‘Science Is Universal—It Knows No Borders’
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
Unique Culture, Arab Hospitality, and Six Exam Periods Per Year: HSE University–St Petersburg Student on Her Studies in Oman
Daria Semenova, fourth-year student of the Bachelor's programme 'Asian and African Studies,' spent a semester at the University of Nizwa in Oman. There, she immersed herself in the language environment and came to know the culture of the modern Arab world. Read on to find out about why Daria chose Oman, the specifics of her studies there, and the value of international experience.
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.
‘I Have Developed as a Researcher, Participated in Conferences and Events, and Met People from All Over the World’
Akhtar Hussain, from Skardu, Gilgit-Baltistan, Pakistan, is a second-year student of the Master’s in Foreign Languages and Intercultural Communication at the HSE University School of Foreign Languages in Moscow. In this interview with the HSE News Service, he shares his experiences of seeing Russian history come to life, representing the university on stage and on the football field, volunteering, and more.
HSE University to Launch New AI Supercomputer
HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.
BRICS Launches Joint Study on Competition in Global Grain Trade
At the UN Trade and Development (UNCTAD) headquarters in Geneva, experts and representatives of competition authorities and international organisations discussed competition in the global grain trade. The discussions resulted in the establishment of a BRICS project task force that will prepare the bloc’s first joint sectoral study of the grain market. The initiative was presented by the BRICS Competition Law and Policy Centre based at HSE University.
‘HSE Provides Opportunities to Meet New People and Build Connections Beyond the Classroom’
Benjamin Owusu Sarpong, from Kumasi, Ghana, is a final-year student of the Master's programme 'Politics. Economics. Philosophy' at HSE University–Moscow. Now in the final stage of his studies, Benjamin spoke to the HSE News Service to reflect on his experiences—including the various ways HSE brings different cultures together, the numerous opportunities for self-development outside the classroom, and the essential Russian phrases every international student needs to get by.
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.