Research & Expertise

HSE experts, in collaboration with researchers from China and India, have participated in the development of the Urban & Innovation Environment Index, a global ranking of cities. Moscow ranks fifth in the final global rating of urban agglomerations and first in the rating for those in BRICS+ countries. St Petersburg ranks seventh in the global rating and third in the BRICS+ rating.

Researchers at HSE University and the Pirogov National Medical and Surgical Centre have examined alterations induced by epilepsy in the language-related neural network within the brain. Using graph-based analysis, the researchers studied fMRI data from 28 patients and found that in epilepsy, both hemispheres of the brain become activated during language processing and short connections form between the hemispheres, while long connections within one hemisphere are disrupted. The study has been published in Epilepsy&Behavior.

Physicists from HSE MIEM in collaboration with colleagues from MIPT and other universities have formulated a theory capable of explaining the transition between different superconductivity types, revealing an intertype regime characterised by exotic magnetic properties. This discovery can serve as the foundation for the development of sensors with enhanced sensitivity and accuracy, capable of functioning in conditions where traditional sensors are less effective. The study has been published in Communications Physics.

Scientists at HSE MIEM have induced a superconducting current using 'liquid light,' or excitonic polaritons, which are hybrid particles formed by interaction between light and matter and possess the properties of both light and material particles. The ability to manipulate an electrical system through an optical one can be valuable in the development of technologies such as quantum computers. The study has been published in Physical Review B.

On April 6–8, HSE University-St Petersburg will hold the HSE International Model United Nations. Registration is open till March 1. Participation is open to both university and high school students.

HSE scientists have developed a software tool for assessing the presence and degree of dyslexia in school students based on their gender, age, school grade, and eye-tracking data. The application is expected to be introduced into clinical practice in 2024. The underlying studies were conducted by specialists in machine learning and neurolinguistics at the HSE AI Research Centre.

Applying expensive diagnostic methods in clinical practice will ultimately cost society 5 to 10 times less than the expenditures associated with late-stage cancer treatment, including subsequent disability pensions and sick leave payments—these are the findings from a study conducted by researchers at the HSE Faculty of Economic Sciences Marina Kolosnitsyna and Anastasia Vladimirskaya in collaboration with colleagues at EVOGEN, a medical genetic laboratory, and the Department of Health of the Yamalo-Nenets Autonomous Okrug. The study results have been published in Social Aspects of Population Health.

Researchers at the HSE University AI Research Centre and Faculty of Computer Science have proposed a novel algorithm for detecting structural changes in time series. The method uses a neural network to compare various segments of a series, enabling rapid detection of changes in its behaviour. The results of their work have been presented at the 26th International Conference on Artificial Intelligence and Statistics— AISTATS (A*).

HSE University-St Petersburg and the Indian Institute of Technology Delhi (IIT Delhi), a leading Indian university, have agreed to launch joint research projects in the field of social, political studies, humanities, and data analysis for master's students. On the Russian side, this work will be coordinated by the HSE St Petersburg School of Social Sciences.

Researchers at the HSE Faculty of Economic Sciences have studied the relationship between the changes in the bitcoin prices and the media attention to this cryptocurrency. The researchers examined the mentions of bitcoin in the media between 2017 and 2021 and built a mathematical model that revealed the strong relationship between media attention and bitcoin prices. The study was published in the Applied Stochastic Models in Business and Industry journal.