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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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Арктические активы - от масштаба к трансформности

ЭКО. 2021. Т. 51. № 1. С. 8–39.
Krukov V. A., Mezhidova D.

The article explores the problems of determining and changing the composition of the assets that provide economic and social development of the Arctic zone (AZ) of the Russian Federation. The authors use an approach that combines particular features of two different concepts. The first one was used to assess the assets mainly used for the development of natural resources. In contrast, the second one refers to the assets, related to the activities and lifestyle of indigenous peoples of the North and the Arctic.

On the one hand, economic assets of the AZ traditionally are characterized by the unique properties of natural resources and site characteristics (economies of scale). On the other hand, one of the immanent elements of the assets of the peoples, living in the North and Arctic regions, was considered to be the so-called "transformity". The latter refers to spatial dispersion of assets, flexibility and adaptability of applied knowledge and practices that ensure harmonious relationships with the environment and unique natural objects. The authors' approach assumes the shift from the "economies of scale " in its pure form to the formation of economic assets that combine the best modern high-tech solutions and the quality of transformation inherent in the traditional economic activities of the peoples of the North and the Arctic.

Research target: Economics and Management
Priority areas: economics
Language: Russian
DOI
Keywords: экономическая деятельностьАрктикаактивыArcticeconomic activityэффект масштабаeconomies of scaleasset specificityspatial and climatic featuresforms of interaction between economic agentsasset transformityспецифичность активовучет пространственных и климатических особенностейформы взаимодействия экономических агентовтрансформность активов
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