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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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Социальный капитал студентов сквозь призму социальных сетей: анализ структуры и ключевых акторов

Вопросы образования. 2016. № 3. С. 59–79.
Krekhovets E., Poldin O. V.

Social capital of students is an important resource developed in the university, along with professional competencies. We analyze friendship and study help networks among first-year students, examine network structures, calculate network parameters and correlations between them. Student relations in different programmes are identical in nature, which is proved by similar structures of both friendship and help networks. We identify statistically significant correlations between network parameters of outcoming and incoming interpersonal ties, as well as between academic performance and peer network status. Friendship ties are more numerous, stable and reciprocal than study help ones. Each network has students who hold the key positions in terms of mediation and popularity. Academic performance is a significant factor affecting student status in study help networks. We suggest that students holding the key positions in both mediation and popularity enjoy the best opportunities for using their social capital.

Research target: Education
Priority areas: economics
Language: Russian
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Keywords: социальный капиталсоциальные сетивысшее образованиепопулярностьsocial capitalsocial networksпосредничестводружбаmediationpopularityFriendship networks of studentscentralityцентральностьhigher educationstudy help networksпомощь по учебе
Publication based on the results of:
Institutional Determinants of Agent Behavior in Various Markets (2016)
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