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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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Оценка и анализ туристского потенциала административно-территориальных единиц: подход прогнозных значений

M. : ИНФРА-М, Группа компаний, 2027.
Koshcheev D., Isopeskul O.

государственным служащим.

The monograph presents the results of a comprehensive analysis of the evolution of research related to the assessment of the tourist potential of administrative-territorial units (ATUs) from 1882 to 2024. For the first time, scientific schools are identified, and the author's approach to predictive values and a methodology for the quantitative assessment of the tourist potential of ATUs are developed, addressing the problems of subjectivism and the assessment of the future through the present. A computer program, the "Tourist Potential Calculator," is proposed for automating calculations and generating recommendations for tourism policy. The methodology has been successfully tested on the case of Perm Krai. It is addressed to specialists in the field of tourism, researchers, educators, graduate students, undergraduate students, and civil servants.

Research target: Economics and Management Social Sciences
Language: Russian
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Keywords: туризмтуристская дестинацияэкономика туризматуристский потенциалtourism economics tourism potentialpredictive values approach tourismподход прогнозных значений
Оценка и анализ туристского потенциала административно-территориальных единиц: подход прогнозных значений
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