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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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Использование опросов-самоотчетов в экономической науке: методологические барьеры и их преодоление

Вопросы экономики. 2023. № 9. С. 103–120.
Bakeev M., Lola I. S.

The paper analyzes the history of the use of self-reports in economics in order to study the logic of overcoming methodological barriers in recent decades that previously limited the use of such data in economics. The two most widely used types of self-reported data in economics were considered: first, data on subjective expectations, intentions, and attitudes; second, data on subjective well-being, happiness, and life satisfaction. It is concluded that the main reasons for the changes can be identified as the transformations that took place in economics at the turn of the century: an increase in the prestige of applied research (the so-called “applied” turn), the fragmentation of the discipline, and a decrease in the importance of rational choice models compared to experimental and quasi- experimental methods. The prospects for the future use of self-reported data in economics are promising due to the methodological changes that have taken place, the expansion of interdisciplinary cooperation, and the rapid development of methods for collecting and processing data.

Research target: Economics and Management
Language: Russian
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Keywords: экономические исследованиясубъективное благополучиеeconomic methodologyэкономическая методологияsubjective well-beingself-reportsubjective expectationseconomic surveysсамоотчетсубъективные ожидания
Publication based on the results of:
Formation of new approaches to measuring business and consumer climate (2023)
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