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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.
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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.
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‘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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Mathematical cartographic approaches toward evaluation and forecasting of ethnic composition in the Russian regions

Annals of GIS. 2013. Vol. 19. No. 1. P. 17–25.
Tikunov V., Riazantsev S., Timonin S.

This article is devoted to the study of the population’s ethnic structure in regions of Russia and former RSFSR (Russian Soviet Federative Socialist Republic) as well as the temporal dynamics of major ethnic groups by means of mathematical and cartographic modelling. Integrated indicators are developed to estimate ethnic diversity in regions of Russia and former RSFSR (ethnic diversity index and its modification – ethnic diversity index adjusted for the ability to speak Russian), and cluster analysis is performed to offer typological classification of Russian regions based on their ethnic composition. Maps are created on the basis of the derived indicators and typological classification. Finally, the estimates of the share of major ethnic groups up to 2030 are provided.

Research target: Earth Sciences Biology Sociology (including Demography and Anthropology
Priority areas: sociology IT and mathematics
Language: English
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Keywords: типологияtypologyethnic diversity indexGIS-mappingethnic forecastingпрогнозирование этнической структурыиндекс этнического разнообразиягеоинформационное картографирование
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