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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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Методология современных лонгитюдных исследований чтения

Отечественная и зарубежная педагогика. 2026. Т. 1. № 3(115). С. 6–20.
Bakay E., Antipkina I., Kuznetsova M. I.

The article analyzes the challenges and prospects of longitudinal research in the field of reading. It examines the systemic limitations of classical longitudinal designs: the problem of unobserved variables, causality, and violations of metric invariance, which lead to erroneous or incomplete interpretation of results. The transition to hybrid research designs is substantiated as a promising direction for the development of longitudinal studies. Drawing on international and Russian longitudinal studies of reading, it is shown how the integration of the longitudinal approach with modern statistical methods for processing results and analyzing digital footprints enhances the reliability of the conclusions drawn. The scientific novelty lies in demonstrating the evolution of research tools from classical longitudinal studies to comprehensive models of longitudinal research. The results of the study indicate that modern hybrid designs form a methodological basis for evidence-based educational policy in the development of reading literacy

Research target: Education
Language: Russian
Full text
DOI
Keywords: читательская грамотностьчтениелонгитюдные исследованияreadinglongitudinal studyдоказательный подходreading literacy
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