Introduction. Digital transformation has become one of the key directions in the development of higher education, setting new requirements for the organization of research, teaching and innovation activities in universities. Experience with national projects and development programmes shows that the expansion of digital infrastructure by itself does not automatically lead to the renewal of universities’ institutional mechanisms. This highlights the need for conceptual models that make it possible to analyze digital change at the level of the university as an integrated institution rather than as a set of isolated technological initiatives.

The purpose of the study is to conceptualize the digital transformation of the university as a process which, in the logic of a scientific-educational corporation, links together research, educational and innovation-entrepreneurial domains and thereby reshapes the configuration of the university as a socio-economic institution.

Theoretical background and methods. The study draws on institutional and systems approaches to the university, which frame it as a set of interconnected subsystems of research, education and innovation-entrepreneurial activity. The key analytical lens is the model of the university as a scientific-educational corporation, in which the processes of knowledge generation, competence formation and market-oriented innovation are treated as a single, interrelated development contour. Methodologically, the article represents a theoretical study and includes an analysis of policy documents and analytical reports on the digital development of universities, as well as conceptual modelling of digital changes in the three subsystems of the university and of the mechanisms of their institutional integration.

Results. The study shows that the development of digital research infrastructures and data-intensive practices may lead to a reconfiguration of research regimes and to stronger network embeddedness of university research teams. It clarifies how a digitally enabled learning environment, when integrated into university governance, can serve as an instrument for constructing individual learning trajectories and for involving students in research and project formats. In the domain of market-oriented innovation, digital platforms for project management and interaction with external partners are considered as a means of embedding entrepreneurial activity into the overall university framework. Taken together, these elements are interpreted as characteristics of a mechanism for the institutional integration of the three subsystems and for the formation of a coherent model of the university as a scientific educational corporation.

Conclusions. The article argues that the digital transformation of the university should be understood as a long-term process of institutional design rather than as a set of technical solutions. The proposed conceptual model can serve as a basis for assessing the extent to which universities’ digital initiatives contribute to the alignment of research, educational and innovation-entrepreneurial activities and to strengthening their position within the digital economy.

Introduction. In contemporary conditions, procurement activities require not only compliance with established procedures, but also the development of an integrated control strategy at all stages of the procurement cycle. The growth of legal, financial, and reputational risks makes insufficient an approach in which control is limited solely to reviewing documentation and assessing the legality of supplier selection. Consulting recommendations acquire particular importance, as they make it possible to combine legislative requirements, the managerial objectives of an organization, and risk-oriented control mechanisms. In this context, procurement control is viewed as an element of the system for managing efficiency, quality, and the legal sustainability of procurement activities.

The purpose of the study is to determine the significance of consulting recommendations for the formation of a procurement control strategy, as well as to identify the conditions under which such recommendations become an effective instrument for preventing violations, improving procurement efficiency, and enhancing internal management.

The methodological framework of the study includes formal legal, systemic, comparative legal, and functional methods. The research is based on the analysis of regulatory legal acts governing public and corporate procurement, including Federal Laws No. 44-FZ, No. 223-FZ and No. 248-FZ, as well as the provisions of legislation on the protection of competition and administrative liability.

Results. It has been established that consulting recommendations are most effective when they are aimed not at a formal enumeration of violations, but at designing a system of control points throughout the entire procurement life cycle. The article presents a critique of the mechanical borrowing of external recommendations without their legal adaptation to the regimes of Federal Laws No. 44-FZ and No. 223-FZ, as well as of an approach that limits control to the supplier selection stage. The necessity of a risk-oriented and preventive control model is substantiated, including the verification of needs planning, justification of the initial price, assessment of supplier reliability, acceptance of results, monitoring of contract performance, and analysis of repeat procurements. It is additionally shown that an effective control strategy presupposes the allocation of responsibility among departments, the recording of control actions in the digital environment, and the use of indicators that make it possible to assess not only savings, but also the quality of procurement outcomes. It is shown that the digitalization of procurement produces a positive effect only if business processes are standardized in advance, responsibility is distributed, compliance tools are introduced, and measurable performance indicators are established.

Conclusions. It is concluded that consulting recommendations acquire real value only when they become part of the internal procurement control strategy, ensuring the transformation of legislative requirements, scholarly approaches, and the customer’s practical experience into a unified, functioning, and prevention-oriented control system.

Introduction. Project management in companies operating on the Russian market in 2025–2026 is carried out amid a rapidly increasing complexity of the regulatory environment. The tightening of advertising legislation, the introduction of turnover-based fines for violations in the field of personal data, and the expansion of the Federal Antimonopoly Service's powers in the area of digital market control create fundamentally new challenges for the project activities of commercial organizations. The relevance of the study is driven by the need for systemic tools that enable the integration of compliance procedures into the project life cycle.

Purpose. To develop a model for integrating risk management and compliance procedures into the management system of commercial and marketing projects of companies operating under increasing regulatory pressure on the Russian market.

Methods. The methodological basis of the study comprised methods of systematic analysis of academic literature, comparative analysis of domestic and foreign approaches to project risk mitigation, as well as content analysis of regulatory legal acts of the Russian Federation in the areas of advertising regulation, competition protection, and personal data processing.

Results. The analysis of the evolution of risk management approaches in project activities made it possible to identify a natural transition from fragmented response to violations toward the systemic embedding of compliance procedures into the project life cycle. A new type of project risk has been identified – regulatory-compliance risks, generated by the simultaneous tightening of requirements in the areas of advertising legislation, antimonopoly regulation, and personal data protection. An original model has been presented that combines three regulatory control circuits (advertising, antimonopoly, and personal data) into a unified project risk mitigation system.

Conclusions. The article demonstrates the necessity of transitioning from a fragmented to a systemic approach in managing regulatory risks of projects. The practical significance is determined by the possibility of using the proposed model by project managers and marketing departments in developing internal compliance policies and assessing risks at the stages of project initiation, planning, and implementation.

Introduction. The article addresses the development of a stimulation model for government officials to foster interregional cooperation. The research problem lies in the absence of effective motivation tools for officials, often leading to imitative cooperation and declarative agreements without real implementation.

The purpose of the study is to create a sustainable motivation system for the heads of municipalities and relevant ministries (using the example of the Moscow Region) to participate in real, effective interregional projects with neighboring regions of the Russian Federation.

Materials and methods. The information base of the work was made up of theoretical works by foreign and domestic scientists, regulatory legal acts, as well as data from digital platforms ("Public Services. Management", EIS GZ, Rosstat, investment platforms, registers of agreements). The object of the study was the management system of interregional cooperation in the Moscow region. The work uses an integrated approach, including: theoretical analysis of scientific concepts to substantiate the components of the model (agent theory, theory of social comparison, theory of self-determination); modeling of an incentive system that combines financial, reputational and institutional levers; digital data integration to automate the collection of indicators; sociological methods in the framework of rating formation; systematic analysis of institutional conditions and predictive performance indicators of the model implementation.

Results and conclusions. A five-component model is proposed: direct KPIs for interaction, a digital passport of cooperation, an interregional grant fund, a rating of municipal activity and a school of management. The results show the possibility of an increase in implemented projects from 5-7 to 25 or more in three years and an increase in extra-budgetary funds to 2 billion rubles. The novelty lies in the shift in focus from "interaction" to measurable economic results and the use of internal regional mechanisms (budget, career) to stimulate external cooperation. The practical significance lies in overcoming budgetary selfishness, institutionalizing "cooperative competition" and forming the competence of "inter-regional management" as a mandatory element of an official's qualification. The model transforms cooperation from an external responsibility into an internal strategic resource.

Introduction. The innovative activity of business entities is a catalyst for the growth, development and security of the national economy. Innovation activity is associated with continuous processes of generation, commercialization, practical application, promotion, maintenance, control; tools and mechanisms of management and regulation; areas and directions of application; organizational, economic, organizational, legal, technical and economic characteristics; the procedure for legal registration and the subject of legal relations. The work is aimed at studying the innovative activity of an enterprise, systematizing the structure of intellectual property objects and forms of legal support for the protection of industrial property in the interests of the development of innovative activities.

Purpose. Development of tools that allow for risk assessment in the field of innovation, as well as assessment of the possibility of reducing transaction costs for the protection of intellectual industrial property, achieving the goal of sustainable development of the enterprise.

Materials and methods. The assessment of risks and threats in the field of intellectual industrial property of Russian enterprises was carried out on the basis of generalized materials of judicial practice of dispute resolution. The detailing of the economic and legal space of industrial property allowed us to determine the significant influence of factors on the innovative activity of the enterprise. The author's method of assessing risks and threats in the field of industrial property is based on the analysis of indicators reflecting the security of the property interests of Russian enterprises. A conceptual scheme for obtaining and analyzing mathematical models used to assess risks and threats in the field of intellectual industrial property of an enterprise has been developed. The proposed algorithm makes it possible to systematically assess risks in the field of intellectual industrial property and formulate directions for optimizing the innovative activity of the enterprise.

Results and Conclusions. The results of the study showed that there are two risk-forming factors in the field of intellectual industrial property. Firstly, the protection of industrial designs belonging to the company. The relative values of the indicator fluctuate in the range of 0.464–0.562, which indicates a steady, and by the end of the period, a growing level of risk in this area. The natural values are in the range of ~608-737 thousand cases, which confirms the high conflict and importance of protecting industrial samples. Secondly, the protection of intellectual property rights belonging to the enterprise. The relative values of the indicator are higher (0.509–0.550), which indicates an increased overall vulnerability of the intellectual industrial property system. The natural values will rise sharply to 41-44 thousand cases, which may be due to increased law enforcement practice. The conclusions formulated based on the results of the study are significant for strengthening the organizational and legal mechanism of the company's functioning and can be used in the development of measures and measures for managing the company's innovation activities.

Introduction. The accounting and tax system of any economic entity currently uses various financial management and planning tools. At the same time, new trends and directions are becoming relevant, which allow not only to competently carry out economic activities, but also to be stable in the context of changing global and national economic conditions. Of particular importance is the introduction of digital technologies in business processes and in the internal control system associated with the current taxation system and the definition of a new format of tax relations with various categories of taxpayers, both in the tax monitoring mode and in the tax experiment mode in the form of ACS (automated simplified taxation system). The transformation of tax relations is due to the transformation of the entire public administration system and the digitalization of the public sector by 2030.

The purpose is to describe the general theoretical aspects of the functioning of the accounting and tax system in the economic activities of economic entities, characterize the positive experience of introducing digital technologies and present trends in the field of digitalization of business processes, including in the field of taxation and the formation of a new model for building tax relations in the context of automation of accounting procedures at macro and micro levels.

Methods. The authors relied on general scientific methods of cognition: analysis and synthesis, deduction and induction, theoretical and methodological approach, modern materials of scientific works on the presented topic, SberPro resources as a forward in the field of introducing digital technologies and AI in the field of business process management, as well as information and statistical bases of the Federal Tax Service of Russia and other authorities and management.

Results. Analysis showed that digital business process management allows you to more effectively control all accounting, tax and analytical information and documentation that reflects the organization's activities for a certain period of time. Of particular importance is the introduction of digital technologies in business processes and in the internal control system associated with the current taxation system and the definition of a new format of tax relations with various categories of taxpayers, both in the tax monitoring mode and in the tax experiment mode in the form of ACS (automated simplified taxation system).

Conclusions. Digital technologies in the near future will permeate all spheres of life of economic entities and authorities. The introduction of accounting and control tools will optimize the management of financial resources, both at the macro and micro levels.

Introduction. After 2022, the packages of restrictive measures against the Russian Federation took on a qualitatively different character: discrete sanctions actions gave way to the formation of a holistic, layered, and internally consistent system of coercion. At the current stage of economic confrontation, such an architecture requires not so much an inventory of specific prohibitions as an analysis of their structural coherence, mechanisms of mutual reinforcement, and cumulative effects. The relevance of a structural approach stems from the need to understand not only immediate restrictions but also long-term strategic challenges for the country's economic security and development model.

Purpose. To conduct a comprehensive analysis of sanctions pressure on the Russian Federation by identifying interconnections between its key components and assessing their evolution from 2014 to 2025, with the aim of revealing the distinctive features of the architecture of sanctions pressure on the Russian Federation.

Materials and methods. The methodological basis of the research was qualitative document analysis, aimed at structuring and systematizing the corpus of sanctions measures. Methods such as secondary data analysis, structural-functional analysis, and comparative analysis were used to process the data.

Results. The study conducted a comprehensive analysis of the architecture of sanctions pressure on the Russian Federation from 2014 to 2025. The structural analysis method makes it possible to decompose a unified regime of restrictions into key interrelated blocks: financial, trade-technological, energy, and personal. The focus is on measures introduced by the countries of the «core» of the Western coalition – the United States, the European Union, the United Kingdom, the Switzerland – whose decisions have an extraterritorial effect and form the framework of global restrictions.

Conclusions. The structural logic of Western sanctions (especially after 2022) is aimed not at a shortterm policy change, but at a long-term weakening of Russia's technological, financial and logistical independence. The answer to these challenges can only be a comprehensive import substitution strategy, restructuring of financial flows and deep integration with new trading partners, which requires a separate forecasting and management study.

Introduction. The modern banking sector operates in a highly competitive environment, with increasing lending volumes and risk management requirements. In this context, assessing borrowers' creditworthiness and minimizing the risk of loan default become crucial. The development of digital technologies and the increasing volume of data necessitates the improvement of analytical tools used in credit scoring. The traditional logistic regression model, with its high level of interpretability, competes with the "black boxes" of machine learning, which offer higher prediction accuracy. This creates an urgent scientific challenge of choosing the optimal methodology for assessing credit risk.

Purpose. The purpose of the study is to analyze the theoretical and methodological foundations of building scoring models based on logistic regression, as well as to identify the factors that affect the quality of credit risk assessment and the effectiveness of using these models in the banking sector.

Materials and methods. The study is based on the works of authors in the field of credit scoring, risk management, and machine learning. The study uses methods of comparative analysis, generalization, and systematization of scientific approaches to building scoring models. Logistic regression is considered as the main analysis tool for predicting the probability of loan default. Modern approaches based on machine learning algorithms are also taken into account.

Results. The study identified key stages in the development of scoring models, including data preparation, feature selection, and parameter estimation. It was found that logistic regression retains significant practical value due to its interpretability and compliance with regulatory requirements. The study also identified key limitations of logistic models, such as their sensitivity to data quality and limited ability to account for complex nonlinear relationships.

Conclusions. Scoring models are a key tool for managing credit risk in banking. Despite the development of more complex algorithms, logistic regression remains popular due to its transparency and reliable results. Improving the efficiency of scoring models requires a comprehensive approach to data quality, proper feature selection, and model adaptation to changing environmental conditions. The core of logistic regression is the maximum likelihood method. In econometrics, the maximum likelihood function is maximized, while in machine learning, the inverse loss function is minimized. A promising area is the combined use of logistic regression with more accurate methods.

Introduction. The Russian e-commerce market is undergoing a period of rapid transformation driven by the dominance of major digital trading platforms (marketplaces). The market volume reached 11.5 trillion rubles by the end of 2025; however, this dynamic growth is accompanied by a growing asymmetry of economic interests between sellers and platforms. This asymmetry gives rise to a set of threats to the economic security of small and medium-sized enterprises at both sectoral and regional levels.

Purpose. The objective is to investigate mechanisms for balancing economic interests between sellers and digital platforms within the context of economic security.

The methodological basis of the study comprised systematic analysis of academic literature, comparative analysis of regulatory acts of the Russian Federation and the European Union in the field of platform economy regulation, as well as content analysis of analytical reports from leading research organizations.

The theoretical foundation drew upon economic security concepts, platform market theory, and the institutional approach to digital economy regulation.

Results. A theoretical and methodological framework for digital commerce research has been developed, incorporating a system of technical and economic criteria for distinguishing phases of trade relations in the digital environment and an original periodization of digital economy development identifying three sequential phases. The essential nature of the transition from electronic to digital commerce has been substantiated. A pattern of transition from market self-regulation to the formation of institutional mechanisms for protecting the economic interests of platform economy participants has been identified. An original classification of economic security threats to e-commerce entities has been developed, differentiating challenges, dangers, and threats by their degree of impact on the economic interests of sellers and platforms. It has been demonstrated that the growth of marketplace commissions reaching 35–47% of revenue, discriminatory conditions for domestic entrepreneurs, and the lack of transparency in product ranking algorithms constitute a systemic threat to economic security.

Conclusions. The article argues that ensuring the economic security of e-commerce entities requires a transition from market self-regulation to institutional protection mechanisms, as reflected in the adoption of Federal Law No. 289-FZ. The practical significance lies in the potential application of the findings to the development of secondary legislation under this law and the improvement of the regulatory framework governing the platform economy.

Introduction. In modern Russia, the issue of increasing the effectiveness of interaction between the state and small and medium-sized enterprises seems relevant for a number of reasons. Firstly, the existing mechanisms of state support for small and medium-sized businesses need to be improved. Secondly, small businesses are not sufficiently involved in socio-economic transformations. Thirdly, the existing mechanisms of government-public interaction do not allow us to fully articulate the demands of business in relation to the state, as well as convey to entrepreneurs the expectations of the government.

Purpose. To evaluate the monitoring of the needs of small and medium-sized enterprises, implemented by the All-Russian Public Organization of Small and Medium-sized Businesses "New Formation", from the perspective of the effectiveness of tools for interaction between government and small businesses in the Russian Federation.

The methodological basis of the study was the concept of the relationship between monitoring and control, as well as methods of sociological survey (questionnaires, in-depth interviews), data analysis and interpretation, and quantitative content analysis. 

Results. The thesis on the relevance of monitoring the needs of small and medium-sized enterprises as a tool for identifying and articulating the interests and requirements of small and medium-sized businesses, communicating government objectives to businesses, and   involving small   businesses   in the socio-economic and political processes of modern Russia is argued. Monitoring needs by interviewing 850 representatives of small and medium-sized enterprises in 15 regions of the Russian Federation with different levels of socio-economic development, as well as 25 in-depth interviews with business representatives, allowed us to draw meaningful conclusions regarding the prioritization of government support measures and tools by regional businesses. On the one hand, a significant differentiation of respondents' opinions was revealed in the following areas: assessment of the level of accessibility of government support measures for   small   and medium-sized   enterprises;   the effectiveness of the implementation of the tools of the Corporation of Small and Medium-sized Enterprises and the digital platform of small and medium-sized enterprises as tools of state support and business development; the importance of government incentives for the development of mechanisms of interaction within the business sector. On the other hand, estimates for the following parameters were found to be approximately similar for all regions: high demand for priority financial support measures for small and mediumsized enterprises; the need to improve tax regulation of small and medium-sized businesses at the federal and regional levels, regardless of the region; the importance of intensifying the participation of small and medium-sized businesses in socio-economic and political processes; the average level of need for small and medium-sized businesses in government and/or business community support measures to scale their business.

Conclusions. The article argues that monitoring the needs of small and medium-sized enterprises is an effective tool for government-small business cooperation in articulating the interests of small and medium-sized businesses, communicating government expectations to businesses, and involving small businesses in the processes of socio-economic and political development of the Russian Federation. It is proved that the differentiation of the needs of small businesses by region is partly explained by the different levels of their awareness of existing tools, partly by the formality of some tools.

Introduction. The energy sector is a fundamental basis for the economic development and social stability of any country. For Russia, which has significant energy resources, and China, which is the world leader in energy consumption, ensuring the sustainable development of the energy sector is a strategic task for national security. The current state of the energy sector in both countries is characterized by a combination of unique opportunities and systemic challenges. In Russia, the key challenges remain the high level of depreciation of fixed assets, the need for large-scale modernization, and the growing domestic demand. China, which has achieved impressive results in the development of renewable energy sources, faces the challenge of integrating vast new capacities into its energy system and promoting domestic consumption of green energy. In the context of the global transformation of energy markets and the climate agenda, bilateral cooperation between Russia and China is becoming increasingly important, going beyond simple energy trade and becoming a tool for joint technological development and strengthening energy security. Purpose. To provide a comprehensive assessment of the state and prospects for the development of the energy sectors in Russia and China, as well as to identify key areas, potential, and possible barriers to their bilateral strategic cooperation in the energy sector.

Materials and methods. The study used the following methods: analysis of statistical data and official reports, comparative analysis, a systematic approach, and analysis of strategic planning documents: assessment of long-term goals and programs, such as the Russian Energy Strategy until 2050 and China's five-year energy development plans.

Results. 1. Assessment of the state of the industries: Russia has a high level of physical deterioration of equipment in generation (up to 65%) and networks. The need for modernization and new capacities by 2042 is estimated at 88.5 GW, with coal-fired generation dominating the plans (116 units). Unprecedented growth in solar industry has been achieved in China (more than 1 thousand GW) and wind (540 GW) energy, which provided technological leadership and reduced equipment costs. However, dependence on coal remains and modernization of networks is required. 2. Analysis of cooperation: Three stable vectors of bilateral interaction have been identified: Commodity (gas, oil, coal): Russia has become the main supplier of oil and one of the key suppliers of gas to China. The Power of Siberia project and the planned Power of Siberia 2 project form a stable infrastructure base; Technological (nuclear energy): Russian technologies and experience in the construction of nuclear power plants (Tianwan, Xudapu) are critical for the implementation of China's nuclear power generation development programs. Potential (Renewable Energy and New Technologies): There is a significant untapped potential for joint projects in solar and wind energy generation in Russia, utilizing Chinese equipment and investments, as well as in hydrogen energy and energy storage systems.

Conclusions. The energy complexes of Russia and China are at different stages of development, but Russia has large-scale resources and needs to be modernized, while China has advanced technologies and finances and needs stable supplies. 1. Strategic bilateral cooperation in the energy sector has already moved from simple trade to deep infrastructure and technological integration (gas pipelines, nuclear power plants). This creates a stable interdependence that enhances the energy security of both countries. 2. The most promising areas for further development of cooperation are: Joint projects in the field of renewable energy sources in Russia; Cooperation in the field of modernization and digital transformation of distribution networks; Joint research and projects in the field of new technologies (hydrogen, energy storage, and smart grid).

Introduction. The article is devoted to the problem of the transformation of the elite-forming process in modern Russia in the context of the transition from the model of socio-political transit to the strategy of state-civilizational sovereignty. Based on the theoretical provisions developed within the framework of the civilizational approach to the analysis of elites, as well as on the empirical data that fix the gap between the doctrinal request and the actual state of the ruling groups, the authors propose a conceptual model of the institutionalization of civilizational selection. The paper substantiates the system of operational indicators of the civilizational viability of the elites, describes the procedural logic of their application, and analyzes the key risks of implementing the proposed approach.

The purpose of this study is to develop a conceptual model for the institutionalization of civilizational elite selection in modern Russia, which ensures a transition from a doctrinal request for civilizational sovereignty to operational mechanisms for selecting, evaluating, and reproducing political elites, as well as to identify key risks and conditions for the effective implementation of this approach.

Methodological framework. The study is based on a civilizational approach and the principle of subjectivity, in which the elite-forming process is viewed as determined by the historical and cultural matrix of society, and the key importance is given to the personal and value characteristics of the ruling groups. The study uses methods of theoretical analysis, comparative study of foreign practices (China, Iran, and Turkey), and processing of empirical data from an expert survey conducted in 2024.

Results. The study revealed a significant gap between the doctrinal request for Russia's civilizational sovereignty and the actual state of the political elites (only 10% of experts gave a positive assessment). A system of seven operational indicators for the civilizational viability of the elites was developed, along with a three-tier selection process that includes filtering, diagnostics, and peer review. A comparative analysis of China, Iran, and Turkey's experiences demonstrated that civilizational selection is effective only when there is a balance between the value identification and professional competence of the elites.

Conclusions. The article proves that the civilizational selection of elites requires operational indicators and institutionalization while maintaining a balance with professionalism.

Introduction. The fishery complex of the Russian Federation plays a vital role in ensuring the country's food independence, reproducing aquatic bioresources, and maintaining the population's standard of living. The industry has a multiplying effect, influencing shipbuilding, food industry, transport, and trade. The complex is of particular importance for coastal territories, where its enterprises often serve as cityforming entities and shape social policy. The case of the Kamchatka Krai, with its unique resources, demonstrates the need for effective state policy.

The purpose of this work is to analyze the evolution of the industry's management system, identify the key factors of its effectiveness, and determine directions for improving state policy.

Materials and Methods. The research is based on the analysis of legal and regulatory acts (Federal Law No. 166-FZ, the state program for the development of the fishery complex), statistical data from Rosstat, industry reports, and scientific publications. The study employs historical-logical and comparative methods, as well as the systematization of expert assessments.

Results. The transformation of the management system is divided into distinct stages: the Soviet period (centralization, the basin-based principle, a "gross output" strategy), the post-Soviet crisis period (liquidation of the ministry, multiple reforms, distributive and auction-based approaches), the period of consolidating the "historical principle" (2004–2015), and the current stage, marked by the introduction of investment quotas. It is shown that the long-term allocation of quotas created conditions for investment, but by 2015, a lack of incentives for fleet renewal and onshore processing became apparent. It was established that despite an increase in catch (4.7 million tons in 2025) and a rise in the share of value-added processing (from 15% to 34% between 2017 and 2024), significant problems persist: declining profitability (profits fell by 21% in 2024), growing accounts payable (exceeding 1 trillion rubles in 2025), a high degree of fleet depreciation, and the raw-material orientation of exports.

Conclusions. An effective management model must combine the stability of the "historical principle" with flexible investment mechanisms. Promising directions include linking quotas to investment obligations, providing tax incentives for value-added processing, increasing the availability of credit secured by quotas, digitalizing the industry, and removing infrastructural constraints. The case of the Kamchatka Krai confirms the need for a synthesis of federal guarantees and regional support mechanisms.

Introduction. This article examines the problems affecting the Telegram messenger. Following the start of Special military operation of Russia and the demise and blocking of foreign messengers, Telegram experienced rapid growth in subscribers, traffic, and monetization. However, Federal Law No. 41-FZ of June 1, 2025, limited the messenger's capabilities. The platform's problems arose after repeated requests from government agencies to the messenger's owners and administration to remove or restrict access to content that violated Russian law.

Purpose. To determine the relevance of the Telegram messenger's problems, the author analyzed scientific statistical studies by foreign authors on two issues: cyberfraud and the publication of false information. The analyzed studies were published in foreign scientific journals in 2025, with further research to begin no later than 2021. The University of Chicago's cybercrime analysis focuses on topics such as credential theft, pirated software, dark media, social media management resources without user consent, and hacking software. An analysis of inaccurate content was conducted by a team from Sapienza University in Rome to assess the monetization of QAnon and COVID-19 conspiracy theories.

Materials and methods. The methodological basis of the research was conceptual analysis and discourse analysis. To determine the relevance of the problems of the Telegram messenger, scientific statistical studies by foreign authors devoted to two problems were analyzed: cyberbullying and the publication of false information. The analyzed studies will be published in foreign scientific publications in 2025, and the start of research will be no later than 2021. The cybercrime analysis by the University of Chicago group focuses on such topics as: theft of user credentials, pirated software, dark media, social media management resources without user consent, and hacker software. The analysis of the unreliable content was carried out by the Sapienza University of Rome group to assess the monetization of the "conspiracy theories" QAnon and COVID–19.

Results. An analysis of repost chains and information flows led international researchers to certain conclusions. The author of the article discusses these findings. The cybercrime analysis was conducted on open profile channels, which effectively analyzes user loyalty to content, not user activity within the segment. The analysis of inaccurate content was conducted only for conspiracy theories, which does not cover all forms of inaccuracy. The second part of the article analyzes statistical data from Russian-language channels that shape the news agenda or attempt to control it. The analysis is based on official TG Stat and maxstat results.

Conclusions. The political agenda is not a sought-after leader in media consumption. Ordinary users are attracted to topics that are not directly related to political issues. The attractive design of the messenger causes a high level of engagement. Hence the recommendations for the state messenger "Max": focus on topics and content that are in demand in society, work on the interface (UX/UI design).

Introduction. In the context of widespread digitalization and the rapid development of artificial intelligence (AI), a fundamental transformation of the processes of socialization of the younger generation is taking place. AI is no longer just a tool, actively influencing the formation of the worldview, value system and behavioral patterns of young people. This article is devoted to the analysis of how algorithmic systems act as implicit architects of the axiological landscape, creating new challenges for traditional educational institutions.

The purpose of the study is to identify specific mechanisms of artificial intelligence's influence on the value matrix of modern youth and to substantiate adapted strategies of the educational system to mitigate potential risks and maximize the use of its developing potential.

Materials and methods. The methodological basis of the research is a comparative analysis of Russian and foreign literature on the philosophy of education, the sociology of youth and the ethics of AI, as well as an interdisciplinary approach that includes elements of axiological, risk-based and systemic analysis. The research was conducted using methods of theoretical modeling of algorithmic socialization processes and forecasting the transformation of the educational paradigm.

Results. The article shows that AI actively forms "echo chambers" and "information bubbles", narrowing the value horizon of young people and influencing the choice of ideological orientations. The author's criticism of the passive position of education is presented, which often does not have time to adapt to new realities, yielding to algorithms in the formation of value attitudes. Arguments are made in defense of the need to develop "algorithmic literacy" and critical thinking as key competencies in the era of digital dominance. The author's vision of the problem of deconstruction of authorities and the erosion of the value of objective truth under the influence of generative AI is shown.

Conclusions. The article proves that the education system should transform from a knowledge relay into an active navigator and axiological filter that can help young people maintain subjectivity, critically evaluate information and build a stable system of human values in an environment where AI becomes one of the main architects of their worldview. The necessity of forming a new pedagogical paradigm focused on the development of empathy, creativity and ethical responsibility is emphasized.

Introduction. This article analyzes the transformation of regional political elite recruitment principles in contemporary Russia. The relevance of this study stems from the following key factors: the regular turnover of senior regional administrators following the replacement of heads of constituent entities of the Russian Federation, changing demands on elites during a major military operation, the transition of Russian political elites to a new value-based and target-oriented phase (the patriotic elite), and the need to attract individuals with relevant managerial competencies to state and municipal service. Using the example of the Rostov region, where a de facto change of governor took place in 2024-2025, both traditional and innovative channels of elite recruitment are examined.

The purpose of the study is to identify the advantages and risks of currently used technologies for selecting personnel for senior state and municipal positions in the constituent entities of the Russian Federation.

Methods. The theoretical basis is an understanding of elite recruitment as a process of identifying, selecting, promoting, and securing individuals with the necessary qualities in positions of power. Institutional analysis, comparative methods, and a structural-functional approach are used.

Results and conclusions. It was found that, alongside traditional channels (civil service, party careers, business, law enforcement agencies, scientific and educational environments, and family and clan connections), educational recruiting technologies have been actively implemented in the last decade. At the federal level, this is the "Time of Heroes" project, and at the regional level, its equivalent, "Heroes of the Don" (Rostov Oblast). The "Heroes of the Don" program offers a year-long professional retraining program for SVO participants, followed by mentoring and a mandatory internship. The selection process involved over 10 applicants per spot, and 65 finalists began their training. The program includes modules on public policy, economics, regional and municipal governance, modern management technologies, and fostering a worldview based on core values: family, patriotism, and a healthy lifestyle. The "Heroes of the Don" project should be recognized as appropriate for the current socio-political situation. Its advantages include: creating an alternative social mobility for combat veterans, updating the elite's value profile, reducing corruption and clannishness, strengthening ties between the army and society, and providing political legitimacy to power. Risks include a lack of mental fitness for the new conditions, conflict with the established management culture, and a shortage of relevant competencies. The program's mechanisms already incorporate tools to minimize these risks: a multi-stage selection process, the participation of a qualified public council, mentoring, and internships. Final conclusions on the program's effectiveness will be available after graduates are employed (August 2026). Further research should focus on monitoring career trajectories and comparing the effectiveness of program graduates with traditional civil servants.

Modern state of societal development, being guided mainly by universal "democratic" principles and the leading role of political elites, contradicts the cultural, historical, and geopolitical foundations of any state functioning. In the article "Civilizational Representation of the Elite-Forming Process in Doctrine and Political Practice," Professor A. M. Starostin, Professor A. V. Ponedelkov, and Associate Professor
E. N. Tovanchova offer an interesting vision on the elites role in a changing world order, which in some ways marks a return to national values, customs, and attitudes. This article is important in its conceptually new proposal to incorporate a civilizational component into understanding the actions of national elites. This study will be of interest to sociologists and political scientists, especially after a more detailed analysis of the civilizational factors influencing the elite decision-making.