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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Дальность миграции населения в России с учетом демографических характеристик мигрантов

Балтийский регион. 2023. Т. 15. № 2. С. 4–22.
Karachurina L. B., Mkrtchyan N. V.

The distance of migration is closely linked to life course events, which are, in turn, marked by age. It serves as a criterion for distinguishing migration from other forms of spatial mobility. This paper aims to calculate the average distance of domestic migrations in Russia between 2011 and 2020, considering various migrant profiles such as sex, age, and type of residential registration. The Euclidean distance between 130,000 geocoded Russian settlements was computed to estimate migration distances. These geospatial data enabled us to obtain estimations of migration distances by weighting the total distance of all migrations based on their respective numbers. The distance of internal migration was similarly estimated, taking into account age, sex, and type of residential registration. The findings revealed that 31.3% of domestic residential relocations occurred within very short distances not exceeding 50 km, while 43.5% took place within 100 km of the previous place of residence. Calculating the average migration distance allowed us to identify two peaks: one at the ages of 22—23, present only for men, and another at the ages of 50—70. In all other cases, there were no sex-specific differences in migration distances. Migrants who obtained permanent registration at their new place of residence tended to cover greater distances compared to those registered only temporarily. The shortest relocation distances were associated with the age of 16, which could be attributed to prospective students moving to the nearest town where a vocational school is located.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: женщинывозрастwomenageрасстояниеmenмужчиныdistancetypes of migrant registrationвиды регистрации мигрантов
Publication based on the results of:
Демографические факторы развития человеческого потенциала в регионах России (2023)
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