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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.
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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Heritability of Functional Literacy: Evidence from a Classical Twin Design

Behavior Genetics. 2026. Vol. 56. No. 4. P. 153–168.
Kolachev N., Kovaleva G.

Functional literacy—the ability to apply reading, mathematical, and scientific knowledge in authentic contexts as operationalized by the PISA framework—is a key predictor of educational attainment, labour-market outcomes, and economic growth. Despite extensive behavioral-genetic research on cognitive ability, the heritability of competency-based literacy measures remains largely unexamined, particularly outside Western populations. The present study addresses this gap by providing the first twin-based heritability estimates for PISA-type functional literacy from Russia. Participants were 114 twin pairs (50 monozygotic [MZ], 64 dizygotic [DZ]; age 14–15) identified within a nationally representative sample of 33,050 eighth-grade students assessed on the Russian Electronic School platform. A bifactor item-response theory model derived scores for a general cognitive ability factor and three domain-specific factors (mathematical, reading, and scientific literacy). Classical twin structural-equation modelling decomposed phenotypic variance into additive genetic (A), shared environmental (C), and non-shared environmental (E) components. The AE model provided the best fit across all phenotypes. Heritability estimates were substantial: functional literacy = 0.76 [95% CI: 0.67–0.85], mathematical literacy = 0.72 [0.59–0.84], reading literacy = 0.69 [0.56–0.82], and scientific literacy = 0.71 [0.59–0.82]. Shared environmental contributions were negligible and non-significant in all models. The twin sample was broadly representative of the source population, with only small mean differences in functional and mathematical literacy. These findings extend the behavioral-genetic architecture of cognitive ability to competency-based assessments and demonstrate its robustness in a non-Western educational context. Limitations include modest sample size, photo-based zygosity assignment, and absence of molecular genetic data.

Research target: Psychology Education
Language: English
DOI
Keywords: intelligencereading literacytwin studyscientific literacy functional literacymathematical literacy
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