The Faculty of Humanities was created on December 1, 2014. It trains instructors and researchers in the field of language and literature, as well as specialists in philosophy, history, and modern culture.
The main goal of the faculty is to teach students how to understand and analyse various cultural processes, employ current research strategies, and effectively put their knowledge into practice.
The faculty’s staff are leading Russian academics and practitioners from various cultural fields, as well as invited foreign specialists. Students receive a modern education in the humanities, as well as thorough language preparation, which allows them to find extensive professional opportunities upon graduation. Students are given the opportunity to conduct research and gain practical experience at major private and public establishments.
Our strengths:
1. Interdisciplinary approach
We study the humanities alongside other academic fields so that students can apply their skills in various areas.
2. International cooperation
We maintain active international ties, which allows students to undertake internships and study abroad, as well as broaden their outlook and cultural experiences.
3. Research
We encourage and support student participation in research projects. This gives them an opportunity to apply their knowledge in practice and make a contribution to the development of the humanities.
Our graduates pursue careers in public and commercial organisations and various types of mass media. They also implement their own media, cultural, social, and educational projects.
News
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December 30, 2025
Impressive Growth, Dynamic Momentum, Tangible Success
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December 30, 2025
An Explosive Rise in Anxiety and Depression: Why Gen Z in Particular?
Publications
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Book
Problem Solving in Philosophy. How to Do Philosophy in the Age of Ultra-Intelligent AI
This open access book provides a method for philosophical problem solving, offering philosophers the tools to stay ahead of machine intelligence. Louis Vervoort argues that, with ultra-intelligent AI knocking at the door, philosophy can no longer rely solely on its ancient methodological toolkit. The proposed method is essentially the same as used in natural science, theoretical physics in particular, and aims at solving problems through theory-synthesis. The author shows by first case studies that current AI can already assist us in this task – a trend that will surely strengthen in the near future. After explaining the method in detail, the book proceeds by proposing unified solutions to classic problems of (analytic) philosophy, such as Gettier’s problem, the problem of induction, of causation, of the interpretation of probability, of free will. The author argues that these solutions maximise a quantitative measure of solidity, and that philosophy can now reach standards of certainty that are comparable to those of natural science. The book is written for professional philosophers, but avoids jargon, so it should also be accessible to laypeople and scientists.
Springer, 2026.
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Article
Development of Narrative Competence in Mano, Mande
This paper provides an overview of morphological and syntactic means of relating events in narratives in Mano, a Mande language of West Africa. For this study, we collected a corpus containing retellings in Mano of an animated movie, “Kirikou et la sorcière,” as well as other narratives, mostly folktales, told by children and adults. Overall, a linear mixed-effect model revealed a statistically significant effect of text type and age, with increased predicted values of entropy in free narratives as well as in older speakers. We explored the following aspects: narrative chains, connectivity, and hierarchical
organization. We compared texts based on the narrator’s age and the narrative type (narrative retelling vs. free narratives). Both factors played a role for various aspects of narrative organization. There were very few developmental or genre differences in the use of main tense forms used in the narrative chain. By contrast, connecting devices and means of hierarchical organization were used more and were more varied
in older children and adults. Hierarchical organization was also more developed in free narratives than in Kirikou retellings but means of expressing connectivity were more diverse in Kirikou retellings than in free narratives.First Language. 2026. P. 1-32.
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Book chapter
Why did Old Ethiopic cease to be a spoken language?
It is generally acknowledged that Old Ethiopic (Gəʕz) was a spoken language in the Aksumite kingdom, and that it enjoyed high status both politically and culturally. Likewise, it is generally acknowledged that Old Ethiopic ceased to be a spoken language before the Solomonic dynasty came to power. However, both the circumstances that led to its death as a vernacular and even approximate date of this event remain obscure. The present paper is an attempt to approach both questions, offering some reflections on the sociolinguistic factors which could have brought about at first, the rise of Old Ethiopic and later, its decline as a spoken language.
In bk.: From Aksum to Lalibäla. The Myth of the “Dark Ages” of Eritrean and Ethiopian History (7th–13th centuries). Napoli: UniorPress, 2026. P. 53-69.
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Working paper
You shall know a piece by the company it keeps. Chess plays as a data for word2vec models
In this paper, I apply linguistic methods of analysis to non-linguistic data, chess plays, metaphorically equating one with the other and seeking analogies. Chess game notations are also a kind of text, and one can consider the records of moves or positions of pieces as words and statements in a certain language. In this article I show how word embeddings (word2vec) can work on chess game texts instead of natural language texts. I don't see how this representation of chess data can be used productively. It's unlikely that these vector models will help engines or people choose the best move. But in a purely academic sense, it's clear that such methods of information representation capture something important about the very nature of the game, which doesn't necessarily lead to a win.arxiv.org. Computer Science. Cornell University, 2024