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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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Проектирование образовательных практик на основе многоагентного подхода

Искусственные общества. 2025. Т. 20. № 1.
Patarakin Y., Шишков М. С.

Modern educational systems are complex adaptive economic systems, and working with models of such systems allows students to better understand economic relationships and dependencies. In recent years, the framework of complex adaptive systems  has been actively used to analyze pedagogical situations. Through the prism of complex adaptive systems framework one can analyzeurban education systems, including a multitude of educational institutions interacting with each other and with the local community, where complex interactions between political decisions, funding, and educational outcomes are observed. This paper examines the transfer of skills in designing multi-agent models to the design of pedagogical practices. The study was carried out on the basis of Semantic MediaWiki, which made it possible to combine various programming environments (Snap!, NetLogo, StarLogo Nova, GAMA), models, datasets, and student works. A model of students choosing schools that differ in geographical location, tuition costs, student achievement levels, maximum capacity, and availability of public information is considered. 

Research target: Education Mathematics
Language: Russian
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Keywords: многоагентное моделированиеcomplex adaptive systemsсложные адаптивные системыNetLogoNetlogomultiagent systemSemantic MediaWikiSemantic MediaWikiStarLogo Nova
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