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Subject
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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Оценка снижения эффективности российских компаний от ухода зарубежных вендоров ИТ-продуктов

Вопросы экономики. 2023. № 8. С. 100–122.
Naidenova I. N., Teplykh G.

The current study aims to evaluate losses in the efficiency for Russian firms from the departure of foreign vendors based on data covering the activity of 6 thousand companies over 15 years (2007—2021). Modeling within the production function approach revealed that Russian firms, on average, are approximately equally dependent on domestic and foreign digital products, that indicates a moderate level of risk. At the same time, the influence is very heterogeneous. Foreign products have a non-linear (decreasing) effect, while Russian products have a linear impact. The returns to IT and the risk of loss in the efficiency vary greatly over time and across industries. Summarizing different results, we assume that the Russian economy could maintain efficiency in the short term; however, the departure of foreign vendors creates significant threats to its long-term development.

Research target: Economics and Management
Language: Russian
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DOI
Text on another site
Keywords: ITeconomic sanctionsэкономические санкцииэффективность компанииfirm efficiencyцифровые продуктыdigital productsvendorИTвендор
Publication based on the results of:
Intellectual Capital of an Organization: Human Resource Management Practices and Knowledge Sharing (2023)
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