast’ya: literaturnyy obzor rossiyskikh i zarubezhnykh issledovaniy [Assessing the level of happiness: a review of Russian and foreign research]. Ekonomicheskije i sotsial’nyje peremeny: fakty, tendentsii, prognoz [Economic and Social Changes: Facts, Trends, Forecas]. 2015. No. 3. P. 141–162. DOI: 10.15838/esc/2015.3.39.11 (in Russ.)
13. Bobkov V. N., Dolgushkin N. K., Odintsova E. V. Osobennosti zhilishchnoy obespechennosti sel’skogo i gorodskogo naseleniya [Features of housing provision for rural and urban population]. Vestnik Rossiyskoy akademii nauk [Herald of the Russian Academy of Sciences]. 2021. No. 8. P. 745–754. DOI: 10.31857/S0869587321080053 (in Russ.)
14. Bobkov V. N., Odintsova E. V. Sotsial’noje neravenstvo v Rossii [Social inequality in Russia]. Zhurnal novoy ekonomicheskoy assotsiatsii [Journal of the New Economic Association]. 2020. No. 3. P. 179–184. DOI: 10.31737/2221-2264-2020-47-3-8 (in Russ.)
15. Gubarev R. V., Dzyuba E. I., Kulikova O. M., Fayzullin F. S. Upravlenije kachestvom zhizni naseleniya v regionah Rossii [Quality management of the population in the regions of Russia]. Zhurnal institutsional’nykh issledovaniy [Journal of Institutional Studies]. 2019. No. 2. P. 146–170. DOI: 10.17835/2076-6297.2019.11.2.146-170 (in Russ.)
16. Stroev P. V., Nizamutdinov M. M., Oreshnikov V. V. Metodicheskiy podhod k kompleksnoy otsenke urovnya zhizni naseleniya v regionah Rossii [Methodological approach to comprehensive assessment of living standards in Russian regions]. Regionologiya [Russian Journal of Regional Studies]. 2024. No. 1. P. 71–89. DOI: 10.15507/2413-1407.126.032.202401.071-089 (in Russ.)
17. Tikunov V. S., Belousov S. K. Integral’naya otsenka kachestva zhizni naseleniya gorodov i regionov Rossii [Integral assessment of the quality of life in Russian cities and regions]. Vestnik Moskovskogo universiteta. Seriya 5. Geografiya [Moscow University Bulletin. Series 5. Geography]. 2022. No. 2. P. 48–60. (in Russ.)
Article
Received: 11.11.2024
Accepted: 16.06.2025
Citation Formats
Other cite formats:
APA
Gubarev, R. V., Yarasheva, A. V., & Dzyuba, E. I. (2025). Artificial intelligence as an effective tool for measuring and planning the quality of life of the Russian population. Population, 28(2), 129-144. https://doi.org/10.24412/1561-7785-2025-2-129-144
Section
SOCIO-ECONOMIC ISSUES OF DIGITALIZATION
