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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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Uncertainty, Risk and Trust: Russian and American Credit Card Markets Compared.

American Sociological Review. 2001. Т. 66. № 5. С. 625–646.
Guseva Alya, Rona-Tas A.

The strategies that Russian and American banks use to evaluate the creditworthiness of prospective credit card holders are compared. Drawing on Knight's theory of risk and uncertainty, the authors argue that uncertainty, inherent in any credit transaction, can only be reduced to measurable risk if there are institutions that create stability over time, categorize events properly, and allow for verification and accumulation of information. In the United States, the gradual evolution of institutions underpinning rational calculation permits the transformation of uncertainty into risk. In Russia, however, such institutions are absent, and a great degree of uncertainty prevails in consumer credit. Using data from original fieldwork in Moscow, this study demonstrates that when actors face uncertainty and are unable to calculate risk, they rely on trust. Russian banks use and extend their existing social ties, or in some cases build new ties. They also exploit cardholders' own networks, unrelated to the bank, to increase their accountability through anchoring. These strategies, however, keep the market embedded, limited in size, and uninsurable. The authors conclude that calculation of probabilities (and economic rationality in its formal sense) is not an innate human ability but a social capacity that exists courtesy of institutional arrangements.

Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: sociology
Language: Russian
Text on another site
Keywords: banksbank loanscredit riskbank creditconsumer creditBank accountscredit cardsBank credit cardsEconomic uncertaintyRetail banking
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