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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.
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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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Оценка эффективности системы здравоохранения в России

Народонаселение. 2017. № 4. С. 119–134.
Nazarova V., Борисенкова К. А.

The purpose of the article is to assess the effectiveness of Russian health care system on the basis of modern analysis tools, in particular, the effective frontier modeling (SFA –Stochastic Frontier Analysis). SFA is the dependence of the average life expectancy on the result of expenditure in health care, the average number of years of study and health risk factors as explanatory variables. Currently, there is a significant difference between Russian madical care system and health maintenance in developed countries. The method used assumes the modelling of a health production function that allows to assess how the irrational use of resources affects various health indicators by evaluating the parameters of the health production function. The result of the function is average life expectancy indicator, which represents a linear dependence of a set of explanatory variables. The results of the data collected from 11 countries for the period from 2000 to 2013 show the direct dependence between average life expectancy and income inequality measured by Ginny coefficient, and the reverse relationship between dependent variable and income per capita and the share of public expenditure on health in the total expenditure. In conclusion, based on the model recommendations for improving health care system in Russia have been developed. For example, the introduction of a system of population co-payment for a certain service liver; the creation of a unified system for the use of resources and management in the medical field; the development of public-private partnership in the health sector, the balance of financing medical expenses by the federal and regional budgets will contribute the effectiveness of the health care system.

Language: Russian
Full text
DOI
Keywords: эффективностьefficiencystochastic frontierстохастическая границаhealth careмедицинское обеспечениеhealth production functionpublic health care expenditureпроизводственная функция здоровьягосударственное финансирование здравоохранения
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