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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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Эффект интервьюера и гендерное равенство: оценка иде­ального возраста жизненных событий в странах Европы

Мониторинг общественного мнения: Экономические и социальные перемены. 2023. № 6(178). С. 197–217.
Korsunava V., Vólchenko O.

This article compares the relationship between responses to gender related questions and interviewer characteristics, depending on the country level of gender equality. Existing literature provides two main approaches to explaining interviewer effect — the social attribution model and the social distance model. According the first approach, respondents change their responses depending on the characteristics of the interviewer; the second approach considers the difference in the social characteristics of the respondent and the interviewer. This study examines the influence of interviewers’ gender (social attribution model) and the difference in the age of the respondent and the interviewer (social distance model) on the assessment of the ideal age for various demographic events in the lives of men and women. Based on the data of the European Social Survey’s Round 9, first, we show that female interviewers receive a greater estimate of the ideal age for events in the life of men. Second, the effect of interviewer’s gender is lower in countries with higher gender equality. Third, a larger age difference between respondent and interviewer leads to a decrease in the estimate of the ideal age for the life events under study, and the effect remains the same for all countries under study. The results of the research indicate the need to consider the characteristics of the interviewer when analyzing survey data.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: сравнительные исследованиягендерное равенствоgender equalityinterviewer effectcomaprative studiesage of life eventsэффект интервьюеравозраст наступления жизненных событий
Publication based on the results of:
Value Polarization and Its Societal Consequences in a Comparative Perspective (2023)
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