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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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.

 

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Анализ качества ресурсов рыбохозяйственных водоемов (на примере Уральских озер)

Рыбное хозяйство. 2011. № 4. С. 89–93.
Kopnova E., Розенталь О.

The method of econometric analysis is proposed that allows to study the influence of water resources quality on fish productivity in water bodies of fisheries import. The system of metrics is formed that facilitates optimization of the branch activity monitoring and makes it possible to explore, guiding by existing hydrochemical and hydrobiological resources of water bodies, the factors responsible for shaping the trajectory of the branch sustainable development. Basing on these considerations, the prognostic model is proposed that can predict fish productivity with higher precision as compared with the available analog. Using the Urals lakes as an example, it is shown that currently executed poor water-management system does not allow proper resources exploitation and aquaculture planning in water bodies of fisheries import.

Priority areas: economics humanitarian
Language: Russian
Keywords: УралмониторингplanningmonitoringThe UralsLakeswater-management systemfish productivitywater bodiesозераводохозяйственное управлениерыбопродуктивностьводные объекты
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