Research & Expertise

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.

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.

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.

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.

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.

Artificial intelligence (AI) significant impacts on the economy and society, touching on a wide range of areas, from strategic management and decision-making to everyday communication. Experts from the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) used the iFORA system to map key fractures —areas where changes have already become irreversible and will only intensify.

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).