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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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Education Policy and Urban-Rural Disparities in Schooling in Post-Soviet Countries

Journal of Economic Sociology. 2026. Vol. 27. No. 3. P. 99–128.
Iskakova B., Kosaretsky S., Zair-Bek S. I., Anchikov K.

The issue of urban-rural inequality is recognised as one of the most pressing and unresolved challenges, particularly in post-Soviet countries. This article examines territorial inequality in educational outcomes across seven post-Soviet countries: Estonia, Latvia, Lithuania, Russia, Moldova, Georgia, and Kazakhstan. The study analyses how students’ PISA test scores vary by urban–rural location and investigates whether national educational policies, particularly school funding mechanisms and school network, have contributed to reducing or widening these disparities. Drawing on the generative theory of rurality, the study employs a mixed-methods design combining multilevel regression analysis of PISA 2009 and 2018 data with content analysis of national policy documents addressing post-Soviet educational reforms. The findings indicate a persistent and growing performance gap between urban and rural students, with the largest disparities observed in Moldova, Russia, and Lithuania. Rural location remains a statistically significant predictor of lower student achievement even after controlling for socio-economic and institutional variables. Estonia emerges as an exception, combining relatively high reading scores with a weak rurality gradient in 2018. The policy analysis suggests that per-capita and voucher-based funding mechanisms, together with large-scale school closures, have only weakly addressed the structural sources of rural disadvantage. The discussion highlights institutional and governance-related factors that may explain the limited effectiveness of these reforms and offers tentative recommendations concerning school funding design, teacher recruitment, and policy coordination in education. The article concludes by discussing study limitations and directions for future research.

Research target: Education
Language: English
Text on another site
Keywords: education policyPISAcomparative researchmixed methods post-Soviet countriesurban-rural disparities
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