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Regular version of the site
1

Friday, June 5

16:00

Seminar 'Measuring Main Street from Wall Street'. Speker: Fabrizio Ghezzi

online
Illustration for news: How HSE International Relations Students Intern at UN Economic Commission for Africa

How HSE International Relations Students Intern at UN Economic Commission for Africa

This year, third-year students of the International Relations programme Arsenii Armanshin and Arkady Tsvetkov travelled to Addis Ababa, Ethiopia, as part of the Africa Track. They secured internships with the United Nations Economic Commission for Africa (UNECA). In an interview with the HSE News Service, they spoke about their journey, work responsibilities, and the experience they gained.

Illustration for news: ‘Academic Counterpart to SPIEF’ Took Place at HSE University–St Petersburg

‘Academic Counterpart to SPIEF’ Took Place at HSE University–St Petersburg

From May 18 to 22, HSE University–St Petersburg became the centre for global academic dialogue. This was the third time the city hosted International Partners' Week, a strategic event of HSE University. The event brought together more than 100 delegates from 45 universities and 20 countries. Participants shared their impressions of the forum and HSE University.

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.

Illustration for news: Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan

Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan

On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.

Illustration for news: HSE University Tops Forbes Employer Reputation Ranking Once Again

HSE University Tops Forbes Employer Reputation Ranking Once Again

Forbes Education has published its ranking of the top 20 Russian universities with the strongest reputations among employers. As in recent years, HSE University secured first place with a reputation index of 98 points. In addition, 67.2% of employers stated that they trust the quality of education provided by HSE University, an increase of three percentage points compared with last year.

Illustration for news: ‘Entering Robotics Now Means Growing with the Area’

‘Entering Robotics Now Means Growing with the Area’

Unmanned vehicles, courier robots, and smart speakers are rapidly becoming a part of our lives. In 2026, the HSE Faculty of Computer Science opens its new Bachelor’s Programme ‘Design of Intelligent Robotic Systems’ (DIRS). It will train specialists at the intersection of IT, artificial intelligence, and robotics. Academic Supervisor of DIRS Vadim Morgachev explains how studies are organised and why graduates of the programme ‘will definitely be accepted into the future.’

Illustration for news: HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors

HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors

Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.