Vol. 27 No. 6 (2025)

As data volumes grow rapidly, effectively employing data is becoming critically important for enhancing the performance of public administration. However, existing approaches do not always take into account the institutional, technological, and regulatory aspects of working with Big Data. This leads to fragmentation and reduced manageability. One particular challenge is the lack of a unified, methodologically sound framework adapted for public administration. Using a systematic analysis and comparative approach, the author developed a typology of Big Data management models. This typology considers departmental characteristics, technological development levels, and national digital transformation priorities. The results of the study include the following: justification of the key characteristics of Big Data as a tool for improving the efficiency of public administration; development of methodological foundations for building an effective data management system; development of a typology of data management models that optimizes interdepartmental interaction and improves the quality of management decisions. The article’s practical significance lies in its proposal of specific measures for integrating disparate data. These measures include system inventory, process standardization, and the creation of a single point of integration for fragmented data. Government authorities can use the study’s findings in the formulation of digital transformation strategies, the establishment of a regulatory framework, and the development of digital infrastructure. The proposed solutions will make data management in public administration more transparent, secure, and efficient.

The article discusses three main types of prompt injections: direct, indirect, and those aimed at generating malicious instructions. In the context of LLM application in the public corporate sector, the authors propose a systematic approach to their analysis. The study examines the risks associated with employing LLMs to support electronic document management, prepare official documents, and automate the processing of citizens’ requests. The results obtained indicate the need to develop specialized protection methods and regulations for the use of LLM. They also highlight the need to introduce mechanisms for validating model conclusions and to limit the powers of agent systems.

The article presents a comprehensive analysis of the use of artificial intelligence technologies in public administration systems, with a particular focus on domestic policy. The research methodology is based on a comparative analysis of domestic and international cases as well as regulatory documents related to artificial intelligence. The paper reviews various approaches to classifying artificial intelligence systems, emphasizing their functional features and practical applications. It also proposes an approach to integrating AI technologies into public administration systems, revealing new aspects of the interaction between technological solutions and management processes.

The article focuses on the usage of AI technologies in the activities of Russian civil servants. The study explores key research areas in this field, emphasizes essential prerequisites for effectively integrating AI into the civil service, and identifies the challenges that may arise during this process. The authors found that insufficient digital literacy among civil servants and low trust in AI tools appear to be key obstacles. A survey of HR staff at government agencies revealed their experiences using AI at work and their opinions on the subject. The results obtained indicate the need to modernize the technical aspects and introduce new digital solutions, including artificial intelligence, in everyday practice. The authors emphasize the need to enhance the digital skills of state and municipal employees. The main task is to develop specialized educational programs and courses that focus on enhancing digital literacy, particularly in the area of AI.

The article examines the function of generative artificial intelligence (AI) systems as one of the key instruments forming the foundation of digital trust. According to the author, the goal of building digital trust is to establish conditions that improve the effectiveness of social governance. These include measures for monitoring the state of society as an object of governance, shaping the desired worldview of individuals, creating mechanisms for resolving conflicts of various natures. The study defines requirements for a model of social governance at the strategic level. This model should operate with a limited number of factors and the relationships between them and be visual, suitable for high-quality subjective analysis by decision makers. Based on this, the key objectives of digital trust are to manipulate the societal behavior, shape worldviews, and develop controllable individuals. The study demonstrates the effectiveness of generative AI technologies in addressing these issues, as these systems are designed to produce information objects of different nature with simulated meaning.

The digital transformation and growing external pressure on the Russian Federation are the main causes of the numerous problems facing Russia’s municipal governance system. The article aims to identify contradictions in staffing of the municipal governance system and to determine the most promising ways to resolve them. The authors examine the Russian Federation’s current personnel situation and essential issues related to municipal governance. The article introduces two conceptual models of the municipal governance ecosystem. The study revealed spatial disparities in the number and distribution of municipal employees across regions, with some regions having higher numbers of personnel than others. The significance of implementing a human-centered approach to governance is currently underrated. The study allowed for the proposal of measures to enhance personnel policies within state and municipal governance systems. These measures aim to address personnel shortages and other negative trends.

The article discusses the outcomes of the 4th International Conference on Financing for Development (FFD4), which took place on June 30-July 3, 2025, in Seville, Spain. The study is based on an analysis of the FFD4 Outcome Document and the Seville Commitment through the lens of the Russian Federation’s national interests, as presented in the country’s official position prepared before the conference. In the first part of the study, the author examines the current state of international finance and outlines how it impedes the achievement of the Sustainable Development Goals (SDGs). The author also outlines the structure and key themes of the Outcome Document. The second part analyzes how Russian proposals are represented in the provisions of the Seville Commitment. The author notes that Russia’s proposals align with the key areas of action identified in the Seville Commitment: «large-scale investment in sustainable development», «resolving the debt and financial crisis in low- and middle-income countries», and «profound reform of the international financial system». The final section evaluates the feasibility of implementing the Seville Commitment based on the chosen approaches to cooperation of major international donors.

This study provides a statistical analysis of the foreign trade turnover between the Russian Federation and the countries that initiated the project: the Republic of India and the Islamic Republic of Iran. The study evaluates the export potential of trade between Russia and India, as well as trade between Russia and Iran, and identifies the product groups with the highest export potential. Additionally, the article analyzes the development of transportation infrastructure within the North-South transport corridor. This includes construction and reconstruction work on sections stretching from Russia to Iran and further to India. The author compiled summary tables that reflect the volumes of products with the highest export potential. These tables include actual export figures and unrealized potential. The research pays special attention to key barriers hindering the development of the North-South transport corridor, including infrastructure constraints.

The article examines the potential of industrial democracy as a means of engaging employees in their organization’s economic activities and enhancing their productivity. The author explores the challenges associated with underestimating the positive impact of industrial democracy on labor productivity at the state level in present-day Russia. The article provides examples from domestic and foreign practices in which elected workers’ self-government bodies have significantly increased labor productivity at enterprises. It also demonstrates the other advantages of industrial democracy. It should be noted that modern researchers often equate the concepts of “industrial democracy” and “participatory management,” which is not entirely correct. It is essential to distinguish between these concepts depending on the type of enterprise in question: traditional commercial or collective. The maximum level of employee involvement can only be achieved in collective enterprises, whose distinctive feature is the election of managers and control over their activities, which is the essence of industrial democracy. The study indicates that, given the ongoing efforts to enhance labor productivity in Russia and the absence of a state-level solution to this issue, the implementation of various forms of industrial democracy should receive greater attention.

This article analyzes the potential applications of online platforms in research management using the Russian system «Cyberprofessor» as an example. The study offers a set of instruments for addressing a variety of tasks, including formulating hypotheses and topics, creating a research plan, searching electronic databases for information, and preparing the text of a scientific paper for ethical review and final verification. The article provides an overview of the individual services of the Cyberprofessor platform in RANEPA students’ personal accounts, emphasizing the initial stages of research. It also draws general conclusions about the practical application of such systems. Based on the research conducted, including a study of how similar systems function abroad, the author proposes a deep search concept based on a multi-agent system. This system includes AI agents that interact with researchers through a single interface. This interface allows researchers to track and adjust the results of each stage of their work. The work also emphasizes the importance of using a supervisor agent and a methodologist agent. These agents coordinate the activities of other agents, provide methodological support for the research process, and divide extensive research goals into smaller tasks.

The article examines the advantages and disadvantages of various approaches to standardizing the organization of legal clinics. The authors explore the legality of legal clinic interns representing clients in court, identify issues in their interactions with clients, and discuss possibilities to encourage interns to provide legal aid systematically and conscientiously. The Legal Clinic of the Presidential Academy proposes to implement new elements for organizing the activities of interns. These include co-mentors, coordinators, and meeting agenda.