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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.
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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Туристский потенциал административно-территориальных единиц: оценка, анализ, интерпретация

AlterEconomics (ранее - Журнал экономической теории). 2024. Т. 21. № 3. С. 590–618.
Koshcheev D., Isopeskul O.

In the early 2020s, the epidemic and sanctions crisis prompted a shift in Russian external tourist flow towards the domestic market, resulting in increased interregional competition. Consequently, it has become important to identify territories suitable for economically effective tourism development. At the regional level, measuring the tourism potential of municipal districts has become a common tool for addressing this issue. However, academic literature often considers the concept of tourism potential to be subjective and contradictory, with many estimates criticized as unreliable. This paper attempts to systematize the theory and methodology for measuring Administrative Units’ Tourism Potential (AUTP). We identified six key strands of academic literature that laid the groundwork for the tourism potential concept from the late 19th century to the 1960s, as well as four modern approaches to investigating AUTP in studies published from 1960 to 2024. Our analysis proposes a periodization of knowledge on AUTP development. A key outcome of our analysis is the identification of strengths and weaknesses in contemporary approaches. Building on this, we developed our own method for analyzing AUTP that addresses these weaknesses. This new approach may serve as a foundation for creating a more refined methodology for AUTP analysis, ultimately aiming to enhance the effectiveness of regional financial allocations for tourism purposes.

Research target: Economics and Management Social and Economic Geography (including Urban and Transportation Studies)
Language: Russian
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Text on another site
Keywords: туристская дестинациятуристский потенциалtourism destinationСистемно-эволюционный подход tourism potentialAUTPsystemic-evolutionary approachtourism carrying capacityАТЕтуристская ёмкость территории
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