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  • РАЗРАБОТКА МОДЕЛИ ЦИФРОВОЙ ЗРЕЛОСТИ ГОСУДАРСТВЕННОГО УПРАВЛЕНИЯ В РЕГИОНАХ РОССИЙСКОЙ ФЕДЕРАЦИИ
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News
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.
May 7, 2026
Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors
An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.
May 6, 2026
The Future of Cardiogenetics Lies in Artificial Intelligence
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

 

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РАЗРАБОТКА МОДЕЛИ ЦИФРОВОЙ ЗРЕЛОСТИ ГОСУДАРСТВЕННОГО УПРАВЛЕНИЯ В РЕГИОНАХ РОССИЙСКОЙ ФЕДЕРАЦИИ

Вопросы государственного и муниципального управления. 2025. № 4. С. 35–60.
Styrin E. M.

This article addresses the problem of insuffi cient diagnostic depth in the current
approaches to assessing the digital maturity of public administration in the regions of the
Russian Federation. The federal methodology proposed by the Ministry of Digital Development
focuses on external performance indicators of digital transformation but does not fully
reveal the internal organizational capabilities of government agencies. At the moment, the
methodological and empirical basis for assessing the level of digital maturity in the regional
context remains limited and fragmented – there is no unifi ed approach to operationalizing the
concept of «digital maturity.There is a demand for a general methodology to conduct a correct
interregional analysis; to form proven tools for identifying factors infl uencing the differences
in the dynamics of regional digital transformation. The aim of this research is to develop
a comprehensive and adaptive model for assessing digital maturity in regional government
bodies, enabling a structured diagnosis of the digital development status of ministries and
departments across Russian regions. The research methodology includes a review of domestic
and international academic literature, systematization of digital maturity models, content
analysis of strategic documents, and expert generalization of practical cases. The proposed
model comprises six blocks: strategic management and digital culture; personnel and digital
competencies; processes; models and data; digital products; infrastructure and cybersecurity.
Each block is operationalized through a set of measurable indicators that enable a formalized
assessment and the development of a composite index of digital maturity. The study
contributes to new knowledge by integrating organizational, technological, and cultural components
into a unifi ed diagnostic framework. The results make it possible to compare digital
maturity across diff erent regions and to identify development priorities for specifi c agencies.
The model is designed to be fl exible and adaptive to the evolving technological environment.
The practical signifi cance of the work lies in the applicability of the model for regional authorities
seeking to monitor and manage their digital transformation more eff ectively.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
DOI
Text on another site
Keywords: искусственный интеллектинформационная безопасностьрегиональное управлениеregional administration information securityartificial intelligenceцифровые компетенциицифровая трансформацияdigital competenciesцифровая зрелостьdigital transformationdigital maturity
Publication based on the results of:
Citizen-state interaction in the context of digital transformation: Political, psychological, and managerial factors and barriers (2025)
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