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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 трансформация государства и социально-­экономическое неравенство в кросс-­национальной перспективе

Журнал исследований социальной политики. 2024. Т. 22. № 2. С. 195–208.
Kabanov Y., Sanina A., Styrin E. M.

The interaction between ICTs and inequality is a growing multidisciplinary area of research. The introduction of new technologies, particularly in the public sector, is often accompanied by the discourse regarding their positive socio-­economic effects, but the empirical evidence from studies to date is less clear. Studies have found both positive and negative effects of digital transformation on socio-­economic inequality, often mediated by other variables such as institutional quality. This paper contributes to this field of research by providing a cross-­national empirical analysis of how e-government and e-participation technologies affect inequalities in the provision of basic public services along three dimensions (income, social group, gender). The study is based on the data collected by the UN and the Varieties of Democracy project, covering the period from 2008 to 2022 and 171 countries, using correlation and regression analysis. The paper reveals that indicators of digital transformation significantly and positively correlate with dimensions of socio-­economic equality in access to public services: inequality is lower in countries with a high level of online services and e-participation development. At the same time, the panel data analysis with fixed effects does not provide convincing evidence of a causal mechanism behind this correlation. The development of e-government and e-participation technologies has a statistically significant effect on reducing inequality in access to services related to income, but is not significant for other dimensions of inequality (social group, gender), when controlling for time, country, and institutional effects. The findings may indicate both a lack of data and the insufficient impact of ICTs on social development. Expanding the temporal and geographical scope of the study, using alternative measures of variables and other methods of analysis (including case studies) are important further steps in exploring this issue.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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DOI
Text on another site
Keywords: электронное правительствоИКТнеравенствоэлектронное участиеe-Participationцифровая трансформацияICTs e-governmentdigital transformation inequality
Publication based on the results of:
Human-centered digital public administration: definition and development of a methodology for analysis (2024)
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