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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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.

 

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Designing an AI Expert of Educational Programmes in Higher Education

P. 11–14.
Davlatova M., Kseniia Shalom, Kobtseva A.

The paper is devoted to the development of a methodology and a prototype of an AI expert for the comprehensive evaluation of higher education programmes in the context of digital transformation and the active development of artificial intelligence. The use of traditional approaches to education quality assurance (accreditation, internal audit), on the one hand, requires a large amount of manual work and financial resources and, on the other hand, lacks opportunities to conduct predictive or research expertise. The authors propose an optimisation of AI-based expertise procedures to automate data analysis, reduce time and financial costs, and increase the objectivity of evaluation. The methodology is based on an adapted model of expertise that comprises three components: declaration, perspective, and reality. The paper presents terms of reference for developing the AI expert prototype.

Language: English
DOI
Text on another site
Keywords: quality of educationAI higher educationexpertise of educational programmesAI expert

In book

2025 5th International Conference on Artificial Intelligence and Education (ICAIE)
Suzhou: Institute of Electrical and Electronics Engineers Inc., 2025.
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