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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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Новые методы в изучении этнически смешанных семей

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Soroko E. L.

bstract The methods are considered that were developed in the continuing studies of ethnically mixed families. The first results were published in 2014 in Demographic Review and presented at the previous conference in 2015. The main source of information is microdata of the 2010 census of population. The method of geographical decomposition and algorithms of inter-ethnic distance calculation are described. The results of analysis of mixed family formation are presented with the account of population distribution by regions of the country. The model for estimating the chances of mixed family formation is suggested for measuring the influence of non-uniform territorial distribution of different ethnicities. It allows producing decomposition of factors of mixed families into “geographical” and pure “ethnic” components. The results of calculation of the conditional “adjusted” incidence of mixed families are presented. This indicator eliminates the influence of inhomogeneity of ethnicity distribution by regions. Estimates are given for the distance between the Russians and 32 ethnicities obtained using revised aggregation algorithm for interethnic distance by sex and application of “geographical” decomposition method. The properties of “strong” mutual closeness for some combinations of ethnicities and its symmetry by sex are illustrated for the Georgians and Moldavians

Language: Russian
Keywords: национальностьethnicityAll-Russia Population CensusВсероссийская перепись населенияethnically mixed familiesэтнически смешанные семьи marital coupleinterethnic distance супружеские пары этническая близость

In book

Демографическое образование и изучение народонаселения в университетах (к 50-летию кафедры народонаселения). IХ-е Валентеевские чтения, 18-20 октября 2017 г.
Демографическое образование и изучение народонаселения в университетах (к 50-летию кафедры народонаселения). IХ-е Валентеевские чтения, 18-20 октября 2017 г.
М.: Экономический факультет МГУ им. М.В. Ломоносова, 2017.
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