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Faculty of Humanities

 

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.

Publications

  • Book

    Moiseev D.

    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.

  • Article

    Мелентьев Д. В.

    What was Hujum?

    It is still believed that the campaign for the «practical emancipation» of Muslim women in Central Asia, or Hujum, proved successful and forever changed the social and cultural history of the region. Muslim women finally gained civil and political rights, and they joined the ranks of various Soviet educational institutions and state-owned enterprises in large numbers. The researchers agree in the representations of Hujum as an uncompromising struggle of the European Communists against the veil, which was for them a symbol of «household remnants» and an artifact of the «backwardness» of the indigenous population. In addition, historians emphasize that Hujum was carried out by cruel methods and was a «compulsion to freedom». The present study is devoted to the revision of such representations of Hujum in historiography. The article is based on a wide range of Russian-language sources created mainly by European women employees of women's departments. Some sources are being introduced into scientific circulation for the first time. The article critically examines the role of Muslim communists, court and police officers during the Muslim women emancipation in the 1920s, which in Soviet historiography were positioned as the major defenders of women during Hujum. Paid special attention to women's departments, which, unlike the Bolshevik party or the «Jadids», have not yet become an object of study in historiography and have not been positioned as one of the main actors in the emancipation of Muslim women. The women's departments methods of work are highlighted in detail and thus is questioned the conclusion that they tried to «force Muslim women to freedom». In addition, the article examines the period after Hujum, which was ignored by the scholars. In the sources, in particular in document management, journalism and memoirs of women's department employees, it was called «Retreat». During the study, it was found that Hujum turned out to be an unsuccessful campaign, which was immediately recognized by women's department employees and high-ranking Central Asian officials. Hujum destroyed the women's departments and the entire infrastructure of emancipation. The Soviet government failed to eliminate gender inequality, as well as the religious worldview that legitimized the patriarchal social and everyday life of the indigenous population in Central Asia.

    Bulletin IICAS. 2024. Vol. 37. No. 1.

  • Book chapter

    Chernyavskiy A., Ostyakova L., Ilvovsky D.

    GroundHog: Dialogue Generation using Multi-Grained Linguistic Input

    Recent language models have significantly boosted conversational AI by enabling fast and cost-effective response generation in dialogue systems. However, dialogue systems based on neural generative approaches often lack truthfulness, reliability, and the ability to analyze the dialogue flow needed for smooth and consistent conversations with users. To address these issues, we introduce GroundHog, a modified BART architecture, to capture long multi-grained inputs gathered from various factual and linguistic sources, such as Abstract Meaning Representation, discourse relations, sentiment, and grounding information. For experiments, we present an automatically collected dataset from Reddit that includes multi-party conversations devoted to movies and TV series. The evaluation encompasses both automatic evaluation metrics and human evaluation. The obtained results demonstrate that using several linguistic inputs has the potential to enhance dialogue consistency, meaningfulness, and overall generation quality, even for automatically annotated data. We also provide an analysis that highlights the importance of individual linguistic features in interpreting the observed enhancements.

    In bk.: Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024). Association for Computational Linguistics, 2024. P. 149-160.

  • Working paper

    Dolgorukov V., Gladyshev M., Galimullin R.

    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

All publications