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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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The Systemic Risk-Uncertainty-Real Economic Activity Nexus: What is beyond Median Estimation?

Economics Letters. 2024. Vol. 235. Article 111550.
Stolbov M., Shchepeleva M., Parfenov D.

The paper investigates the lead-lag relationships among systemic risk, economic uncertainty and real economic activity for top-5 contributors to global systemic risk, the USA, China, the UK, France and Japan, during January 2010-July 2023. By decomposing these variables into a below- and above-the-median components and applying VAR models to them, we confirm the presence of asymmetric relationships among systemic risk, economic uncertainty and real economic activity. Most of these asymmetric linkages are found for the USA, followed by the UK and China.

Research target: Social Sciences Economics and Management
Language: English
DOI
Text on another site
Keywords: industrial productionuncertaintygranger causality systemic riskimpulse response functions
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