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  • Цифровые следы населения как источник данных о миграционных потоках в российской Арктике
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August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.
August 18, 2026
HSE Scholar Presents Research on Postcards in Brazil and South Korea
Timur Khusyainov, Deputy Dean of theFaculty of Humanities atHSE University–Nizhny Novgorod, took part in two international conferences—the XVI World Congress of Rural Sociology in Porto Alegre, Brazil, and the 36th Annual Conference of the Alliance of Digital Humanities Organisations (DH2026) in Daejeon, South Korea. On his way to the conferences, the researcher also visited several other places, where he presented the experience of the Pochtovoe educational project.

 

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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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Keywords: социальные сетимиграцияsocial networksmigrationРоссийская Арктикаtransport networkтранспортная сетьмиграционные потокицифровизацияRussian Arcticmigration flowsцифровые следыdigitalizationdigital traces
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