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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
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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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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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Infological Models for Smart commerce

P. 73–77.
Komarov M. M., Kniazev K. A.

The paper is devoted to the technology of infological models, which combines the principles of semantic networks, open source data and data banks. This technology represents the new approach to data storage and exchange, which enables to look at the information processing in an entirely new way.

The final part of the paper contains the analysis of using infological models in electronic business on example of knowledge bases, information sites, news portals, online-shops and smart homes with description of its features and advantages. 

Language: English
Full text
Keywords: семантические сетиknowledge representationпредставление знанийsemantic networks visualizationумная коммерцияsmart commerceinfological modelsинфологические модели

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Proceedings of the IEEE 18th Conference on Business Informatics (CBI 2016)
Los Alamitos: IEEE Computer Society, 2016.
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