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News
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.
September 21, 2026
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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Методы анализа текста в смешанном дизайне исследования

Политическая наука. 2015. № 2. С. 104–116.
Polukhina E., Prosyanyuk D. V.

The article discusses the strategy of «mixing» methods, particularly prevalent in the Western research tradition. Covers the methods of text analysis, demonstrated the difference between formal or approach on the example of the study of the image of modern Russia in the texts of the American edition of «New York Times», where attention is paid to algorithms work with texts. It is shown that for the study of such phenomena as the image of the country, the combination of formal or approaches to the analysis of the text is a necessary and natural research phenomenon.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
Text on another site
Keywords: анализ текстаtext analysisобраз Россииautomatic text analysisметодология анализа данныхimage analysisсемантический анализ текстаsemantic analysisАвтоматизированный анализ текстаmixed methods researchстратегии смешивания методов
Publication based on the results of:
Смешанные стратегии исследования: потребности, дизайн и процедуры воплощения (2015)
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