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Subject
News
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
June 17, 2026
Population Lifespan Is Governed by Mathematical Laws
Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

 

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Региональная экономика и развитие территорий : сборник научных статей. Вып. 19

Вып. 19. СПб. : -, 2025.
Kaisarova V. P., Коклев К. С.
Academic editor: Совершаева Л.

The article examines the trends in the development of territorial accessibility of public transport for the population of the largest city based on the geoinformation analysis of the spatial features of its infrastructure. The article provides a transport dynamic for the period 2015-2024 based on cluster analysis of data on individual types of transport and in the structure of 18 urban districts of St. Petersburg. The analysis of the relationship between a number of indicators of public transport using QGIS software revealed spatial disproportions. The authors propose solutions for managing territorial
transport accessibility in groups of districts and their borders for Russia's second capital.

Research target: Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: транспортная доступностьгородская инфраструктураurban infrastructuretransport accessibilityterritorial accessibilityтерриториальная доступностьthe cityconvenience of using modes of transportsocial acceptability of modes of transportкрупнейший городудобство пользования видами транспорта
Региональная экономика и развитие территорий : сборник научных статей. Вып. 19
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