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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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Ты, я и «Алиса»: как мы уживаемся с искусственным интеллектом

Вестник Московского университета. Серия 10: Журналистика. 2024. № 3. С. 186–207.
Shomova S.

The article accumulates the results of one of the facets of a large study conducted in 2023 by the HSE Center for Digital Cultures and Media Literacy. 350 questionnaires received from students, teachers of media specialties and specialists in the creative industries – journalists, advertisers, designers, museum staff, etc. – in five regions of Russia were thematically devoted to the current self-perception of Russians "on the threshold of the neural network revolution"; the article focuses on the emotional spectrum of respondents' interaction with neural networks, which is a particularly interesting issue of modern media relevance. The range of emotions in communication with AI, the expectation of empathy from "smart devices", the problem of "humanizing" gadgets, building a dialogue with them – all these issues are reflected in the study.

Research target: Media and Communications
Language: Russian
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Keywords: образованиеeducationэмпатияempathyemotionscreative industriesкреативные индустрииантропоморфизмAI (artificial intellence)эмоции человекаИскусственный интеллект anthropomorphism
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