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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.
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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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Structures of Authors’ Collaboration at Young Universities

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Matveeva N., Batagelj V.

There are many studies devoted to university collaboration, but little is known about the existing structure of researchers’ collaboration: which structures foster academic development and which do not. In our study, we analyze the co-authorship networks of eight leading young universities to investigate the collaboration structures of their researchers. We construct the corresponding co-authorship network for each university based on publication data from Scopus for the years 2017–2019. Our analysis includes two-mode university authorship networks, one-mode co-authorship networks, and subnetworks of authors who demonstrate the most productive collaboration. We found that the basic collaboration characteristics of leading young universities are quite similar. These universities exhibit a high level of collaboration, though the patterns of collaboration vary. The subnetwork of authors demonstrating the most productive collaboration reveals different structures based on the number of components and the geographic distribution of the authors. Our results highlight that collaboration is an important resource for leading young universities, but the collaboration structures of their authors differ significantly. Although overall collaboration is high, structural difference impact academic performance. Besides the prevalence of authors with certain types of affiliation, three collaboration models are identified: diverse collaboration, active intra-university collaboration, and active international collaboration. We discuss the risks associated with differing core compositions and propose policy recommendations based on our findings.

Language: English
DOI
Keywords: co-authorship networkScientific collaborationleading universities
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)

In book

Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI2025), Vol. 2
Matveeva N., Batagelj V. Yerevan: Publishing House of the National Academy of Sciences of the Republic of Armenia, “Gitutyun”, 2025.
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