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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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Генезис и семантический кризис новизны

Социологическое обозрение. 2025. Т. 24. № 2. С. 164–189.
Khestanov R., Suvalko A.

The article examines the genesis of the concept of novelty and argues that modern difficulties in defining and identifying the new are a symptom of a semantic crisis, which is based on the loss of strategic normativity of novelty in modern culture. Three historical-semantic models of novelty are identified and analyzed: cyclical (characteristic of prehistoric societies), invented (peculiar to the modern era), and routine (reflecting modern trends). In the cyclical model, novelty and the ways of representing time were subject to strict control, and the future was interpreted through ritualized myth. The invented novelty model, which combined two perspectives on the origin of novelty — reproduction and combination — affirmed the value of rationally constructing the future. The routine model of novelty is characterized, on the one hand, by the algorithmization of the generation of the new, on the other hand, by the normativization of novelty in all spheres of modern man’s activity. The paper demonstrates how, in the context of digital culture, there is a transformation in the ways of identifying the new through discretization, combinatorics, and externalization of psycho-social existence in “aesthetically charged environments.” Particular attention is paid to the analysis of algorithmic forecasting which, unlike statistical prognostics, does not so much predict as shape the future. The research shows that the semantic crisis of novelty reflects fundamental changes in the temporality of contemporary culture and requires rethinking the role of novelty in the digital age.

Research target: Other Humanities Other social sciences
Language: Russian
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DOI
Text on another site
Keywords: креативностьновизнакомбинаторикатемпоральностьcreativitytemporalitycombinatoricsалгоритмизацияnoveltyalgorithmizationдискретизацияdiscretizationэстетически заряженная средаstrategic normativityaesthetically potent environmentстратегическая нормативность
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