Research & Expertise

At HSE University St Petersburg International Partners' Week, representatives of world-leading universities discussed how to adapt to the rapid development of AI technologies: from integrating neural networks into the educational process to reconsidering the role of the person in creative professions.

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.

Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

At the HSE St Petersburg International Partners' Week, the members of the Consortium on Social Entrepreneurship signed the expanded manifesto about cooperation in the sphere of sustainable development, summarised the results of the first working year and took into their ranks the campus in Lima of the University of Piura (Peru).

CIPR 2026, Russia’s largest conference on the digital transformation of key industrial sectors, has opened in Nizhny Novgorod. The event brings together Prime Minister Mikhail Mishustin, members of the government, governors, company executives, and researchers. This year, HSE University has become an official partner of the conference. Vice Rector Elena Odoevskaia and other university representatives will take part in expert sessions and sign a number of agreements, while the university’s exhibition stand will showcase a range of digital developments.

HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.

HSE University and the Tatarstan Academy of Sciences (TAS) have agreed on cooperation. The agreement formalised a strategic partnership between the two leading scientific and educational institutions in the field of demographic and sociological research. The document was signed in Kazan on May 13, 2026 by Lilia Ovcharova, HSE Vice Rector and Director of the Institute for Social Policy, and Rifkat Minnikhanov, President of TAS, at the venue of the 17th International Economic Forum ‘Russia—Islamic World: KazanForum.’

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science, along with students from the AI360: Artificial Intelligence Engineering track of the Applied Mathematics and Information Science bachelor’s programme, took part in ICLR, one of the world’s most prestigious international conferences on machine learning and representation learning. This year’s event was held in Rio de Janeiro, Brazil.

Fedor Shirshikov, a student of the Master's in Corporate Research, Development and Innovation Management at HSE University, has proposed an innovative technology for identifying oil and gas fields by detecting indicator microbes using PCR tests. The new method could help reduce the number of costly dry drilling operations. With this project, the student made it to the finals of the GreenTech Sustainable Development technology accelerator organised by the Skolkovo Foundation. In this interview, he explains why a biologist decided to study innovation management and how the oil industry inspired his startup idea.

On April 14, 2026 Institute for Statistical Studies and Economics of Knowledge (ISSEK) of the National Research University Higher School of Economics held section “Forecasting socio-economic and science and technology development in dynamically changing external environment: methods, models and results” within academic theme "Foresight studies" of XXVI April International Academic Conference named after Evgeny Yasin. Participants discussed key areas of country's development in the context of economic and political turbulence.