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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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?

Обзор опыта решения задач транспортного моделирования в лесном хозяйстве

Вопросы лесной науки. 2021. Т. 4. № 4. Статья 92.
Подольская Е. С.

The article systematizes the experience of solving the task of transport modeling for the ground access to the forest fires and forest resources, presented by scientific and engineering works. General characteristics of transport modeling based on the Russian and foreign experience are given; the analysis of data services and Open Source developments are the topical subjects in the development of transport projects. The main attention is paid to the review of issues of transport modeling issues in the use, protection, and reproduction of forests, taking into account the current Russian regulatory documents of the forestry. We have described the geodata sources, as well as using remote sensing data of different types and spatial resolution for the transport modeling in the forestry. The works of scientific and educational institutions represent Russian research on the forest transport modeling and forest infrastructure. They have a common understanding of forest transport accessibility as a complex issue. It is noted that the interest of researchers traditionally lies in solving environmental and economic problems of modeling. It is necessary to continue the work on the modeling for the location of fire stations, cutting areas and forest warehouses for the model territories in different regions and of different forest infrastructure’s characteristics. The development of methods and technologies to balance the infrastructural load and natural stability of forest ecosystems is described as a direction for further research. Undertaken review shows some patterns of forest transport modeling as a part of forestry using modern applied geoinformatics.

Research target: Earth Sciences
Language: Russian
Full text
DOI
Text on another site
Keywords: лесные пожарылесные ресурсытранспортная доступностьлесное хозяйствоforestryGISГИСopen sourceOpen Sourceforest resourcesтранспортное моделированиеTransport Modelingtransport accessibilityforest firesground accessforest roadsназемный доступлесные дороги
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