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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, 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
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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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