DOI: 10.33917/es-5.191.2023.5

DOI: 10.33917/es-4.190.2023.5

DOI: 10.33917/es-3.189.2023.5

DOI: 10.33917/es-2.188.2023.5

DOI: 10.33917/es-1.187.2023.56-69

In the circumstances of sanctions-related economic and scientific-technical blockade, the need to build digital mechanisms for managing import substitution processes on the basis of planning and coordinating competencies, similar to the competencies that the USSR State Committee for Science and Technology had, has sharply actualized. It is proposed to use intelligent digital platforms to control the development of science and technology based on the principles of the Soviet information network OGAS and EGSVC projects. The authors of the article substantiate necessity to apply digital information and communication technologies and computing services at various levels of management for innovative agents of any form of ownership through creating and configurating multilayer information-management fields.

References:

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4. Grabchak E.P., Loginov E.L., Chinaliev V.U., Epishkin I.I. Upravlenie razvitiem slozhnykh nauchno-tekhnicheskikh kompleksov na osnove intellektual’nykh tsifrovykh platform (realizatsiya kompetentsii Goskomiteta SSSR po nauke i tekhnike v usloviyakh tsifrovoi ekonomiki) [Managing the Development of Complex Scientific-technical Systems Based on Intelligent Digital Platforms (Implementation of the Competencies of the USSR State Committee for Science and Technology in Conditions of Digital Economy)]. Moscow, INES, 2023, 504 p.

5. Chinaliev V.U. Razvitie politiki importozameshcheniya v promyshlennosti Rossii [Developing Import Substitution Policy in the Russian industry]. Upravlenie slozhnymi organizatsionnymi i tekhnicheskimi sistemami v usloviyakh sverkhkriticheskikh situatsii: Materialy mezhdunarodnoi nauchno-prakticheskoi konferentsii. Moskva, MNIIPU, 21–22 aprelya 2022 g. [Management of Complex Organizational and Technical Systems in Conditions of Supercritical Situations: Proceedings of the International Scientific and Practical Conference. Moscow, MNIIPU, April 21–22, 2022]. Moscow, MNIIPU, 2022.S. 50–53.

DOI: 10.33917/es-1.187.2023.16-25

Forecasting the ruble exchange dynamics appears objectively necessary for shaping both the medium-term financial strategy of industry corporations and the general strategic course for occupying leading positions in sectors of business interest, including through the use of new financial instruments, new markets and, in general, a system of strategic planning of socio-economic development of Russia. However, in today’s realities, according to most experts, with whom we cannot but agree, the task of forecasting seems extremely difficult and appears complicated by the fact that the launched crises are unpredictable and are characterized by a diverse nature (pandemic and geopolitical crises, expansion of trade wars and sanctions). In such conditions, when uncertainty grows excessively, it is important to turn to the accumulated experience: to analyze to what extent the available models can be suitable for prospective assessments in the current environment.

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DOI: https://doi.org/10.33917/es-6.186.2022.16-25

Forecasting the ruble exchange dynamics appears objectively necessary for shaping both the medium-term financial strategy of industry corporations and the general strategic course for occupying leading positions in sectors of business interest, including through the use of new financial instruments, new markets and, in general, a system of strategic planning of socio-economic development of Russia. However, in today’s realities, according to most experts, with whom we cannot but agree, the task of forecasting seems extremely difficult and appears complicated by the fact that the launched crises are unpredictable and are characterized by a diverse nature (pandemic and geopolitical crises, expansion of trade wars and sanctions). In such conditions, when uncertainty grows excessively, it is important to turn to the accumulated experience: to analyze to what extent the available models can be suitable for prospective assessments in the current environment.

References:

1. Kuranov G.O. Metodicheskie voprosy kratkosrochnoi otsenki i prognoza makroekonomicheskikh pokazatelei [Methodological Issues of Short-Term Assessment and Forecast of Macroeconomic Indicators]. Voprosy statistiki, 2018, no 25(2), pp. 3–24.

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DOI: https://doi.org/10.33917/es-6.186.2022.4-5

DOI: https://doi.org/10.33917/es-5.185.2022.42-51

Neurodigital technologies qualitatively and quantitatively expand the possibilities of human behavior control, creating conditions for ensuring a targeted cognitive-psychological state of both an individual and groups within a neurocommunity. One of the key vectors for applying such new management opportunities is imprinting on a person of a positive perception of the surrounding reality, which contributes to maintaining socio-political stability in the state and society and also increases the efficiency of individual employees and their teams. Identification of psychosemantic qualities of a person based on analysis of his interests and preferences allows to form and imprint a cognitive-reflexive model of identification and interpretation of what is happening, adapted to a particular person, which serves as a source of actions for person and groups of his like-minded people and provides stability of the society, which is gradually acquiring the features of a neurocommunity.

References:

1. Vannevar Bush. As We May Think. The Atlantic, available at: https://www.theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/?single_page=true.

2. Ageev A.I. Golovokruzhenie intellekta [Intelligence Dizziness]. Ekonomicheskie strategii, 2019, no 5 (163), p. 5, available at: DOI: https://doi.org/10.33917/es-5.163.2019.5.

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5. Loginov E.L. Ispol’zovanie tekhnologii BIG DATA dlya protivodeistviya massovym besporyadkam v usloviyakh nedostatka informatsii i neopredelennosti razvitiya situatsii [Using BIG DATA Technologies to Counter Riots in the Face of Lack of Information and Uncertainty of the Situation Development]. Iskusstvennyi intellekt (bol’shie dannye) na sluzhbe politsii: Sb. statei mezhdunarodnoi nauchno-prakticheskoi konferentsii [Artificial Intelligence (Big Data) in the Police Service: Collection of Articles of the International Scientific-practical Conference]. Moscow, Akademiya upravleniya MVD Rossii, 2020, pp. 145–150.

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DOI: https://doi.org/10.33917/es-5.185.2022.5