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Subject
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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Исследование показателей стратегии развития спорта в регионах РФ

Проблемы управления. 2021. Т. 3. С. 50–57.
Prokofiev V. N., Myachin A. L., Myachina K.

The indicators of regional sports development in the Russian Federation are analyzed
to find regions with a similar sports development strategy (according to the chosen methodology
and measures of closeness) and to identify dynamic groups in a four-year period. Some clustering
and pattern analysis methods are described, and their use in the study is validated. The results
obtained by classical clustering and ordinal-invariant pattern clustering methods are compared.
The main state programs in the field of sports in the Russian Federation are highlighted and analyzed.
The key aspects and problems of the state regulation of sports activities in the Russian
Federation are indicated. Some ways for improving the existing regulatory and legal acts based
on the dynamic analysis of regional patterns are proposed.

Research target: Economics and Management
Priority areas: state and public administration
Language: Russian
Full text
DOI
Keywords: спортгосударственное регулированиеstate regulationcluster analysisкластерный анализsportsфизическая культураphysical educationpattern analysisанализ паттерновпорядково-инвариантная паттерн-кластеризацияordinal-invariant pattern clusteringsport lifeспортивная жизнь
Publication based on the results of:
Decision making and data analysis in socio-economic and political systems (2020)
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