DOI: 10.33917/es-7.173.2020.5

DOI: 10.33917/es-6.172.2020.5

DOI: 10.33917/es-6.172.2020.6-19

In April 2020, Russia entered a structural social and financial-economic crisis caused by the coronavirus pandemic and catastrophic decline of oil and gas exports. Assessing the current socio-economic situation in the country, the author concludes that, in contrast to the crisis of 2009, which was mainly financial and economic in nature, the 2020 crisis for the most part has got a social character, when indicators of the people’s well-being are declining particularly. According to the author, only return to planning would ensure implementation of an integrated financial plan, an investment program for the whole country, directive indicators of enterprises and organizations controlled by the state, as well as would impact public-private partnership.

DOI: 10.33917/es-6.172.2020.20-31

The purpose of the study is to generalize the conditions that provoke the economic recession of 2020, taking into account the analysis of the pre-crisis dynamics of the Russian economy according to the parameters characterizing its innovative and technological development. The method of studying the relationships between the relevant development parameters is econometric modeling and regression analysis, which allow to identify the specific characteristics of the crisis in the innovative and technological development of the Russian economy. The analysis of the pre-crisis pattern of the movement of labor resources distracted from old industries in favor of new activities, and created specifically for new types of production. The sensitivity of the level of manufacturability to investments in old and new technologies, the influence of innovative agents on the economic dynamics in Russia are determined. The result of the study is the quantitative estimates obtained, which for the Russian economy, in comparison, for example, with other countries confirm the folding of the innovation process in its systemic dimension. Therefore, the diagnosis of the state of this sphere gives a conclusion about its crisis state. The decrease in the rate of economic growth in Russia was accompanied by a decrease in the number of innovative agents, the diversion of resources from old industries decreased, as did the creation of a new labor resource for new industries.

DOI: 10.33917/es-6.172.2020.32-37

Changing of a conjuncture index of “Economic strategy” (CIES) for the first half of 2020 is considered. The contribution of indicators of supply and demand in CIES is estimated. The analysis of industrial production is carried out.

DOI: 10.33917/es-6.172.2020.38-45

Pension provision of disabled citizens is one of the basic functions of a modern welfare state, which should be based, on the one hand, on constitutional and legal norms, and on the other — on real organizational and administrative mechanisms and should have resources and economic support.

The study analyzes economic mechanism and peculiarities of forming the pension rights of insured persons in various employment conditions, taking into account the presence in the compulsory pension insurance system of both pay-as-you-go and funded components.

Following the study, a set of measures was developed for state regulation of macroeconomic and institutional factors in order to increase the efficiency of establishing the insurance pension rights in the pension system in the context of demographic aging of the population.

DOI: 10.33917/es-6.172.2020.46-57

World achievements in the field of neuroscience have provided previously inaccessible opportunities for creating fundamentally new control systems based on neurointerfaces (brain — computer — brain). Hybridization of environments — gradual blurring of the boundaries between physical, cognitive and digital realities — is taking place. Descriptions of social and cognitive practices of real people are transformed into forming an artificial electronic subject, which becomes more real, replacing a biological object in society (a person is how he is represented in the electronic information environment). At the same time, development of the neurointerface perspectively leads to conversion of nervous tissue and changes biological substrate of the human brain and body in the vector of convergent collaboration of living and artificial nervous systems. Our American competing partners (the US Department of Defence represented by DARPA) carry out multidisciplinary comprehensive research in this area, leading in real results, the US leadership is increasing government funding. A qualitative change in technologies for managing people, society and the state is taking place. Russia’s objective in these conditions is to form its own segment of Neuronet, relying on domestic neurotechnologies, by analogy with the policy of import substitution in Russian nuclear energy.

DOI: 10.33917/es-6.172.2020.58-67

The article considers the classification of Artificial Intelligence (AI) systems. The role of AI has increased significantly recently in all areas of life. The use of AI in public administration, in production, in medicine, in the military, in the social sphere, etc., raised a number of questions related to the definition of AI and classification of AI systems. Classification of AI is necessary to understand the role of AI in the digital economy. Classification becomes important in the context of intensive development of international standards for AI systems and knowledge-based systems (expert, neural, multi-agent, cyber-physical systems and systems based on the industrial Internet)

DOI: 10.33917/es-6.172.2020.68-77

Microorganisms and cultivated cells from human or animal tissues form complex network structures (colonies, biofilms, flocs, granules, etc.) that are characterized by efficient communication and behavior coordination in the absence of a central pacemaker. The decentralized (flat) network organization of such structures is due to the functioning of (a) information-transmitting intercellular contacts, (b) a signal field created by distant communication systems, including the quorum-sensing system; and (c) a biopolymer matrix that cements the cells of the whole network structure. Microbial network structures exist in the human organism, especially in the gastro-intestinal (GI) tract. The cellular networks engage in complex interaction with the host organism. The organism represents a complex combination of hierarchical structures and decentralized networks and includes the brain, the peripheral nervous system, the immune system, and the endocrine system.

The interaction between the microbiota and the host may produce both positive and negative effects on the host’s physical and mental health, because decentralized networks are known to possess not only useful but also potentially harmful properties. Communication between microbial cells and the host organism involves neurochemicals, i.e., chemical compounds, whose functions include impulse transmission between nervous cells. In the final section, the cellular paradigm of network organization is envisaged as the conceptual basis of organizational technology aimed at creating efficient non-hierarchical creative teams that are cemented by common values and goals (the network matrix).

DOI: 10.33917/es-6.172.2020.78-85

For several years, there has been a considerable interest in the development of regions and their contribution to the national economy, both in Russia and in foreign countries. The regions are characterized by uneven economic development and the amount of taxes and fees going to the Federal budget. Moreover, in Russia, this unevenness in regional development is particularly strong, which is facilitated by tax policy that affects the reduction of regional tax independence and does not encourage the regions to develop their income base. The task of achieving a balance between donor and recipient regions, reducing the number of subsidized regions, and creating incentives to increase their incomes and economic growth is one of the most actual problems of Russian economic policy.