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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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Systemic Stress in the EU under the COVID-19 Pandemic: the Impact of ECB Monetary Policy Decisions

P. 388–396.
Mukhametov O.

After the announcement of the COVID-19 pandemic the volatility in financial markets has increased significantly, which has caused the intensification of the systemic financial stress in the EU countries. European central bank (ECB) has taken several measures, including expanding asset purchase programs to mitigate the negative effects of the coronavirus crisis. The significant increase in asset purchases has stabilized financial markets, which returned to pre-crisis levels after a surge in volatility. This paper examines the impact of ECB extended quantitative easing on indicator of systemic financial stress in EU countries. The paper presents a panel vector autoregression (PVAR), which includes the indicator of systemic stress and the change in the balance sheet of the Eurosystem as the endogenous variables. The analysis has demonstrated that changes in the volume of asset purchases did not have a statistically significant effect on the indicator of systemic stress. However, these results can inevitably be considered only as preliminary, since a more detailed study requires a longer and more structured time series.

Language: English
DOI
Text on another site
Keywords: unconventional monetary policypanel vector autoregression systemic risk

In book

Proceedings of the Research Technologies of Pandemic Coronavirus Impact (RTCOV 2020)
Osipova O. Atlantis Press, 2020.
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