The transition to sustainable development highlights the role of green innovation, with budget subsidies serving as a key incentive. A study based on a 2024 report from the Irkutsk Region Ministry of Natural Resources shows that the regional practice of budget subsidizing environmental projects is primarily infrastructural and compensatory, rather than innovative. Funds are directed toward damage control rather than breakthrough technologies. Identified problems include formal performance assessment, a lack of environmental KPIs, and low business engagement. Subsidies potential fulfillment requires targeted programs, a reform of the assessment system with qualitative indicators, and differentiated support measures for industrial enterprises.

   The article presents an analysis of the challenges of assessing the strategic potential of the Islamic financial technology market. The theoretical framework is based on Sharia principles (maqasid al-Shari'ah) and the strategic guidelines of the Islamic Development Bank. The article proposes a proprietary FinTech-meter model, combining expert assessments of countries' innovative potential with predictive modeling methods. The model allows for the identification of strategic archetypes of countries and forecasting the development trajectories of the Islamic FinTech market. The results contribute to the development of a regulatory environment and strengthening the socially oriented foundation of the Islamic financial system.

   This article assesses the impact of factors associated with improved quality of life or worsening personal well-being on regional voter turnout and voting in federal elections. The primary assessment method is fixed-effects quantile regression. The dataset consists of open data from 82 Russian regions. The results show that material and personal well-being translate into electoral activity, not only in voter turnout but also in votes for the current government. The impact of these factors varies across regional quantiles.

   This article analyzes the institutional foundations for attracting young people to municipal service in Russia. The study demonstrates that the federal level sets the strategic vector and standard models of personnel policy, while regional and municipal initiatives reflect the adaptation of these approaches to local specifics. The article shows that the institutional framework for integrating the younger generation into local government is undergoing consistent improvement; however, a discrepancy remains between the scale of the tasks set and the limited resource capacity of municipalities.

   This article examines the interaction between regional industry complexes, government agencies, and society in the context of sustainable development. The author analyzes the potential of the ESG concept as a tool for synchronizing the interests of business and the region, helping to overcome the negative consequences of the “historical rut” and public mistrust of centralization.

   The article pays particular attention to media support for the recentralization strategy.

   It proposes a two-stage performance assessment system, including professional indicators and public oversight through dashboards, to increase transparency and trust in government and business.

   The article substantiates proposals for development of greenhouse complexes in the eastern Russian Arctic, which are essential for strengthening food security and improving the population's quality of life. Based on an analysis of the settlement patterns and development prospects of settlements in the Russian Arctic, there is a selection of 14 locations for greenhouses of three sizes (with an annual capacity of 150, 600, or 1,000 tons). The authors use simulation modeling to assess the socioeconomic impact of greenhouse projects. To reduce payback periods, there is a need for a targeted government support mechanism through subsidizing 5‒10 % of sales. In addition, the article shows that savings on northern deliveries will almost completely offset the amount of government support.

   Most of the basic legal acts defining the essence of the smart cities concept are subordinate and fragmented. This gives rise to numerous contradictions concerning key concepts, goals and areas of development, as well as the competencies of government agencies at various levels of governance. The problem of timely detection of contradictions (collisions) is possible through the development of automated systems for monitoring regulatory development projects and identifying conflicts even before their official approval. This article describes the architecture of the proposed human-machine system for automated monitoring of regulatory legal acts and identifying conflicts. The process of identifying conflicts is considered as a two-stage procedure. In the first stage, neurolinguistic programming (NLP) methods are used to transform the ordinary text into a structured form; in the second stage, the formalized norms are fed to an analyzer based on the principles of deontic logic. Through the decision support interface, the lawyer receives a detailed, interpretable dossier on the potential conflict.

   This article proposes an approach to jointly assessing course difficulty and student performance based on Bayesian networks. Unlike traditional methods based solely on GPA or the number of credits, this approach takes into account both objective and subjective factors influencing course difficulty and individual student performance. Using Bayesian methods allows for the integration of prior information (e.g., placement test results or historical course data) and updating assessments based on observed learning outcomes, ensuring transparency and interpretability of findings. This method not only facilitates a more equitable ranking of students based on the difficulty of the courses they complete but also identifies teaching characteristics associated with specific instructors or educational institutions, which can be useful for analyzing the quality of the educational process and its subsequent optimization.