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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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Взросление в провинции: через ответственность за других к ответственности за себя

Мониторинг общественного мнения: Экономические и социальные перемены. 2023. № 6. С. 58–81.
Kravtsova A., Kuziner E.

The focus of this article is the interpretations about growing up and growing up among citizens of small and large cities in Russia. The authors mainly analyze the features and markers of growing up in cities with a population of up to 200 thousand people (on the example of Belorechensk, Vyborg and Kamensk-Uralsky) with the age of 28-33 years and 38-4 years. Further, using data based on previous article [Kravtsova, Kuziner, 2022], common features and differences in the idea of ​​adulthood among the older group of millennials in cities and towns are revealed. Scholars explore growing up from the point of view of ideal-typical (society's expectations) and individual (one's own interpretation) models of growing up. By ideal-typical, we mean the generally accepted model of growing up - coming of age, an impeccable education, starting a career, getting married, starting a family. An individual model the own perception of one's age and stage of life. The authors come to the conclusion that from among the major representatives in the representation of the older millennials of cities and towns is the definition of "responsibility" as an adult category. Residents of cities should first be responsible for themselfs, while responsibility for their families and children are the main feature of the adulthood for the residents of the provinces.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: взрослениеemerging adulthoodtransition to adulthoodgrowing upмодель взрослениятранзиция во взрослостьпереход во взрослостьмаркеры взросленияmodels of growing upmarkers of adulthood
Publication based on the results of:
Transition to adulthood among Russian youth in the 21st century: generational analysis (2022)
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