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News
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.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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Measuring Personal Networks with Core Discussion Network Methodology: A Case of Russian Students

Quality and Quantity. 2025. Vol. 59. P. 4077–4095.
Mikhaylova O., Dokuka S.

This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we present results from an empirical study. The analysis focused on network parameters such as the size and density of ego-alter ties, alongside the socio-demographic characteristics of alters (gender, age, and relationship to ego). Results indicate that the structure of CDNs among Russian students in 2021 closely mirrors that of Ukrainian respondents from prior studies in terms of connection counts, proportions of relatives versus non-relatives, and the percentage of respondents reporting no discussion partners. However, variation coefficients for gender and age were distinct compared to earlier research, though direct comparisons were constrained by inconsistent reporting of standard deviations in existing literature. Our findings highlight the need for standardized metrics in personal network analysis to improve cross-study comparability.

Research target: Social Sciences
Language: English
Full text
DOI
Keywords: surveynetwork analysiscomparative researchquantitative researchpersonal networkscore discussion network
Publication based on the results of:
The contribution of education to the development of human capital in the Far East and the Arctic (2025)
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