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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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Демографические факторы как предикторы революционных ситуаций: опыт количественного анализа

Социологический журнал. 2022. Т. 28. № 4. С. 34–59.
Ustyuzhanin V., Жодзишская П. А., Korotayev A.

Although there are plenty of quantitative cross-national analyses on the influence of population age structure on revolutionary risks, there are currently not enough studies that examine its impact on the risks of armed and unarmed revolutions taken separately. Assuming that the dependence of potential political destabilization on the median age will suffer for armed and unarmed revolutions, we propose the following hypothesis. High median age and the level of a country’s economic development will negatively correlate with armed revolutions. A moderately young median age will have positive influence on the risks of non violent rebellions, while the overall dependence of unarmed revolutions on median age will be slightly positive and curvilinear. Relying on materials from NAMCO 1.3 and the UN Population Division databases and by means of utilizing cross-tabulations, correlations and logistic regression, we analyze about 250 revolutionary episodes between 1950 and 2019. All of our hypotheses turn out to be supported. The higher the median age  of  the  population  —  the  less  likely  the  occurrence  will  be  of  armed  revolutionary  instability. On the other hand, as the population ages, the risks of unarmed revolutionary actions first grow, but then decline.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: демографияdemographyrevolutionsРеволюции
Publication based on the results of:
New revolution wave at the Afrasian instability zone (2022)
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