The purpose. The article is devoted to the issues of improving the methodology of territorial planning in the context of high dynamics of the external environment and increasing political, economic, technological and other risks, which require increased attention to the assessment and growth of the adaptive potential of the region, as well as the flexibility of the implemented regional policy in the field of territorial planning and spatial development. The key modern challenges in the field of territorial planning have been identified, requiring a significant transformation of the methodology currently used.

Methods. To increase the flexibility of the territorial planning system, the authors propose to supplement the traditional methodological apparatus of territorial planning with methodological tools of systems theory. In particular, a model of proactive planning is proposed, based on a modified systematic approach and the combined use of evolutionary, reproductive and mobilization methodological approaches, which make it possible to apply a wide range of methodological tools from different scientific concepts in the field of territorial planning and spatial development of the region.

Results and conclusions. The combined use of the proactive planning model proposed by the authors together with the traditional planning model makes it possible to combine the stages of advanced development with the stages of standardization of achieved changes and resource redistribution, which should ensure the necessary flexibility and at the same time stability of the territorial planning system in the region in conditions of high environmental variability and taking into account modern challenges.

This article examines the concept of the state as a fundamental element within civic consciousness. The study aims to reconstruct the image of the state among university students in Tyumen, considering their specific civil-political orientations.

The research methodology employed questionnaire surveys of students from Tyumen universities (n = 222 and n = 394), conducted in April—May 2025. The study utilized free and directed association techniques, along with quantitative data analysis incorporating statistical methods (frequency analysis, correlation analysis, contingency table analysis, and one-way ANOVA).

Findings demonstrate that associations with the state are primarily structured around three dimensions: formal («Russia», «country»), managerial («government», «authorities»), and legitimist («order», «constitution»). Notable differences emerged based on ideological preferences: patriots and conservatives emphasize symbolic and historical dimensions, while liberals focus on legal aspects and criticism. Gender differences showed women more frequently associating the state with national identity, whereas men emphasized governance and critique. The students' perception of the state proves multifaceted, yet predominantly aligns with a statist-patriotic model. Variations in civic orientations suggest potential socio-political dividing lines. Effective youth policy should address demands for social justice and legal guarantees. Education about Russian statehood should transcend mere cultivation of loyal patriotism, instead fostering socially responsible critical engagement with state institutions — characteristic of truly active patriots.

The article considers the issues of implementation of the scientific and technological direction of the Strategy of spatial development of Russia. The existing scientific and theoretical foundations for studying the sphere of knowledge economy are compared with the objectives of the policy of ensuring technological sovereignty.

The characteristics of the main statistical indicators reflecting the processes of scientific and technological development in the regions of the Russian Federation are given. The issues of statistical observation and determination of indicators characterizing the effectiveness of state policy in the field of knowledge economy and innovative development are touched upon.

The distribution of federal districts by indicators of population, gross regional product and investment in fixed capital per capita is presented. Based on the existing distribution of economic activity across the territory of the Russian Federation, a comparison of federal districts is made by indicators of the number of organizations performing scientific research and development, the number of personnel engaged in scientific research and development, as well as researchers with academic degrees.

Particular attention is paid to the indicator of the level of innovative activity of organizations. Methodological problems of the analysis of its content are demonstrated. Based on the analysis of the ratio of internal current expenditure on scientific research and development and the population size, the subjects of the Russian Federation with the potential to ensure technology transfer and cooperation of regions with a low scientific and technological base are named.

Recommendations are given for improving the strategic planning system in accordance with the goals and objectives of scientific, technological and spatial development.

The article based on the analysis of regulatory documents and scientific sources examines the current situation in the field of organization of key settlements, identifies its shortcomings.

In order to enhance the positive impact of the key settlements system on the socio-economic development of regions and municipalities of the Russian Federation, clarifications of the current criteria for their selection, a number of new criteria, areas for improving the system for calculating the assessment results, including the use of points and weights of criteria, as well as the introduction of several levels of key settlements with different support measures on this basis are proposed. At the same time the governments of the Russian Federation regions acquire real levers of influence on the process of allocation of key settlements by establishing the weights of criteria (or the number of points for each of them) within the limits specified in the federal regulatory documents.

In addition, such areas of support as the creation of polycentric key settlements and assistance in moving there to the people of surrounding settlements are proposed.

The study aims to examine the managerial specificities of corporate digital learning platforms (CDLPs) within the broader context of organizational digital transformation. The research objectives include: assessing the mechanisms of platform governance, with particular emphasis on content maintenance and updating; analyzing the role of internal experts in platform development and utilization; identifying institutional and economic constraints; and conducting a comprehensive SWOT analysis. Methodologically, the study relies on a systematic review of the literature, content analysis, and the structuring of empirical observations. The results highlight the key managerial components that determine the functioning of CDLPs, provide a systematization of constraints limiting their effectiveness, and suggest managerial approaches for overcoming these limitations. The study concludes that CDLPs constitute a strategically significant instrument for human capital development and justifies the need for their integration into corporate knowledge management systems.

In the context of the digital transformation of the Russian economy, state-owned companies play a key role, guaranteeing stable development. However, traditional approaches to strategic management are increasingly insufficient to ensure the required adaptability and efficiency. This actualizes the need to introduce artificial intelligence (AI) technologies into the processes of strategic management of innovative development.

The purpose of the study is to identify the possibilities of AI as a tool for optimizing strategic management processes and stimulating innovative development in state-owned companies in Russia based on the strategy methodology of academician V. L. Kvint.

The object of research is the processes of strategic management of innovative development in state-owned companies, and the subject is the use of AI technologies to optimize management operations and increase the efficiency of innovation.

The results of the study show that the introduction of AI allows state-owned companies to solve the problems of infrastructure monitoring, risk forecasting and logistics optimization.

The novelty of the study lies in the justification of the importance of the role of AI as a strategic asset with the potential for a fundamental transformation of traditional management models and increasing the competitiveness of state-owned companies.

This article examines one of the important components of the strategic development of the coal chemical industry in the Kemerovo Region — Kuzbass: the development of a model of interaction between stakeholders with different goals. It is proposed to use the methodology of co-construction/cocurrence, where the relations of the parties are more complex compared to competition or cooperation.

The aim is development of a model of stakeholder interaction using the principles of coconstruction/cocurrency in strategizing the development of the coal chemical industry in the Kemerovo region — Kuzbass.

Methods. The study is based on the theory of strategy, the methodology of strategizing by Academician V. L. Kvint, the theory of competition and cooperation by A. Brandenburger, B. Nalebuff. A systemic-structural approach, logical general scientific methods of classification, induction, deduction, abstraction, and systematization is used.

Results. A model of interaction with stakeholders in strategizing the coal chemical industry of the Kemerovo Region — Kuzbass has been developed, which differs from known approaches by the use of principles and mechanisms of strategic co-construction/ cocurrence in conditions of competition in markets of different levels. Specific principles of strategic co-construction/ cocurrence have been proposed, including evidence, dynamism, and balance of interests, integration, openness, and compliance with economic security. Mechanisms of interaction between stakeholders have been defined.

Conclusions. The proposed model of interaction with stakeholders using the principles and mechanisms of strategic co-construction/cocurrence in the conditions of tough global and national competition will significantly increase the likelihood of successful implementation of the strategy for the creation and development of the coal chemical industry in the Kemerovo region — Kuzbass with access to the world level.

This paper addresses the challenge of navigating the rapidly evolving field of artificial intelligence (AI), using large language models as a representative example. It proposes a graph-based representation of the scientific community as an analytical tool for describing the structure of relationships between researchers and identifying research groups. The study also introduces an approach for detecting key figures and opinion leaders within the field. The underlying assumption is that analyzing the publications of such groups can help capture emerging trends in a timely manner and support informed decisions regarding the adoption and implementation of relevant technologies. Using this approach, a graph model was constructed based on open scientometric data: researchers are represented as nodes with additional attributes, while their relationships are encoded as edges. The influence of individual authors was quantified using PageRank centrality, and latent research groups were identified through the Louvain clustering algorithm. The results support the initial hypotheses: scholars with high PageRank scores are indeed recognized industry leaders, and the algorithm consistently identifies five clusters corresponding to real research and corporate structures. Overall, the proposed graph model can be considered a supporting tool for analytical characterization of the current AI research landscape and for monitoring emerging scientific trends.

The article presents an analysis of telegram channels as a new form of network media in the modern information space. An analysis of the history of the formation and transformation of the Telegram messenger from the moment of its creation to the present has been made. The authors pay attention to the study of the advantages and disadvantages of using telegram channels as alternative sources of information compared to traditional media. The development of digital technologies and rapid changes in the information environment have significantly influenced the methods of political and other communication in modern society. Classical media are gradually losing their exclusive right to identify important public topics, while Internet platforms and messaging applications are taking up an increasingly significant place. A particularly noticeable phenomenon in recent years has been the channels in the Telegram messenger, which, starting with the function of simple messaging, quickly turned into new information platforms that can significantly influence the opinion of society.

The relevance of the study is due to the fact that the channels in Telegram today perform not only an informational function, but also become a platform for political confrontation, a means of uniting people, substantiating ideas and influencing public opinion. In today's society, where information flows play a key role in the distribution of power, Telegram channels are a new center of influence that acts along with or even opposes the official media. At the same time, the peculiarities of the work of such channels — the unknown authors, the lack of editorial control and insufficient verification of information — pose risks to the stability of the information environment and reduce public confidence in the media.

The purpose of the study is to determine what political and sociological features telegram channels in Russia have, acting as an alternative platform for public dialogue.

Research objectives:

1. Analyze telegram channels through the prism of social theories of Jürgen Habermas, Manuel Castells, Henry Jenkins and Bruno Latour, using their key ideas to understand modern media platforms.
2. Explore how telegram channels are used in the political sphere and how they affect the opinions of people in society.
3. Using sociological research, determine how citizens perceive information from telegram channels and what role these channels play in shaping political views.
4. Identify the dual effects of the development of telegram channels: on the one hand, expanding access to information and freedom of expression, on the other — increasing opportunities for information manipulation.

The focus is on the socio-political aspects of the work of telegram channels: how they affect the creation of a new space for public discussions, change the balance of influence in society and transform the ways citizens participate in political life. The main hypothesis of the study is that telegram channels create new ways of public dialogue, making political discussions more accessible to ordinary citizens. However, simultaneously they can contribute to the division of society into isolated groups and increase opportunities for informational influence on public opinion.

The empirical base of the study was compiled by statistical materials and studies of other authors using the Anketolog.ru service and the native advertising platform Telega.in, as well as a sociological survey conducted by the authors on the topic of the study.

The research methodology consisted of content and statistical analysis, theoretical analysis and quantitative sociological method.

The study confirmed the assumption that the channels in Telegram create new forms of public communication. They make political discussions more understandable for ordinary people, but at the same time increase the likelihood of dividing the information space and possible manipulations. The survey revealed that most of the users use this platform every day and consider it an additional source of political news, which is trusted more than ordinary media. However, this trust has its limits: only a small part of the respondents unconditionally believes the published materials, while the majority prefers to check the information received. Telegram channels play a twofold role in modern society. On the positive side, they contribute to more active involvement of citizens in political processes and improve direct communication between people. However, on the negative side, they can increase distrust among the population and destroy the unity of the public information space.

The study suggests that telegram channels create new ways of public communication, making political discussions more accessible to citizens. At the same time, they simultaneously increase the likelihood of dividing society into isolated groups and increase the possibilities for deliberate distortion of information.

TIn the context of digital transformation and the data economy, there is an increasing use of artificial intelligence (AI) technologies to shape a person's public image. This article presents an interdisciplinary approach to solving this problem, combining digital footprint analysis methods and public communication tools. The authors justify the possibility of using modern AI technologies — large language models — to analyze the community audience in order to increase the brand awareness of a scientific laboratory. They demonstrate how the results of AI analysis can be integrated into PR campaigns and personalized communication strategies. The article proposes a methodology at the intersection of IT and PR disciplines, justified both theoretically and by practical case studies from the creative industries and public communications. The results of the study show that strategies developed using a large language model increase the brand awareness of scientific laboratories by 30–50 % on average, increasing the number of reactions, subscribers, and community views.

The global crisis of 2008–2009 put an end to the upward trend of globalization, while accelerating the transition to a multipolar world. The purpose of the article is to clarify and detail the current manifestations of the globalization crisis and to show its impact on the US foreign policy course and the transformation of the international order.

A convincing expression of the crisis under consideration was the rivalry between the United States and China, initiated by President Barack Obama in 2011 in 2018. It has escalated into an open trade war between the world's leading economies. Today, the United States continues to follow the same strategic course. In an attempt to outplay China, they are using new restraints against it, designed to stop its economic growth. At first glance, many of these actions are irrational. However, in fact, they hide the attempts of the Donald Trump administration to ease the burden of the 37 trillion national debt and its servicing, reduce the foreign trade deficit, and resume innovative economic growth. It is in this vein that the Americans should consider the reduction in funding for specialized agencies of the United Nations and other organizations, including NATO, as well as their incessant forceful attempts to weaken trade and economic ties between the participants in foreign economic activity with China and Russia. It is important to note that the US attempts to control dollar transactions based on geopolitical expediency actually accelerate the de-dollarization of the global economy and the “nationalization” of the dollar. This leads to the transformation of the United States into an ordinary state, albeit with all the hallmarks of a great power. In other words, deglobalization occurs not only in the economy, but also manifests itself at the political level. In fact, the United States is abandoning its support for a liberal rules-based order and is transforming into one of the most powerful centers of the multipolar world. Beijing and Moscow welcome these changes in American policy and declare their readiness to cooperate with Washington based on the principles of peaceful existence, mutual trust and respect, as well as mutually beneficial trade.

The relevance of this study stems from the need to develop effective models of interorganizational cooperation in the context of the global transformation of security systems and increasing instability in international relations. The CSTO, as a key actor in Eurasian security, is actively advancing its political mechanisms to integrate with international structures and build strategic partnerships aimed at strengthening collective security. The political mechanisms of the CSTO are viewed as a set of institutions, procedures, and instruments that ensure the coordination and implementation of collective decisions by member states in the fields of foreign policy and interorganizational interaction. The development of the CSTO's political mechanisms of interaction with other international and regional organizations is becoming particularly relevant in the context of the transformation of the global security system and increasing instability in neighboring regions.

The aim of this article is to provide a comprehensive assessment of the CSTO’s political mechanisms, identify their strengths and weaknesses, and formulate recommendations for their improvement in light of current challenges.

Materials and methods. The study is based on systemic, institutional, and comparative-legal approaches. The empirical basis includes official CSTO documents, minutes of international meetings, analytical reports, academic journal publications, and open-source data. The case study method is applied to analyze practical examples of the CSTO’s cooperation with international organizations.

Results. The key challenges identified include institutional heterogeneity among member states, bureaucratic barriers, political pressure, and coordination difficulties in a multipolar environment. Successful cooperation cases with the UN, SCO, CIS, and ICRC are examined, demonstrating the Organization’s potential in maintaining regional stability and countering new threats. Strategic directions for improvement are substantiated, including the development of hybrid security tools and the strengthening of peacekeeping capacities.

 Conclusions. The adaptation of the CSTO’s political mechanisms is essential for its effectiveness and legitimacy in the international arena. Strengthening the Organization’s position requires systematic updates to its legal framework, enhanced coordination with global actors, and the introduction of innovative tools for responding to contemporary security threats. Recommendations aimed at strengthening institutional cooperation with the UN, modernizing political and legal instruments, integrating hybrid security mechanisms, and expanding the humanitarian dimension constitute the strategic foundation for the CSTO’s future development.

The demographic challenges facing Russia are creating a demand for an effective state family policy. Objective — to conduct a comprehensive sociological analysis of the development of reproductive attitudes among young people in St. Petersburg within the framework of institutional practices implementing state family policy. The empirical subject of the study is young people in St. Petersburg aged 14 to 35. This study utilized a quota sample, with quotas established by gender and age as related characteristics. A total of 401 respondents were surveyed. It was found that family occupies a priority position in the younger generation's value system, second only to material well-being: 72.2% of respondents named family as their primary value, while 82.6% cited material well-being. Factor analysis revealed two key factors: Material and infrastructural support for families and Status and preferential support for large families. Those in favor of material and infrastructural support were almost twice as numerous — 63.8% versus 36.2% who supported status-based benefits. The study demonstrated not only the importance of a comprehensive approach but also the need for a flexible and targeted implementation of family policy.

This article discusses the formal definition of artificial intelligence. Next, the most well-known interpretations of human intelligence are analyzed.

A comparative analysis of the characteristics of human and artificial intelligence is carried out. The course of mental operations in humans and computers is considered and compared. The strengths and weaknesses of the latter are analyzed. The question is raised about the reasons for the high expectations from the work of artificial intelligence. The fundamental difference between the human learning process and learning from artificial intelligence is considered. The dependence of the success of his activity on the quality of the training sample is discussed. Potential problems that may arise in the process of artificial intelligence activity have been identified.

The possible mistakes that artificial intelligence can make are analyzed. The possibilities of successful application of artificial intelligence in various fields are considered. The danger of using artificial intelligence for antisocial purposes is noted. The negative aspects related to the use of artificial intelligence in the educational field are described.

The debatable issue of the possibility of using the power of artificial intelligence to manage economic processes is being considered.

Based on the conducted research, conclusions are drawn about the importance of using artificial intelligence as a tool, but about the impossibility of identifying the functioning of artificial intelligence and human intelligence.

Objective. To synthesise current editorial policies governing the use of generative artificial intelligence (AI) models in scholarly publishing and to identify unresolved issues requiring further guidance and evidence.

Methods. A descriptive review of peer-reviewed publications (2023–2025) and openly accessible policies issued by publishers and journals was conducted.

Results. In the absence of a unified international standard, major global and Russian publishers have issued role-specific guidance for authors, reviewers, and editors on interacting with generative AI (e. g., GPT-class models). Areas of emerging consensus include: AI systems are not recognised as authors; accountability for content resides exclusively with human contributors; and the use and role of AI must be transparently disclosed. Notable heterogeneity persists in the boundaries of permitted practices, ranging from non-binding «fair-use» recommendations to formal checklists and mandatory disclosure fields embedded in editorial management systems. Guidance is most developed for authors and editors, whereas rules for reviewers are comparatively sparse. Disciplinary variation is evident in both the permissiveness and specificity of recommended practices.

Research gaps. There is no industry-wide consensus on acceptable uses of generative AI in research reporting or editorial workflows. Empirical evidence remains limited regarding the impact of generative AI on manuscript quality, the integrity and efficiency of peer review, and reader perception. Standards for provenance tracking and durable recording of AI-generated content are under-specified, and documented retractions explicitly involving AI-generated manuscripts are rare.

Conclusions. While norms around authorship, responsibility, and disclosure are converging, operationalisation across journals and disciplines is inconsistent. Coordinated standard-setting and rigorous empirical studies are needed to evaluate risks and benefits and to support evidencebased policy.

The article is devoted to a comprehensive analysis of the dynamics of Russian-Chinese relations in the context of fundamental changes in the global political and economic order. Against the backdrop of the Ukrainian conflict, sanctions pressure from Western countries, the breakdown of traditional trade and economic ties and the rapid increase in geopolitical instability, Russia has accelerated the implementation of the “Turn to the East” strategy. In these conditions, China has emerged as a key strategic partner capable of compensating for losses from the deterioration of ties with Europe and the United States. The article focuses on the alignment of Russia's Eastern strategy with China's Belt and Road initiative, which opens up new horizons for Eurasian integration. This work covers the main areas of Russian-Chinese cooperation: energy (including the export of oil, gas, and coal), joint investment projects, trade in high-tech products, the development of digital platforms, infrastructure, as well as financial and credit cooperation with the transition to settlements in national currencies. Particular attention is paid to the role of transport integration, in particular, the expansion of railway transit through Kazakhstan, Mongolia and the Russian Far East, the development of the Trans-Siberian route and the construction of bridges and logistics hubs on the Russian-Chinese border. In the article, the author also considers the strategic importance of Central Asia, which is becoming an area of close interaction and competition of interests between Moscow and Beijing. It is noted that despite differences in approaches, Russia and China are seeking to develop mechanisms for coordinating efforts in this region, relying on the potential of the SCO, BRICS and other multilateral structures. The potential for linking the Eurasian Economic Union with Chinese infrastructure projects is analyzed. Within the framework of the study, based on statistical data for 2022–2025, official statements, expert assessments and content analysis of political documents, a conclusion is made about the increasing sustainability, systemic nature and strategic depth of the Russian-Chinese partnership. This cooperation does not appear to be situational, but rather a conceptually verified response to the challenges of global turbulence and an example of a constructive approach to building a multipolar world.

Relevance. In the context of a rapidly changing society and the improvement of digital tools for data collection, processing and storage, many states are actively introducing scoring systems to evaluate citizens according to various parameters — from financial viability to social behavior. These systems, originally created to minimize risks in the financial sector, are now being transformed into comprehensive social management tools that affect citizens' access to a wide range of goods and services. But despite the obvious advantages of using scoring systems for commercial structures, the issues of risks and challenges that these systems pose to society remain relevant.

The purpose of this study is to identify features in approaches to assessing the economic and social trustworthiness of citizens with further interpretation of threats and opportunities from the use of scoring systems.

Methods. To achieve this goal, a comparative analysis of the scoring systems of Russia, the USA, China, Germany, Japan, India, Great Britain, France, Italy, and Canada was carried out. Also, the comparative analysis of scoring systems was supplemented by the results of interviews with 32 experts who gave their own assessments regarding the specifics of using large-scale assessment and rating systems for citizens. The article will also examine the key assessment parameters used in various national models. Special attention is paid to generalizing potential social, ethical, and political threats to the use of scoring systems in a large-scale assessment of citizens' trustworthiness.

Results. The study revealed the specifics of approaches to assessing the economic and social trustworthiness of citizens, as well as interpreted the threats and opportunities of using scoring systems. The analysis showed that scoring systems reflect the values and priorities of the society and the state that implement them.

Conclusions. Scoring systems, originally created to assess credit risks, have been transformed into social management tools that reflect the values and priorities of each society. Their widespread use carries risks such as the illusion of algorithm objectivity, the threat to data privacy, and the possibility of being used as a tool for control and punishment. To ensure a just society, strict regulation of these systems is necessary, including transparency, protection of citizens' rights, and public dialogue, so that they remain instruments of social well-being rather than comprehensive control.