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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February 26
HSE Creates Centre for South Arabian Studies
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October 15, 2023
Conference "Formal Philosophy 2023"
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March 20, 2023
The Tsnal Lezgi spoken corpus has been published
Publications
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Book
The Philosophy of Italian Fascism: Formation & Evolution
Italian Fascism: its era has passed, yet its intellectual underpinnings remain a subject of intense scholarly debate.
In his groundbreaking monograph, Russian scholar Dmitry Moiseev delves into the heart of Fascist political philosophy using the hermeneutical method. Tracing its roots back to the 19th-century intellectual movements that seeded its emergence, Moiseev navigates through Fascism’s ideological maturation up to its eventual demise in 1945.
What philosophical doctrines fuelled the minds behind Italian Fascism? Did a distinct ‘Fascist philosophy’ exist, and if so, what were its core tenets? Moiseev’s work embarks on a meticulous exploration of these questions, uncovering the enduring ideas that shaped the convictions and policies of Fascist Italy’s thinkers.
This monograph is designed for both seasoned philosophers and those intrigued by the intellectual legacy of the 20th century’s right-wing radical movements. The Philosophy of Italian Fascism is not just an academic inquiry but a journey into the ideological foundations of one of history’s most notorious regimes.
L.: Arktos, 2024.
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Article
Testing the Continuum/Spectrum Model in Russian-Speaking Children With and Without Developmental Language Disorder
Purpose: previously, Lancaster and Camarata (2019) showed that the continuum/spectrum model of the developmental language disorder (DLD) best explained the high heterogeneity of symptoms in children with DLD. We hypothesize that the continuum/spectrum approach can include not only children with DLD but also typically developing (TD) children with different timelines and patterns of language acquisition. This model can explain individual language profiles and deficits in children.
Method: we assessed language abilities in a group of Russian-speaking children with DLD aged 4–7 years (n = 53) and their age- and gender-matched peers without speech and language diagnoses (n = 53, TD). We evaluated the children's performance at four language levels in production and comprehension domains, using 11 subtests of the standardized language assessment for Russian: Russian Child Language Assessment Battery (RuCLAB). Using the k-means cluster method and RuCLAB scores, we obtained two clusters of children and analyzed their language performance in individual subtests.
Results: the analysis revealed that the two clusters of children both included DLD and TD participants: Group 1, with higher test scores (TD = 45, DLD = 24 children), and Group 2, with lower scores (TD = 8, DLD = 29). Children from Group 1 mostly had lower scores at one of the language levels, whereas those from Group 2 struggled at several language levels. Furthermore, children with DLD from both groups tended to be more sensitive to linguistic features such as word length, noun case, and sentence reversibility compared to TD children.
Conclusions: the presence of two mixed groups shows that children with diagnosed DLD could perform on par with TD children, whereas some younger TD children could perform similarly to children with DLD. Our findings support the continuum/spectrum model: Linguistic skills in preschool children are a continuum, varying from high to poor skills at all language levels in comprehension and production. To describe a child's language profile, the tasks assessing all language levels should be used.
Journal of Speech, Language, and Hearing Research. 2024. P. 1-17.
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Book chapter
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Working paper
Dynamic Epistemic Logic of Resource Bounded Information Mining Agents
Logics for resource-bounded agents have been getting more and more attention in recent years since they provide us with more realistic tools for modelling and reasoning about multi-agent systems. While many existing approaches are based on the idea of agents as imperfect reasoners, who must spend their resources to perform logical inference, this is not the only way to introduce resource constraints into logical settings. In this paper we study agents as perfect reasoners, who may purchase a new piece of information from a trustworthy source. For this purpose we propose dynamic epistemic logic for semi-public queries for resource-bounded agents. In this logic (groups of) agents can perform a query (ask a question) about whether some formula is true and receive a correct answer. These queries are called semi-public, because the very fact of the query is public, while the answer is private. We also assume that every query has a cost and every agent has a budget constraint. Finally, our framework allows us to reason about group queries, in which agents may share resources to obtain a new piece of information together. We demonstrate that our logic is complete, decidable and has an efficient model checking procedure.arxiv.org. Computer Science. Cornell University, 2024