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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.
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‘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.

 

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Гендерные стереотипы и женские стратегии в высшем STEM-образовании: обзор междисциплинарного поля

Журнал исследований социальной политики. 2022. Т. 20. № 3. С. 505–520.
Savinskaya O., Лебедева Н. В., Vilkova K.

This paper focuses on the systematic review of articles on the measurement and analysis of gender stereotypes in higher education that were published in international journals over the past 30 years (1990–2020). The review aims to systematise the theoretical and methodological approaches defining gender stereotypes in STEM higher education and their role in the transformational processes of contemporary higher education and in the development of sociocultural openness of university environments, which have been available in the global socio-humanitarian field in recent decades. To achieve this goal, we used both open (Google Scholar) and closed (JSTOR, EBSCO, Scopus, Web of Science, American Psychological Association) citation databases. According to formulated criteria, the database of the 61 most relevant articles was left for the analysis. The articles covered the following topics: ability and self-confidence in STEM subjects, self-esteem, persistence, gender roles, motivation, values, social discomfort, low percentage of girls in technical majors, gender achievement gap, uneven student dropout, mismatched career plans. Based on the studied articles and classical approaches, the definition of gender stereotypes was proposed, positive and negative stereotypes and their significance for the formation of inequality were highlighted, the two most popular psychological theories about gender stereotypes – stereotype threat and implicit theories – were analysed, and methods of their measurement were systematised. The final part of the article reveals how gender stereotypes allow us to study the main aspects of gender inequality in higher education: female minority status in the academic environment, the relationship between gender and professional identity, motivation, persistence in obtaining a STEM profession and student dropout. The discussion indicates the need for further cross-country comparative research and the development of comprehensive measures. The question about the possibility of a conscious choice of a professional path in higher education is raised.

Research target: Education Sociology (including Demography and Anthropology Psychology
Language: Russian
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Keywords: высшее образованиеимплицитные теориигендерные стереотипыgender inequalityгендерное неравенствоimplicit theorieshigher educationgender stereotypesSTEM-образованиеSTEM-educationstereotype threatугроза подтверждения стереотипа
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