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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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Art pricing in the emerging markets: An empirical analysis

Emerging Markets Review. 2026. Vol. 73. Article 101484.
Pimenova T., Kolycheva V., Semenov A., Grigoriev D.

Public opinion have proven to be an essential price determinant that complements many intrinsic features of a good on both developed and emerging markets. In the art market, this form of attitude expression brings the interaction between artists and art connoisseurs to a new level. In this work we investigate the impact of public opinion posted on social media on the prices of artworks from significant emerging markets, using hedonic pricing model with artists’ fixed effects. Since art is often considered as a sound alternative investment, we further analyze the interaction between public opinion and collectors’ investment intentions. We also consider moderating role of geopolitical risk index, given its importance as a macroeconomic factor for the emerging market, on the relationship between investment intentions and painting prices. We utilize a dataset of 3282 artworks of Russian and Chinese artists sold and find that public opinion significantly affects painting prices in the direction of its valence. We find empirical evidence for the moderation role of investment intentions and geopolitical risk. This study contributes to the research of emerging art markets along with price determinants of artworks.

Research target: Economics and Management Art History Media and Communications
Language: English
DOI
Text on another site
Keywords: applications of sentiment analysisart pricing
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