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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.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Социально-экономическая композиция школы как фактор воспроизводства неравенства в образовании

Вопросы образования. 2020. № 4. С. 85–112.
Kersha Y.

It can be inferred from international findings that school socioeconomic composition (SEC) is a major factor of educational inequality in secondary education at the school level. SEC is believed to have a positive relationship with student achievement along with individual student characteristics. However, a review of research methods used in most studies calls the existence of an influence into question.

A study was carried out to evaluate causal relations between school SEC and student achievement. Multilevel regression analysis and propensity score matching (PSM) methods were applied to the panel study Trajectories in Education and Careers data in order to measure the effects of one year of study at schools with low vs. high socioeconomic composition. Correlational and quasi-experimental effect sizes were compared. 

Analysis results confirm that school SEC is a key factor of educational inequality in Russian secondary education, the inequality effects of school composition overlapping only partially with those of school location. Within a year of schooling, ninth-graders with similar individual characteristics may lose up to a quarter of standard error in PISA-2012 scores if attending a school with low socioeconomic composition, while attending a high-SEC school would improve their educational outcomes by the end of the ninth grade. Negative effects were observed for two subject areas, which allows suggesting a systematic impact of SEC on student achievement. The final part of the article describes the theoretical and practical significance of the findings and presents the main directions of further research in this field. 

Research target: Sociology (including Demography and Anthropology Education
Priority areas: sociology
Language: Russian
Full text
DOI
Keywords: социальное неравенствоакадемические достиженияобразовательное неравенствоacademic achievementsocial inequalitypropensity score matchingsocial composition of student bodyexperimental and quasi-experimental design in educational researchэксперименты и квази-эксперименты в исследованиях образования educational inequalityсоциально-экономическая композиция школы
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