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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Цифровая зрелость государственного управления в России: теория, методология, практика оценки

M. : Higher School of Economics Publishing House, 2025.
Styrin E. M., Ataeva A., Жатикова Д. В.

This monograph is dedicated to the study of the theoretical, methodological and institutional foundations for the formation and assessment of digital maturity in public administration in Russia. The central focus of the analysis is the concept of digital maturity as a key indicator of the effectiveness of digital transformation of government bodies at both the national and regional levels. Special attention is given to the institutional factors that determine the readiness of government structures to adopt digital technologies, as well as to methodological approaches for measuring the level of digital maturity. International experience in assessing digital maturity is systematized — the main models and indices are reviewed and compared with Russian practice.

The monograph also presents the results of applied research on the digital maturity of regional government bodies, including an analysis of the influence of socio-economic, organizational, and managerial factors on digital development. 

This publication is intended for researchers, educators, postgraduate students, students, civil servants, and specialists engaged in issues of digitalization of public administration, regional development, assessment of the effectiveness of digital transformation in public administration system

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
DOI
Keywords: цифровая трансформацияцифровая зрелостьdigital maturityDigital transformation (DT)индексы цифровой трансформацииpublic authorities digital maturity evaluationdigital transformation indicessectoral digital maturityоценка зрелости органов властиотраслевая цифровая зрелость
Publication based on the results of:
Citizen-state interaction in the context of digital transformation: Political, psychological, and managerial factors and barriers (2025)
Цифровая зрелость государственного управления в России: теория, методология, практика оценки
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