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  • Цифровые следы населения как источник данных о миграционных потоках в российской Арктике
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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

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Цифровые следы населения как источник данных о миграционных потоках в российской Арктике

Демографическое обозрение. 2022. Т. 9. № 2. С. 42–64.
Smirnov A.

The digitalization of the economy and public life has expanded the possibilities of studying the population using digital traces – information that accumulates in the digital environment. Using digital traces, the article explores the migration of the population of the Russian Arctic, a huge macro-region that has experienced a significant outflow of population over the past decades. The text summarizes the experience of using digital traces in demographic research and formulates their strengths and limitations. Data from several digital platforms were used to study the population of the Russian Arctic. An analysis of the profiles of users of the social network VK.com made it possible to study the migration movements of the population of the Russian Arctic, and the data of the ticket service Tutu.ru provided information on air and rail movements. Using network analysis methods, the author studied migration and transport flows in the Russian Arctic at the municipal level. The article defines the features of migration and transport networks in the Arctic: low density, large distances between nodes, high relative mobility with small volumes of movements in absolute terms, a high proportion of hubs in migration exchange. The author identifies migration hubs and clusters, and migration flows are classified according to the directions of movement and types of municipalities. The text shows that the connectivity of the Arctic territories among themselves remains low, and the positive migration balance is mainly in regional capitals or cities outside the Arctic. The results of the study will improve the understanding of migration processes in the North and the Arctic, as well as the quality of demographic forecasts through more accurate modeling of migration flows.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Text on another site
Keywords: социальные сетимиграцияsocial networksmigrationРоссийская Арктикаtransport networkтранспортная сетьмиграционные потокицифровизацияRussian Arcticmigration flowsцифровые следыdigitalizationdigital traces
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