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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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Региональная дифференциация показателей человеческого потенциала

Экономика региона. 2015. № 4. С. 185–196.
Ulyanov V. V., Локосов В. В., Рюмина Е. В.
The purpose of the article is the interregional analysis of human potential. In comparison with the quality of life of the population, the quality of population itself is studied far less. The article presents an expanded characteristic of human potential in seven directions: economic activity, demographic processes, physical health, cultural potential, social health, educational potential and the attitude of the population to the environment. On the basis of statistics for 2008–2012 years, 63 indicators of human potential for all directions are selected. In the final result, the correlation analysis has led to the substantiation of the system of indicators consisting of 10 indicators. Three economic and seven social indicators characterizing human potential are included into this system. On the basis of the indicators by means of hierarchical agglomerative methods of cluster analysis, a classification of the Russian regions is carried out in two versions: with economic indicators and without them. The result of the calculations is a stable temporal typology of regions by indicators of human potential covering 74.4 % of the population of Russia. The article provides a substantial interpretation of dividing regions into groups, identifies the strengths and weaknesses of each cluster, shows the specific features of the regions included into the clusters. The obtained results can be used in the development of measures for the reduction of the interregional inequality in terms of human potential. It is possible to define what measures can be effective by studying the strategic directions of the development of regions in the cluster which is the most successful regarding the characteristics of human potential.
Priority areas: sociology
Language: Russian
Full text
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Keywords: человеческий потенциалcluster analysisкластерный анализчеловеческие ресурсыhuman resourceshuman potentialsocial indicatorsтипология регионовquality of populationtypology of regionsкачество населениясоциальные показатели
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