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News
May 14, 2026
Resource Race and Green Transition: Three Unexpected Conclusions from Foresight Centres Research on Climate and Poverty
Beneath the surface of green energy—which most people associate with solar panels, electric vehicles, and reduced CO2 emissions—lies a complex web of geopolitical interests, international inequality, and resource constraints. Researchers from the Laboratory for Science and Technology Studies (LST) at the HSE ISSEK Foresight Centre have published a series of articles in leading international journals on hidden and overt conflicts surrounding critically important metals and minerals, as well as related processes in the energy sector.
May 13, 2026
Immersion in Second Language Environment Influences Bilinguals Perception of Emotions
Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.

 

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Технические дисциплины (STEM) как девичий профессиональный выбор: достижения, самооценка и скрытый учебный план

Женщина в российском обществе. 2018. № 3. С. 34–48.
Savinskaya O., Мхитарян Т. А.

This article explores the problem of gender inequality, manifested in the process of socialization of schoolchildren and young people. This problem leads to a decrease in the motivation of girls to choose technical sciences and STEM-professions as a career. The data was collected by means of an online survey and completing the questionnaire at school. The final sample involved 438 schoolchildren who are enrolled in 5, 8 and 11 grades in Moscow and Gubkin (Belgorod region). The data analysis demonstrates that, despite the fact that the objective achievements of girls in math are high, they tend to underestimate their abilities and less often associate their higher education prospects with technical sciences. A binary logistic regression with the interaction effects was built to look for the determining factors of schoolgirls choice of STEM-field. The appeal to interaction effects allowed to make interpretation of results more meaningful. The regression model reveals that parents, math teachers, gender beliefs, class profiles, assessment of the math abilities and the organization of the school curriculum in certain combinations influence the choice of STEM-disciplines by school girls. It is noteworthy that the class profile and the organization of the school curriculum participated in all interaction effects. The notion of a “hidden curriculum” is developed; a scale is proposed for its measurement. The factor analysis reveals that the most significant factor is “the organization of the academic life and the education programs”.

Research target: Education Sociology (including Demography and Anthropology Other social sciences
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: профориентацияschoolшколагендерные стереотипыprofessional choiceSTEMgender stereotypesSTEMhidden curiculumскрытый учебный планgirls' motivationgirls' self-estreemмотивация девочексамооценка девочек
Publication based on the results of:
Обоснование преимуществ поиска эффектов взаимодействия и их учета в социологических регрессионных моделях (2018)
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