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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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Финансовые параметры доступности жилья в Санкт-Петербурге

Финансы и бизнес. 2023. Т. 19. № 2. С. 74–84.
Smirnova E.

The article considers the basic criteria for measuring housing affordability: the term of accumulation, the ratio of income to payment, as well as the share of the population to which mortgages are available in the primary market. An analysis of the dynamics of financial parameters of housing affordability in the region in 2019-2022 is being carried out, accessibility indicators are calculated based on median income. An assessment of the purchasing power of a mortgage housing loan in St. Petersburg on medium-market conditions has been given: today, on the market of new buildings, you can purchase 25 square meters of housing with a loan of 5 million rubles, and three years earlier 3 million rubles were enough. The distorted price structure under the influence of mortgages from developers with low rates and its consequences for the development of the real estate market are discussed. The possibility of expanding state support for housing affordability and rental relations was noted.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: доступность жильяипотекарынок недвижимостиmortgagereal estate markethousing affordability
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