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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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Потребительские расходы населения в зеркале агрегированных трансфертных счетов: национальные и региональные аспекты

Вопросы статистики. 2023. Т. 30. № 6. С. 35–50.
Nazarova A. G.

Building upon a series of the author’s prior publications in the journal Voprosy Statistiki (in 2019–2022), this new article further deve- lops the idea of applying National Transfer Accounts (NTAs) as a toolkit for economic and demographic analysis of a wide range of macro patterns in the economy, both nationally and on the regional level. The author highlights the NTAs' practical utility, allowing for a more detailed, compared to the System of National Accounts (SNA), analysis of the reallocation of financial resources, including through the prism of dependents and those who finance them. It includes a concise description of the current research concept and the methodology approach chosen for the analysis.

Based on the author's calculations of the analyzed indicators at the national and regional levels, the body of the article confirms that the influence of the age structure of society on consumer spending of the population manifests itself in the priorities of consumer demand. On the macro level, the comparative example of Russia, Sweden and Mexico shows commonalities and specificities in the financing of con- sumer demand by resources of the private and public sectors and the corresponding timespans of running deficit-free economic lifecycle in these countries. As a comparative framework for the Russian economy, the countries with the most (Sweden) and least (Mexico) generous state subsidies for the consumption of the population in the form of current transfer support were selected. In the regional aspect of the analysis, the structural characteristics of the age profile of the regions (from 2011 to 2020) were compared with the accumulated (per capita) dynamics of regional consumer spending with a pronounced age bias (on education and healthcare). The regional results were analyzed in the context of the overall economic situation. The article illustrates the qualitatively different consumer demand priorities of the «young» and «advanced- in-years» regions by the comparative infographics case studying the Republic of Ingushetia and Tver Region (regions with diametrically opposite features of the demographic structure). The author has dealt with consumer behavior models across various ages in the context of the Strauss-Howe generational theory, devised by William Strauss and Neil Howe.

The author demonstrates how the COVID-19 pandemic impacted the sources of financing household spending on the level of the economy as a whole.

The concluding section draws methodological parallels between national transfer accounts and such summary indicators as human de- velopment indices and the UN Sustainable Development Goals to be considered in macroeconomic and regional analysis.

Research target: Sociology (including Demography and Anthropology Social Sciences Economics and Management
Language: Russian
DOI
Text on another site
Keywords: потребительские расходы населениясистема национальных трансфертных счетовтрудовой доход система национальных счетов финансирование дефицита экономического жизненного цикла возрастные когортытекущие трансферты государства
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