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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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Факторы инвестиционной привлекательности российских регионов

Инновации и инвестиции. 2026. № 3 2026. С. 57–59.
Митрофанова Я. С., Веселова Ю. В., Ушакова О. А., Онгаров Н. Н.

The regions of the Russian Federation are characterized by a high degree of variation in their socioeconomic development indicators. Differences in business conditions, the availability of natural resources, and infrastructure account for the uneven distribution of investment across regions. In this regard, it is particularly interesting to examine the factors that enhance a region’s attractiveness to investors. This article analyzes the concepts of «regional investment attractiveness», «regional investment climate», and «regional investment potential». Six groups of factors influencing regional investment attractiveness are identified: economic, sociocultural, political (including the quality of public administration), technological and innovative, natural, and factors shaping the region’s image. The study identifies the distinctive features of the investment attractiveness of Russian regions. The findings may be of interest to economists, government officials, business representatives, and all specialists involved in regional development and investment policy.

Language: Russian
Text on another site
Keywords: инвестиционный климатinvestmentsконкурентоспособность регионауровень социально-экономического развития регионаИнвестицииthe region’s investment potentialthe region’s investment attractivenessthe investment climatethe region’s competitive advantagethe region’s competitivenessthe region’s level of socioeconomic developmenинвестиционный потенциал регионаинвестиционная привлекательность регионаконкурентное преимущество региона
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