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Subject
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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Do high stakes and competition undermine fair behaviour? Evidence from Russia

Journal of Economic Behavior and Organization. 2014. Vol. 108. No. December. P. 354–363.
Fehr E., Tougareva E. V., Fischbacher U.

This paper reports the results of a series of competitive labour market experiments in whichsubjects have the possibility to reciprocate favours. In the high stake condition subjectsearned between two and three times their monthly income during the experiment. In thenormal stake condition the stake level was reduced by a factor of ten. We observe that bothin the high and the normal stake condition fairness concerns are strong enough to outweighcompetitive forces and give rise to non-competitive wages. There is also no evidence thateffort behaviour becomes generally more selfish at higher stake levels. Therefore, our resultssuggest that fairness concerns may play an important role even at relatively high stakelevels.

Research target: Psychology Economics and Management
Priority areas: economics
Language: English
Full text
DOI
Keywords: справедливостьreciprocityfairnessмотивыincentivesCompetitive marketsконкурентные рынкиStake sizeвзаимообразностьразмер ставки
Publication based on the results of:
Economic, institutional and personal motives for prosocial behavior: an experimental study (2015)
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