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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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Влияние коронакризиса на положение различных слоев населения

Социологические исследования. 2022. № 12. С. 55–63.
Коленникова Н. Д., Slobodenyuk E.

The article is devoted to the analysis of the impact of the coronacrisis on various segments of the population. The purpose is to identify the universal and local consequences of the pandemic, as well as the sources of resistance to new challenges. For the analysis we use data from a study by the FCTAS RAS, conducted in the spring of 2021. The study showed that financial risks in Russian conditions for representatives of all social groups are universal. For disadvantaged segments of the population, for all analyzed reasons, the risks associated with obtaining stable incomes and employment are increased. They are also less likely to contract the coronavirus and make significant lifestyle changes. For prosperous Russians, the risks associated with work are significantly lower. This allowed them to quickly adapt to epidemiological restrictions, learn new skills for their work. However, the risks of contracting the coronavirus and abandoning their usual lifestyle were higher for them.

Thus, the ability to quickly adapt to new challenges in modern Russia is determined more by the quality of human potential and the level of social protection in the workplace than by the amount of income. Along with this, the potential weakening of positions under the influence of the coronavirus and the growing international tension of representatives of the upper and middle strata creates significant risks of changes in the social structure, as well as the transformation of channels and factors of social mobility.

Research target: Social Sciences
Language: Russian
Full text
DOI
Keywords: human potentialресурсообеспеченностьдоходная стратификацияincome stratificationкоронакризиспоследствия пандемииcoronacrisisaftermath of the pandemicresource endowmentsocial security in the workplaceзащищенность на рабочем месте
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