DOI: 10.33917/es-5.203.2025.6-19

The article examines the problems of transforming the system for economic management of the Russian Federation, which could make it function in conditions of hybrid risks and critical threats. A set of measures for transforming management systems is structured, a number of functional stages is identified. The article substantiates the need to develop both general management and specific technical measures aimed at ensuring that the controlled contour of the system of state and corporate management centers within the resource supply infrastructure should be prepared for these types of risks and threats. The author concludes that the most appropriate management tool is adoption of a digital “twin” model of an economic entity (organizational agent). Obtained results will enable authorities to address organizational challenges in the event of the “drop-out of control centers at various levels” in order to operate with industry (regional) control centers and to work in a dialogue mode with structures of the Russian Federation Government and infrastructure organizations.

References:

1. Ageev A.I., Loginov E.L. SShA, Kitay, Rossiya: konfliktnye uyazvimosti v usloviyakh tranzita k novoy geostrategicheskoy paradigm [USA, China, Russia: Conflict Vulnerabilities in the Context of Transition to a New Geostrategic Paradigm]. Ekonomicheskie strategii, 2024, vol. 26, no 6(198), pp. 16–25, DOI: https://doi.org/10.33917/es-6.198.2024.16-25

2. Ageev A.I., Grabchak E.P., Loginov E.L. Ustoychivost’ ekonomicheskoy supersistemy Rossii i Belorussii v usloviyakh yadernoy ataki [Stability of the Economic Supersystem of Russia and Belarus in the Event of a Nuclear Attack]. Mikroekonomika, 2025, no 2, pp. 5–13. DOI: 10.33917/mic-2.121.2025. 5-13.

3. Perevooruzhenie Evropy [Rearmament of Europe]. Livejournal, 2025, 7 marta, available at: https://spydell.livejournal.com/802118.html

4. Pavel Shpidel’: Raskhody federal’nogo byudzheta Rossii [Expenditures of the Federal Budget of Russia]. Dzen, 2024, 1 oktyabrya, available at: https://dzen.ru/a/ZvwlBD2apwzl2Nap

5. Byudzhet Rossii [Budget of Russia]. TADVISER, 2025, 22 yanvarya, available at: https://www.tadviser.ru/index.php/Статья:Бюджет_России

6. Kak izmenyatsya gosudarstvennye raskhody v Rossii v 2025? [How will Government Spending Change in Russia in 2025?]. Livejournal, 2024, 3 oktyabrya, available at: https://spydell.livejournal.com/789883.html

7. Baza dannykh voennykh raskhodov SIPRI [SIPRI Military Expenditure Database]. SIPRI. Stockholm International Peace Research Institute, available at: https://www.sipri.org/databases/milex

8. Dinamika oboronnykh raskhodov Rossii [Dynamics of Russia’s Defense Expenditures], available at: https://yandex.ru/images/

9. Ivanter V.V., Budanov I.A., Korovkin A.G., Sutyagin V.S. Prikladnoe prognozirovanie natsional’noy ekonomiki: Ucheb. posobie dlya vuzov. Gl. 29. Voenno-promyshlennyy kompleks [Applied Forecasting of the National Economy: Textbook for Universities. Chapter 29. Military-Industrial Complex]. Moscow, Ekonomist, 2007, 896 p. P. 711–736, available at: https://ecfor.ru/wp-content/uploads/books/uch/29.pdf

DOI: 10.33917/es-4.202.2025.86-97

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Anchishkin A.I. Nauka, tekhnika, ekonomika [Science, Technology, Economics]. Moscow, Ekonomika, 1986. 383 p.

2. Kheynman S.A. Nauchno-tekhnicheskaya revolyutsiya segodnya i zavtra [Scientific and Technological Revolution Today and Tomorrow]. Moscow, Politizdat, 1977, 328 p.

3. L’vov D.S. Effektivnoe upravlenie tekhnicheskim razvitiem [Effective Management of Technical Development]. Moscow, Ekonomika, 1990, 255 p.

4. L’vov D.S., Glaz’ev S.Yu. Teoreticheskie i prikladnye aspekty upravleniya NTP [Theoretical and Applied Aspects of Scientific and Technical Progress Management]. Ekonomika i matematicheskie metody, 1986, no 5, pp. 793–804.

5. Glaz’ev S.Yu. Teoriya dolgosrochnogo tekhniko-ekonomicheskogo razvitiya [Theory of Long-Term Technical and Economic Development]. Moscow, Vladar, 1993, 310 p.

6. Peres K. Tekhnologicheskie revolyutsii i finansovyy kapital. Dinamika puzyrey i periodov protsvetaniya [Technological Revolutions and Financial Capital. Dynamics of Bubbles and Periods of Prosperity]. Moscow, Delo, 2011, 232 p.

7. Dosi G. Technical Change and Industrial Transformation: The Patterns of Industrial Dynamics. Technical Change and Industrial Transformation. Palgrave Macmillan, London. 1984. 338 p.

8. Perez C. Structural change and assimilation of new technologies in the economic and social systems. Futures, 1983, vol. 4, no. 15, pp. 357–375.

9. Freeman C. Technology policy and economic performance: lessons from Japan. London, Pinter Publishers, 1987. 155 p.

10. Edler J., Blind K., Kroll H., Schubert T. Technology sovereignty as an emerging frame for innovation policy. Defining rationales, ends and means. Research Policy, vol. 52, iss. 6, 2023, 104765.

11. Erebak S., Turgut T. Anxiety about the speed of technological development: Effects on job insecurity, time estimation, and automation level preference. The Journal of High Technology Management Research, vol. 32, iss. 2, 2021, 100419.

12. Eum W., Lee J-D. The co-evolution of production and technological capabilities during industrial development. Structural Change and Economic Dynamics, vol. 63, 2022, pp. 454–469.

DOI: 10.33917/mic-5.118.2024.5-13

The article dwells on the problems of increasing stability of artificial societies consisting of organizational agents as elements of a digital supersystem with a significant component of unpredictable behaviour. The problems of supersystem observability are analyzed. It is proposed to unify information, telematic and computing services for creating a digital twin in order to support the transition of an individual from a cluster of unpredictable behaviour (aggressive behaviour) to a cluster with confirmed trust as a computing solution. Introduction of quantum computing allows us to obtain more substantiated assessments of productivity of the process of increasing the artificial societies’ sustainability based on the use of quantum simulators that allow, in difficult crisis conditions, to calculate all the optimization indicators for a large number of objects and resources in relation to the personalities of recipients (buyers) of information, each of whom is in a local uncertain and confusing choice of solutions for actions in a digital supersystem. The author substantiates direction of the imprinting vector of the reflexive matrices’ developed profiles depending on the different person’s satisfaction with life as a base point, from which one can start for artificially inducing the experience of reality in order to support transition of an individual from a cluster of unpredictable behaviour (aggressive) to a cluster with confirmed trust as a computing solution.

References:

1. Ageev A.I., Grabchak E.P., Loginov E.L. Using artificial intelligence in the implementation of troop command and control of civilian facilities as a single hybrid battlefield. Neurocomputers and their application: Abstracts of the XX All-Russian scientific conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31–33.

2. Ageev A.I., Grabchak E.P., Loginov E.L. Using supercomputer technologies to manage the operation of super-large organizational systems in the implementation of complex special projects (operations). Microeconomics. 2024;1:5–10.

3. Defense Advanced Research Projects Agency • Budget Estimates FY 2024. URL: https://comptroller.defense.gov/Portals/45/Documents/defbudget/fy2024/budget_justification/pdfs/

4. Loginov E.L. Digital Technologies of Political Struggle: Neural Network Imperatives of Information Counteraction to Attempts to Intercept Control in the Socio-Political Environment. Moscow: «Rusains», 2024. 234 p.

5. Ageyev A.I., Loginov E.L. Neurocommunity – is it the Future of Humanity? Economic Strategies. 2022;24(5 (185)):42–51.

6. Grabchak E.P., Loginov E.L. Maintaining the Operation of an Integrated Complex of Civil and Special Structures Based on Digital Synchronization of Monitoring, Communication, Analytics and Control Functions. Problems of Complex Systems Security Management: Proceedings of the XXXI International Conference, Moscow, December 13, 2023. Moscow: V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, 2023. pp. 499–504.

DOI: 10.33917/es-2.188.2023.90-93

Tougher requirements for the accuracy and reliability of the system time scale (TS) in the electric power industry, as well as changes in the geopolitical situation, have caused the need to revise the existing methods of TS organization. “UEC” JSC has developed the Methodological Recommendations “Unified Precision Time System at High-Voltage Network Facilities”. The article reveals the current method of organizing power facilities of the power grid companies in the Russian Federation. Results of the analysis of the need to improve reliability of the TS organization and to ensure the required accuracy of time signals, as well as proposals for their implementation are presented.

References:

1. Bogdanov E.A., Ivanov A.M., Kol’tsov P.A., Shvarts M.L. Edinaya sistema sinkhronizatsii vremeni v tekhnologicheskikh sistemakh energoob”ektov i DTs RSK [Unified Time Synchronization System in Technological Systems of Power Facilities and RSK DC]. Moskovskii energetik, 2022 (dekabr’), no 10(144), pp. 6–7.

2. Ryzhkov A.V., Donchenko S.I., Ivanov A.V., Koltunov M.N., Savchuk A.V., Shvarts M.L. Peredacha signalov vremeni po seti svyazi obshchego pol’zovaniya [Transmitting Time Signals over a Public Communications Network]. Elektrosvyaz’, 2010, no 12, pp. 42–47.

3. Ryzhkov A.V., Shvarts M.L., Aladin V.M., Isupov A.V. Opyt vnedreniya sistem chastotno-vremennogo obespecheniya setei svyazi [Experience in Implementing Systems for Time-Frequency Support of Communication Networks]. T-Comm: Telekommunikatsii i transport, 2022, vol. 16, no 7, pp. 21–28.

4. Zuev E.V., Ryzhkov A.V., Pelyushenko A.S., Samatov V.I., Sakharov B.A. Pervichnyi etalonnyi istochnik VCH-1008C sistemy taktovoi setevoi sinkhronizatsii v tsifrovykh setyakh [VCH-1008C Primary Reference Source for Network Clock Synchronization System in Digital Networks]. Elektrosvyaz’, 2013, no 2, pp. 32–33.

5. Shvarts M.L., Ryzhkov A.V. Sovremennye tendentsii razvitiya sistem setevoi sinkhronizatsii v setyakh elektrosvyazi. Ot pleziokhronnykh do kogerentnykh setei [Modern Trends in the Development of Network Synchronization Systems in Telecommunication Networks. From Plesiochronous to Coherent Networks]. Sistemy sinkhronizatsii, formirovaniya i obrabotki signalov, 2021, no 4, pp. 27–38.

DOI: 10.33917/mic-5.94.2020.93-98

The research article studies the specifics of the service market using the example of the Republic of Tatarstan, within the framework of which the structural components of improving the quality of service are identified and the main directions for the development of innovations are determined. The monitoring of the state and development of the service market was carried out, in the process of which the respondents assessed the problem areas on a 5-point scale. When researching the questionnaires of a sociological survey, the main directions of development of the service sector are presented.

DOI: 10.33917/mic-2.91.2020.75-87

The study is aimed at studying the factors of influence of economic preconditions on the level of social tension in rural areas. Methods. The study analyzes various factors that affect the development of rural areas, with an emphasis on economic impact, and determines the criteria necessary for assessing the level of social tension. The study is based on an analysis of the state of rural areas of the Perm region and the population living in them, based on statistical indicators that characterize them. Data on the level and quality of life of the population, demographic situation, unemployment, crime and migration are analyzed. Scientific novelty. Taking into account the relevance of the research topic, the authors come to a reasonable conclusion about the need to analyze and assess the level of social tension in rural areas. Results and practical significance.

On the basis of the conducted analysis, the characteristic features of the current state of the rural population of the Perm territory are highlighted and described. Factors that influence social tension in these territories are identified, and problems that need to be addressed in order to avoid negative consequences of social tension are identified. Taking into account the relevance of the considered issues for any agricultural territory of our country, the approach proposed by the authors will be interesting and universal in practical application by specialists in the field of state and municipal management, agriculture, and economy of both Federal and state authorities of the subjects of the Russian Federation and local self-government bodies.

The article discusses current issues of developing a unified system for monitoring the technical and technical and economic indicators of weapons, military and special equipment. To address these issues, it is proposed to create an automated integrated system for monitoring the technical and technical and economic indicators of weapons, military and special equipment. The main idea of the system is to create specific strata at each analytical level using a network-centric architecture with access to the appropriate database of both military command and defense enterprises according to the corresponding nomenclature of military and military equipment.

The article discusses the organization of information and network events aimed at protecting key points of political management of vital functions of the State on the basis of information and computing tools to operate the operating parameters of neural network monitoring and study the set of data on processes affecting personality. The need for the use of intelligent means of unclean logic and neural networks to support state systems of counterintelligence, surveillance and political governance with respect to subjects available for identification, digital description and analysis of their sociopathicity in relation to state institutions of political governance is justified. Neural network synthesis of digital matrices of key cognitive and psychosocial indicators of individuals and their groups is carried out to detect reactions to the package of political information of any subject using electronic communicative services. On this basis, measures are implemented to manage the metastable states of his personality and to configure cognitive and psychosocial mechanisms of interpretation of reality in conditions of dominance of unreported factors of an information nature (information stimuli).

The key factor determining the victory in the battle for the future is not the territory, not the army and not the volume of financial, material and intellectual resources being involved. The key factor of the victory is cognitive programming of subjective reality: mass-individual adjustment of the semantic interpretation of the existence goal and life success to form the material future through self-adjustment of the surrounding subjective reality to the “image of Victory” in cognitive perception of oneself and the surrounding material, virtual and imaginary individual world. Special urgency is acquired by this factor in conditions of building a “digital economy”. The basis of such mechanisms constitutes noomonitoring as a tool for making a “cognitive snapshot” of subjective reality, forecasting, planning and metaprogramming on its basis the “image of Victory” by forming in groups of individuals new knowledge about themselves and the surrounding world, as well as the structure of ideological and professional patterns for interpreting surrounding reality and its subsequent correction within the personal management while developing and implementing management decisions of individuals and groups as a basic reference point for managing groups of interrelated people, machines, technical, including information, systems and natural objects.

Research is focused on the problems of forming a qualitatively new model for monitoring, planning and coordination of monetary-financial and commodity policy in management of Russia’s national foreign exchange reserves (including regulation of bimetallic matrixes fluctuation dynamics of gold and silver spreads) with the agreed course of a particular currency, on terms and conditions (zones and so on) of circulation in Russia and the EAEU as a combinatorially expandable space. Identifying overt and latent characteristics of typical or atypical fluctuations of Russian monetary-financial markets dynamics is considered as the basis for preparation and execution of subsequent effective operational stabilization measures by subdivisions of corresponding Russian (in the long term — Eurasian-allied) federal agencies, commercial banks and others. It is expected to expand and deepen network situational analysis space in the financial sector to develop the system protective measures against speculative attacks, as well as against sanctions or other discriminatory actions of foreign structures.