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Regular version of the site

Faculty of Humanities

 

News

The International Laboratory 'Russia’s Regions in Historical Perspective' has recently signed an agreement with the State Archive of the Vladimir Region

The International Laboratory 'Russia’s Regions in Historical Perspective' has recently signed an agreement with the State Archive of the Vladimir Region
The International Laboratory 'Russia’s Regions in Historical Perspective' has recently signed an agreement on cooperation with the State Archive of the Vladimir Region

Digitized Archives Are a Great Treasure

Fyodor Dostoevsky.  Notebook, 1870–1871. From the manuscript collections of the Russian State Library
Digital archives and electronic versions of manuscripts are essential to the work of modern-day philologists, linguists, and literary scholars. The possibilities that digitization opens up to researchers were the focus of the second international conference of early career researchers of Russian literature. The conference had the theme of ‘Text as DATA: The Manuscript in the Digital Space’ and was hosted by the HSE Faculty of Humanities.

New Book by Vladimir Kantor

New Book by Vladimir Kantor
In April 2021, the publishing house "Center for Humanitarian Initiatives" published a book by V. K. Kantor, head of the International Laboratory for the Study of Russian and European Intellectual Dialogue

"African American poetry illustrates human suffering, reminiscent of the romantics"

Before the seminar "Selected African American Poets from Harlem Renaissance to Our Present Time" as part of the project Colloquium+, Professor Alexandra Nagornaya interviewed Professor Yasser K. R. Aman.

The 6th Russian Comics Conference “The World of Comics” (video)

The 6th Russian Comics Conference “The World of Comics” (video)
On March 19-20, 2021, the 6th Annual Russian Comics Conference “The World of Comics” (Mir Komiksov) was held in online format, organized by the Institute for Oriental and Classical Studies of the National Research University 'Higher School of Economics'.

3D-Modelling Helps Read Ancient Russian Inscriptions of the 12th and 13th Centuries

3D-Modelling Helps Read Ancient Russian Inscriptions of the 12th and 13th Centuries
Using 3D-modelling, researchers of HSE and the Institute of Slavic Studies of the Russian Academy of Sciences (RAS) have restored and deciphered an ancient literary monument of North-Eastern Ancient Rus — inscriptions about the murder of Prince Andrey Bogolyubsky written in 1175–1176 on a wall of the cathedral in Pereslavl-Zalessky. The study was published in Slověne = Словѣне. International Journal of Slavic Studies.

‘Mandelstam Street’ Exhibition Opens at the State Literature Museum with Support of HSE University

‘Mandelstam Street’ Exhibition Opens at the State Literature Museum with Support of HSE University
On March 16, the HSE Madelstam Centre together with Vladimir Dal State Literature Museum opened a museum dedicated to poet Osip Mandelstam and his wife Nadezhda. Below, HSE News Service talks about the exposition ‘Mandelstam Street: Osip and Nadezhda’.

Studying the Middle Ages Is Fascinating

An illustration from the E codex of the Cantigas de Santa Maria
The recently launched Master's Programme in Medieval Studies is the only Master’s degree in Russia fully dedicated to medieval studies. HSE News Service spoke with Juan Sota, a second-year student of the programme, about its unique features, interacting with professors, and his research interests and aspirations.

Teaching Quality Assessment 2020-2021. Module 3.

Till March 28, 2021 HSE students will have an opportunity to assess the quality of their teachers’ work.

Predicting Grammatical Properties of Words Helps Us Read Faster

Predicting Grammatical Properties of Words Helps Us Read Faster
Psycholinguists from the HSE Centre for Language and Brain found that when reading, people are not only able to predict specific words, but also words’ grammatical properties, which helps them to read faster. Researchers have also discovered that predictability of words and grammatical features can be successfully modelled with the use of neural networks. The study was published in the journal PLOS ONE.