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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
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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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Типология результатов сотрудничества российских вузов с бизнесом

Высшее образование в России. 2024. Т. 33. № 11. С. 108–131.
Melikyan A.

  Development of high-tech industries is an important task for the Russian economy, the solution of which requires the joint efforts of educational, research and production organizations with the governmental support. Nowadays significant results have been achieved in the field of cooperation between universities and business. Their systematization and analysis will make it possible to determine both the most effective areas of interaction and those requiring further development.

   The purpose of the research presented in the article is to identify typical models of cooperation between universities and business based on analyzing the results of their scientific and educational interaction.

   To realize it, clustering of Russian universities was carried out. The cluster analysis identified 6 groups of universitates, each of which has specific features. Universities in the first two clusters are focused on commercializing income from R&D. Universities of cluster 1 are distinguished by a high share of extra-budgetary income from R&D, and from cluster 2 are distinguished by high extra-budgetary income from R&D based on the number of academic staff members. Universities from cluster 3 have high results of joint publication activities with business companies. In universities from clusters 4 and 5 educational cooperation with business is more developed. Universities from cluster 4 have an extensive network of partnerships with enterprises to organize internships for students. Universities from cluster 5 actively cooperate with business to train specialists on a contractual basis. Cluster 6 includes universities that have low results in all areas of cooperation with business. The results of the study demonstrate the main approaches of universities to interact with business companies. The research task was implemented for the first time on a representative sample of Russian universities based on an analysis of the quantitatively assessed results of their cooperation with business. The article may be of interest to universities aimed at developing partnerships with business companies, as well as government authorities developing projects to support university-industry interaction. Support measures could become more diversified, considering the specific features of each cluster, and be aimed at stimulating the development of priority areas of cooperation with business for a particular university.

Research target: Education
Language: Russian
DOI
Text on another site
Keywords: research projectsнаучно-исследовательские проектыuniversity clusterseducational cooperationобразовательное сотрудничествоtriple helix modelresearch fundingмодель тройной спираликластеры вузовсотрудничество вузов и бизнесафинансирование научных исследованийuniversity-business cooperationquadruple helix modelinternships for studentsмодель четверной спиралипрактики и стажировки студентов
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