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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
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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.
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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Роли локальной идентичности в сопротивлении реновации: кейс района Свиблово в Москве

Городские исследования и практики. 2023. Т. 7. № 4. С. 68–86.
Pereyaslavtsev D.

This paper explores the effects place image has on the place identity of residents of Sviblovo district in Moscow protesting the renovation program. Sviblovo was chosen as an example because of the abundant protests against Moscow’s renovation project from 2017 to this day. The main methodology used is the semantic analysis of social network and petition texts using NLP algorithms. The patterns observed are then supported with mass media and other research material. The results show a correlation between urban conflicts and place image mobilization in the texts and everyday speech of protesters. For example, a place is more frequently described in terms of its natural or constructed features, when the same group of images were used to defend the place in urban protest activities. The patterns can also be seen in a retrospective analysis of the everyday communication of Sviblovo residents and other urban conflicts that took place in the district. Further research which includes a larger sample of districts is needed in order to confirm the findings.

Language: Russian
DOI
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Keywords: локальная идентичностьобработка естественного языкаобраз местагородские конфликтыplace identityNatural Language Processing (NLP)place imageurban conflicts
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