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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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Адаптивные динамические транспортные модели – «цифровые двойники» транспортной ситуации для управления городской мобильностью в режиме реального времени

С. 64–69.
Швецов В., Prokhorov A., Морозов В. П., Дагаева М.

The article examines the information and analytical system TransInfo and the digital platform RITM3 developed by the SIMETRA Company for the optimization of urban transport infrastructure management. The authors suggest that the introduction of dynamic transport models should be regarded as an integral component of contemporary urban development. They also highlight the value of integrating diverse planning and management systems into a unified digital platform capable of rapidly analyzing and forecasting traffic flows in real time. The article presents successful applications of these systems in Moscow and other Russian cities, confirming their effectiveness. The authors conclude that Russian cities have access to technologies and tools to implement dynamic transport models, emphasizing the importance of transitioning to high-quality predictive transport analytics to improve the safety and comfort of citizens.

Language: Russian
Text on another site
Keywords: динамические модели городских системМатематическое моделирование транспортных потоковтранспортная модельтранспортное моделированиеTransport modelTransport Modelingинтеграционная платформацифровой двойникмультимодальная математическая транспортная модельЦифровая платформа транспортного комплексаdigital twinstransport modellingЦифровые двойники городовDynamic Network Loading

In book

Международный форум KAZAN DIGITAL WEEK – 2024: сборник материалов: Ч.1
Ushakov M. ОСП «НЦБЖД АН РТ», 2024.
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