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Illustration for news: Doctoral Student at HSE University Reveals Hidden Layout of Ancient Parion

Doctoral Student at HSE University Reveals Hidden Layout of Ancient Parion

İdil Malgil, a researcher at HSE University, conducted a UAV-based LiDAR survey of the ancient Roman city of Parion in present-day Turkey. The high density of the scans allowed the team to detect subtle terrain features concealed beneath the ground and vegetation. The survey revealed traces of entire neighbourhoods, terraced structures, and walls that had remained invisible during routine excavations and could not be identified through aerial photography. The findings have been published in Ancient Civilizations from Scythia to Siberia.

Illustration for news: Mathematicians from Nizhny Novgorod and Shanghai Study System Stability

Mathematicians from Nizhny Novgorod and Shanghai Study System Stability

Mathematicians at HSE University–Nizhny Novgorod, in collaboration with colleagues from Tongji University in Shanghai, are investigating the fundamental causes of structural stability in systems and the mechanisms underlying its disruption. In this interview with the HSE News Service, Prof. Olga Pochinka, Head of the International Laboratory of Dynamical Systems and Applications at HSE University–Nizhny Novgorod and leader of the project ‘Qualitative Theory of Systems of Ordinary and Partial Differential Equations,’ discusses the project, which is being implemented as part of HSE University's International Academic Cooperation programme.

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: HSE in Minsk: Developing Cooperation with Belarus

HSE in Minsk: Developing Cooperation with Belarus

On May 26–29, 2026, an HSE University team visited Minsk, the capital of Belarus. The purpose of the trip was to meet and hold talks with Belarusian universities and scientific organisations—HSE University's current and prospective partners.

Illustration for news: ‘HSE University Provides Students with a Springboard into a World of Opportunities’

‘HSE University Provides Students with a Springboard into a World of Opportunities’

In 2024, Ikenna Mbata, from Owerri, Nigeria, enrolled on the Master’s in Science, Technology and Innovation Management and Policy at ISSEK in Moscow. After two years of studies, on June 1, 2026 he successfully defended his master’s thesis ‘The Spatial Distribution of Pharma Start-ups in Africa: An Analysis of Innovation Clusters and Policy Drivers.’ In his interview with the HSE News Service, Ikenna speaks about his research topic, the role of HSE University in shaping his skills, the importance of volunteering, and the benefits of studying in an international environment.

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.