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September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.
September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
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Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.

 

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Прагматика в цифровую эпоху: база данных «Рутиникон»

Слово.ру: балтийский акцент. 2025. Т. 16. № 2. С. 28–52.
Rakhilina E. V., Гюласарян С. М., Бычкова П.

This study focuses on the Routinicon database as a digital tool for describing routines — a distinct class of formulaic phraseological units that represent reactions to or comments on standard extralinguistic situations. For instance, the formula Kogo ya vizhu! (Whom do I see!) serves as a reaction to an unexpected meeting, while Kto tam? (Who’s there?) is a standard formulaic reaction to a knock at the door. The collection, classification and study of units of this kind is of undoubted interest both from the point of view of discourse theory and pragmatics, and from the point of view of the practice of mastering live spoken Russian by foreign speakers. Routinicon is a natural extension of the projects Russian Constructicon and Pragmaticon and borrows principles of data collection and data processing from the predecessor projects. At the same time, Routinicon collects phraseological units of a different type than these databases, and their description requires a fundamentally different annotation structure. The article discusses the principles and features of this annotation, as well as its potential for the intralingual classification of Russian language routines and its applicability to the corresponding material of other languages — laying the groundwork for future typological studies. Italian language examples collected by the authors are used for illustrations.

Research target: Philology and Linguistics
Language: Russian
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Keywords: русский языкпрагматикабаза данныхитальянский языкконструкциирутины
Publication based on the results of:
Linguistic and cognitive diversity in formal models, computer tools, and educational resources (2025)
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