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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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Конкуренция между вузами и государственное регулирование

Экономическая политика. 2014. № 6. С. 137–160.
Fridman A., Вербецкий А. Д.

The paper focuses on the specifics of government regulation of higher education market in Russia. We propose a theoretical model of price competition between universities under vertical differentiation, where each university provides services in accordance with state-funded quota and sets the price for the services produced above this quota. It is shown that efficient allocation of state-funded quota between universities brings equalization of the tuition fees under identical marginal cost but it does not result in socially efficient allocation of resources. The analysis of price regulation that sets minimum tuition at the level of state-funded financing level revealed that this regulation is beneficial for the universities that had their tuition fees higher than, at the level of, or slightly below the level stated by the government. Universities with tuition fees far below this level are definitely worse off after introduction of this price floor. It is demonstrated that this price regulation does not necessarily bring an increase in social welfare.

Research target: Economics and Management
Language: Russian
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Keywords: высшее образованиеконкуренцияcompetitionequilibriumравновесиеценовое регулированиеprice regulationhigher education
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