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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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В мозаике общества: исследование социально-демографических характеристик агентного населения

Мониторинг общественного мнения: Экономические и социальные перемены. 2026. № 1. С. 182–207.
Koreshnikova Y., Afanaseva I., Solominova D.

The study presented in this article aims to create a socio-demographic profile of the agentic individual. By "agency," the authors define a person's ability to act as an active participant in changing the environment, rather than passively following it. The authors believe that the demand for such qualities is heightened in a highly volatile world. To achieve this goal, two sample surveys of the Russian population were conducted using a representative sample. The first was conducted using face-to-face, semi-structured interviews conducted using tablets (2,000 people, September 2023). The second was conducted using an online survey (4,001 people, October 2023). Data analysis revealed that women exhibit the greatest initiative at the age of 35-44, while men exhibit the greatest initiative at the age of 25-34. The majority of study participants who demonstrated initiative in at least one area reside in large cities of the Central Federal District. The highest proportion of people demonstrating agency was found in groups with secondary vocational or higher education. Men living alone or in families of five or more demonstrated the highest levels of agency, while the highest percentage of women exhibiting agency was found in families of four. The data also showed that per capita income increased with increasing levels of agency.

Research target: Sociology (including Demography and Anthropology Other social sciences Education
Language: Russian
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Keywords: социальные структурыfamilyблагосостояниеindependenceсамостоятельностьсоциально-демографические характеристикиagencyагентностьinitiativeинициативностьsocio-demographic characteristics social structure семья well-being
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