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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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Удовлетворенность различными аспектами работы мужчин и женщин в России

Мониторинг общественного мнения: Экономические и социальные перемены. 2017. № 5. С. 271–288.
Poplavskaya A., Soboleva N.

The paper aims at revealing gender differences in the level of satisfaction with different aspects of job in Russia. The research is based upon the analysis of two waves of "Complex observation of living conditions in Russia" conducted by the Russian Federal State Statistics Service in 2011 and 2014. It is shown that during the period of three years the level of job satisfaction for both men and women increased in Russia. Men turned out to be more satisfied with wage, whereas women are happier with other job characteristics such as job security, job content, working hours, working conditions, and distance from home to work. In other words, gender paradox is present in Russia, as other things being equal, women in Russia are more satisfied with work than man. Generally the described gender differences are stable when taking into account age, education and type of contract of the employees. However, the largest gender differences in job satisfaction were found for the middle-aged, especially for the belonging to 36-45 age group, whereas for the group above 55 years the gender gap is less. Gender differences are significant for all educational groups, but they become slightly weaker for people with higher education. Compared with employees with permanent and temporary contract, workers without written contract demonstrate larger gender differences in satisfaction with various job aspects. At the same time, gender differences in wage satisfaction for workers without written contract disappear.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
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DOI
Text on another site
Keywords: рынок трудасравнительный анализemploymentудовлетворенность работойgender differencesгендерные различияcomparative analysisгендерзанятостьgenderjob satisfactionlabor marketsatisfaction with job characteristicsdynamics of job satisfactionудовлетворенность аспектами работыдинамика удовлетворенности работой
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