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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.
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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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Simulation Model Validation Based on Ontological Engineering Methods

P. 237–244.
Zamyatina E., Denis Churin, Lanin V., Lyudmila Lyadova, Matta N.

A task of the simulation models examination (verification and validation, V&V) is considered. At the V&V process the correspondence degree of the simulation model created by developers to the simulated object, that description is presented in the form of a conceptual model built by customers, is determined. An ontological approach is proposed to determine the semantic proximity of the simulation model and the conceptual model, whose descriptions are presented in the form of ontologies. Matching rules can also be defined with ontology based on the metrics chosen by the customer. The approach has been tested using the simulation system Triads. The results of the matching algorithm execution are illustrated by an example. The article provides description of the simulation model ontology created in TriadNS and conceptual model ontology, developed with MASK method. The metrics used for proximity assessment are described.

Language: English
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Keywords: simulation modelVerification ValidationOntology Matching

In book

Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 2) KEOD
Vol. 2: KEOD. , SciTePress, 2022.
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