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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
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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Block by block: a bibliometric analysis of blockchain in real estate

Journal of information systems engineering & management. 2023. Vol. 8. No. 2. Article 21498.
Wang F.

Blockchain technology is a novel and disruptive innovation that has the potential to transform various industries, such as finance, supply chain, and healthcare. However, the application and impact of blockchain technology in real estate remain largely unexplored. This study aims to investigate the characteristics, development, and structure of the research field of blockchain in real estate using bibliometric analysis. The study analyzes 352 publications indexed by the Web of Science database from 2016 to 2022 using different methods and tools, such as descriptive statistics, network analysis, co-citation analysis, and co-word analysis. The results show that blockchain in real estate is an interdisciplinary and rapidly growing research area that covers various topics and applications. The study also identifies the most influential publications, authors, journals, and countries in this field, as well as the main research themes and gaps. The study discusses the implications and contributions of the bibliometric analysis of the blockchain in real estate research and practice and suggests directions for future research on this topic.

Research target: Economics and Management Engineering and Technology Computer Science
Language: English
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DOI
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Keywords: недвижимостьбиблиометрический анализ real estateBlockchainbibliometrics analysisWeb of Science DatabaseБлокчейнБаза данных Web of Science
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