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Regular version of the site

Research & Expertise News at HSE University

Page 3 of 308
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Illustration for news: Neurolinguists Assist in Awake Surgery on 11-Year-Old Patient with Epilepsy

Neurolinguists Assist in Awake Surgery on 11-Year-Old Patient with Epilepsy

Researchers at the HSE Centre for Language and Brain took part in a rare awake neurosurgical procedure performed on an 11-year-old patient with drug-resistant epilepsy. Working alongside surgeons at the Voyno-Yasenetsky Centre of Specialised Medical Care for Children in Solntsevo, they monitored the resection of a portion of the left temporal lobe, where the epileptic focus had been identified.

Illustration for news: Scientists Explain How Emotions Shape Attitudes Toward Digital Governance

Scientists Explain How Emotions Shape Attitudes Toward Digital Governance

Today, interactions between citizens and government increasingly take place through digital governance platforms, including digital public services, AI-powered systems, and algorithmic decision-making tools. Until now, however, these technologies have largely been viewed as technical instruments, with their effectiveness assessed primarily in terms of efficiency and user-friendliness. The authors of a new study propose a broader perspective, arguing that digital governance should also be understood as an emotional experience that directly shapes citizens' trust in public institutions.

Illustration for news: Neural Network Maps as a Method for Constructing Mathematical Models

Neural Network Maps as a Method for Constructing Mathematical Models

Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.

Illustration for news: A Future for Everyone: ‘Eurasia Is an Excellent Space for Building Reliable Supply Chains’

A Future for Everyone: ‘Eurasia Is an Excellent Space for Building Reliable Supply Chains’

At the 2026 St Petersburg International Economic Forum, participants examined the global economy, trade and logistics in turbulent times, as well as the role of pension savings in Russia. Here are highlights from the sessions featuring HSE University experts.

Illustration for news: ‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It’

‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It’

Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.

Illustration for news: HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality

HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

Illustration for news: Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns

Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns

The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.

Illustration for news: Pocket Money, Personal Interest, and Family Practices: What Shapes Students’ Economic Literacy?

Pocket Money, Personal Interest, and Family Practices: What Shapes Students’ Economic Literacy?

University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.

Illustration for news: Creative Work as a Remedy for Burnout

Creative Work as a Remedy for Burnout

The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

Illustration for news: HSE Study Reveals Imbalance in the Generative AI Market

HSE Study Reveals Imbalance in the Generative AI Market

Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.