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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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Happiness and the city: an empirical study of the interaction between subjective well-being and city satisfaction

Journal of Place Management and Development. 2016. Vol. 9. No. 3. P. 313–330.
Potapov D., Bozhya-Volya A. A., Shafranskaya I. N.

This paper introduces and applies an assessment method designed to measure city satisfaction in relation to the subjective perception of individual well-being. A structural model of residential satisfaction assessment is developed. To test the model, we have carried out an empirical research study, employing a representative sample (1636 respondents) of the residents of Perm, a large Russian city. We demonstrate both the direct and indirect influence of satisfaction with urban services, respondents’ individual characteristics, life satisfaction, and happiness on overall city satisfaction. Moreover, we attempt to explore the causality between subjective well-being and city satisfaction. Our approach is aimed to provide local policy makers with a more refined tool for decision making in urban policy, which could be of great importance as far as the city authorities need to set up priorities in urban management, especially under the pressure of limited budgets. The results allow for the illustration of the cumulative and hierarchical nature of city satisfaction, and highlight the relation of various life and urban domains and their influence on happiness, life satisfaction and city satisfaction.

 

Research target: Economics and Management
Priority areas: management state and public administration
Language: English
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Text on another site
Keywords: субъективное благополучиеудовлетворенность жизньюhappinessresidential satisfactionструктурная модель счастьеcity satisfactionlife satisfactionpath modelудовлетворенность городом
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