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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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.

 

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Количественный анализ социально-демографических факторов революционной дестабилизации: результаты и перспективы

Журнал социологии и социальной антропологии. 2024. Т. 27. № 3. С. 106–145.
Korotayev A., Мусиева Д. М., Zhdanov A.

Classification of theories of revolution by generations of the American sociologist J. Goldstone is one of the most common ways to systematize research in this area. In addition to the four generations of theories of revolutions already rooted in scientific discourse, the formation of a new fifth generation is noted in modern science. The article presents the results of the analysis of socio-demographic factors of revolutionary destabilization, which, according to the authors, can be attributed to the works of the fifth generation of theories of revolution. Quantitative cross-national studies of socio-demographic factors of revolutionary destabilization conducted to date show that the same socio-demographic factors can have very different effects on the likelihood of armed uprisings, on the one hand, and unarmed revolutionary actions— on the other. These studies demonstrate that the probability of unarmed revolutionary actions is higher in economically medium-developed countries with low infant mortality, a fairly high proportion of the urban population, fairly high levels of formal education and median age, and a not very high proportion of young people. On the other hand, armed uprisings are most likely in the poorest countries with very high infant mortality, a low proportion of the urban population, low levels of formal education and median age, and a very high proportion of young people in the total adult population ("youth hill"). Such important socio-demographic indicators as high population and socio-economic inequality increase the risks of both armed and unarmed revolutionary destabilization.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: quantitative analysisколичественный анализполитическая демографияpolitical demographicssocio-demographic factors of revolutionsThe causes of revolutions социально-демографические факторы революцийпричины революций
Publication based on the results of:
Global challenges to the development of the "Afrasian" macro-zone of instability in the context of Russia's national interests (2024)
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