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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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К проблеме смысла в социальной семиотике: глубокая семиотика как концептуальное расширение социальной семиотики

Слово.ру: балтийский акцент. 2018. Т. 9. № 4. С. 15–26.
Tulchinskii G. L.

Semiotic systems are closely associated with social practices, within which the former record, store, and disseminate social experience. These systems affect the human consciousness to change the semantic picture of the world, behaviour, and the way one perceives reality. Almost all cultural artefacts perform the function of a sign. As a semiotic system develops, special signs emerge to replace the artefacts by denoting them. Iconic signs are based upon
resemblance, index signs upon a causal relationship, and symbols on social conventions. Language is the most important system of symbolisation. Indeed, language serves as a guide to the systems of rules, values, and socio-cultural practices. In this paper, I present a model of deep semiotics, which is interpreted as a semantic structure of social experience objectified into a sign. This structure includes the material form, the referential meaning, and the personal meaning (attitudes and experiences) of the sign. This model describes the levels and dynamics of the assimilation and subjectification (de-objectification, understanding) of social experience. At the same time, the model demonstrates the objectification of experience. The components of the semantic structure represent the levels of understanding – identification, referencing, interpretation, evaluation, and empathy.

Research target: Media and Communications Philology and Linguistics Philosophy, Ethics, and Religious Studies Other Humanities
Priority areas: humanitarian
Language: Russian
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Keywords: социальный опытгерменевтикаосмыслениеглубокая семиотикаhermeneuticsсмыслообразованиеsocial experiencesunderstandingсоциальная семиотикаobjectificationdeep semiotics social semioticsmeaning formationвоплощение
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