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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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Doing class in social welfare discourses: ‘unfortunate families’ in Russia

P. 85–105.
Iarskaia-Smirnova E. R., Romanov P.

This chapter addresses the relationship between class, family and social welfare policies by analysing the construction of the identity category of ‘unfortunate families’ in popular scientific discourses, governmental policy documents and discourses of social services, and by examining how those labelled as ‘unfortunate’ negotiate this identity conferred to them. The chapter shows that gender and class are closely intertwined in the production of this identity, as it is single mothers who are primarily categorized as ‘unfortunate’. In our analysis we draw on multiple sources of data. First, we analyse in-depth and focus group interviews with service providers and clients and participant observation data from a number of Russian cities. Second, we analyse various government documents and social advertisements, mass media materials, social policy and social work textbooks, and popular scientific texts published during the 1990s-2000s.

Language: English
Full text
Keywords: социальная политикабедностьсемьяsocial policyfamilypovertyсоциальные службыsocial servicesstigmaclassmotherssocial workersстигмаклассматерисоциальные работники

In book

Rethinking class in Russia
Rethinking class in Russia
Farnham: Ashgate, 2012.
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