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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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“There is no Middle Class in this Oblast. There are Rich and Poor.”: Economic and Social Policy Trade-Offs in the Russian Regions

2011. No. 825-06.
Remington T. F., Soboleva I. V., Sobolev A. S., Urnov M.

On the basis of in-depth case studies of four Russian regions, Kirov and Voronezh oblasts and Krasnoyarsk and Perm' krais, the trade-offs among social and economic policy at the regional level in Russia are examined. All four regional governments seek to develop entrepreneurship while preserving social welfare obligations and improving compensation in the public sector. Richer regions have a greater ability to reconcile social commitments with the promotion of business. Regions differ in their development strategies, some placing greater emphasis on indigenous business development and others seeking to attract federal or foreign investment. Governors have considerable discretion in choosing their strategy so long as they meet basic performance demands set by the federal government such as ensuring good results for the United Russia party. In all four regions, governments consult actively with local business associations whereas organized labor is weak. However, the absence of effective institutions to enforce commitments undertaken by government and its social partners undermines regional capacity to use social policy as a basis for long-term economic development.

Research target: Economics and Management Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration
Priority areas: economics sociology state and public administration humanitarian
Language: English
Full text
Keywords: социальная политикаэкономическая политикапредпринимательствоконкуренцияsocial policyeconomic policyрыночная структураконцентрациягосударственный секторрегионы Россиигруппы интересовRussian regionsполитический процессgovernorshybrid regimesгубернаторыгибридные режимыгосударственные предприятиягосударственное регулирование экономикипринятие политических решенийчастный сектор и частные предприятиясоциальные и экономические проблемы развитияуправление социально-политическими процессамикрупные, мелкие и средние предприятия
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