HSE Strategic Technological Projects in 2025
In 2025, HSE University continued its participation in the Priority 2030 Strategic Academic Leadership Programme, maintaining a strong focus on technological leadership in line with the programme’s updated framework. A key element of the university’s technological leadership strategy is its Strategic Technological Projects (STPs), aimed at creating in-demand, knowledge-intensive products and services.
A distinctive feature of the Strategic Technological Projects is the development of research-based products built on the university’s existing expertise and groundwork. STP teams implement projects with strong demand potential from society, business, and government, in line with Russia’s priorities for scientific and technological development. An important change in 2025 was the centralisation of STP management, which made it possible to integrate them more effectively with other initiatives aimed at achieving HSE University’s technological leadership goals.
Forecasting and Foresight: Capitalising on Expertise
To support evidence-based decision-making by government bodies and businesses, the STP team of the National Centre for Science, Technology, and Socio-Economic Foresight develops advanced systems analysis and forecasting technologies. These technologies are classified as critical under Presidential Decree No. 529 of June 18, 2024.
In 2025, the team focused on further developing existing expert and analytical products and creating new ones. In particular, a unique team of leading experts updated the scenario-based forecast of Russia’s socio-economic development. The resulting report, Scenarios for the Development of the Russian Economy in the Context of Geopolitical Turbulence, was prepared by HSE University across 14 key economic and social sectors with the participation of more than 150 leading specialists. The forecasting horizon was extended to 2036, and the system of scenarios was revised and adapted to the new global environment. The report has been in high demand among major private and public-sector organisations. The report is complemented by consensus forecasts covering key areas of socio-economic and scientific and technological development. These are updated annually based on surveys conducted among a unique panel of more than 700 experts.
Another important decision-support tool is a set of databases covering a wide range of areas, from investment projects in agriculture and the IT sector to trends in the green economy and international sanctions. In 2025, two new databases were created: a navigator of promising competencies for the digital economy and a database of global defence-industry production chains. Six other databases launched in 2024 were updated, including interface improvements and the addition of new user-friendly features.
The STP team also expanded its range of regular analytical reviews. Since June 2025, it has been monitoring the agendas of leading global think tanks in three key areas: scientific and technological development and innovation, the global economy, and foreign policy and security. On a regular basis, the team publishes reviews of current Russian and international forecasts, as well as information bulletins entitled Trends. Events. Figures, which examine developments in Russia and worldwide across 14 key sectors of the economy and social sphere.
New Priorities: 6G Communication Technologies
The Strategic Technological Project (STP) ‘Trusted 6G Communication Systems Technology Suite’ focuses on developing domestic technologies for the design and production of sixth-generation communication equipment. The need for such technologies is driven by Russia’s priorities in scientific and technological, economic, and spatial development. The targeted deployment of 6G technologies is expected in the near future, and HSE University therefore aims to establish its own scientific and technological foundation in this field.
The project is being implemented at the Telecommunications Research Institute established at the end of 2024. The inclusion of this project in the university’s portfolio of strategic technological projects represents a new challenge within the updated development programme, aimed at supporting and ensuring the sustainable growth of HSE’s engineering capacity. The STP is based on an approach that combines the development of highly intelligent trusted 6G technologies with their engineering implementation on a domestic digital platform. In 2025, the team’s efforts focused on creating key elements of the electronic component base for 6G radio communication systems.
The STP team is developing a digital platform for the design and testing of 6G technologies, which will accelerate the development and prototyping of electronic components through the use of digital twins. Technical solutions have been created in key areas, including interference-resistant coding, information protection algorithms, multiple-access methods, and network resource management. In addition, prototypes of smart radio environment elements based on silicon and III–V semiconductor microelectronics have been developed. These elements are capable of adapting to changing conditions and controlling signal propagation characteristics. The team’s results were presented at the ITMO Wireless: High-Frequency Wireless Technologies school and conference. The project team is already involved in implementing sectoral projects commissioned by the Russian Ministry of Digital Development, Communications, and Mass Media.
Artificial Intelligence: From Model to Agent
The STP ‘Multi-Agent AI Platform for Sectoral Solutions’ is being developed along two main lines: the creation of infrastructure for developing, deploying, and ensuring access to AI models, and the development of AI agents for various sectors of the economy and the social sphere. In 2025, the functionality and user interface of the SmartMLOps platform for hosting and managing AI services were significantly upgraded. The platform is integrated into the university’s digital infrastructure to accelerate the development and market introduction of AI services and is already being used by HSE researchers to deploy AI models and access data.
An interactive platform is also under development, enabling users to find and access AI services for research, analytical, and sector-specific tasks. At the same time, university researchers and developers will gain a convenient tool for transferring their innovations to practical use. The platform is being built on the basis of the iFORA (Intelligent Foresight Analytics) system.
Alongside infrastructure development, AI assistants for various industries are being created. HSE experts continue to work on tools for managing climate risks. In 2025, the project team proposed a methodology and developed a database of climate risk profiles for municipalities, containing information on hazardous natural phenomena and the threats they pose to the economy and population. These developments were presented at Russian and international forums, including the UN AI for Good Summit in Geneva. The researchers regularly publish analytical materials, such as a report on financial solutions for climate adaptation in Russia. Banks, companies, and public authorities can use these results to assess climate risks and develop adaptation measures.
In the context of a shortage of qualified personnel, companies and public authorities need tools for analysing the labour market in real time. In response to this challenge, the STP team has developed a prototype of the Labour Market Capacity analytical information system. The service automatically collects and analyses data on job vacancies, job seekers’ CVs, as well as regional socio-economic and demographic indicators. Its use will make it possible to monitor changes in regional labour markets quickly and effectively, including workforce mobility and supply-and-demand dynamics for specific professions.
Another important area of work is the development of AI agents to improve efficiency and introduce human-centred management principles within HSE itself. The STP team has created an ‘AI employee of the academic office’—a chatbot that advises students and teachers on academic organisation, research activities, and extracurricular matters. The system is currently being comprehensively integrated into the university’s digital ecosystem. Another AI service is designed to monitor students’ psychological and academic well-being. Its implementation will make it possible to predict risks and develop recommendations to support students who find themselves in difficult situations.
Increasing Technological Maturity and Developing Partnerships: Plans for the Coming Year
The launch of strategic technological projects in 2025 not only set new research challenges for the university, but also required a special focus on the transfer of technological products and services. Most STPs are based on strategic projects implemented at HSE between 2021 and 2024. Today, capitalising on intellectual potential is one of the university’s key strategic objectives. Therefore, in 2026 the work of STP teams will focus both on increasing the technological maturity of their solutions and on attracting industrial partners. At the same time, the search for new ideas for technological development within the STP framework continues. In December 2025, an open call for ideas for the development of AI agents was launched. Selected projects will receive expert and technological support.
Elena Odoevskaya, HSE Vice Rector
‘In 2025, HSE confirmed its leadership in the updated Priority 2030 programme. The university’s strong performance in the programme also reflects the success of its strategic technological projects. Some of them are still at an early stage, while others have already reached a high level of maturity. In some areas, we need to intensify our search for markets and partners ready to implement our developments at an industrial scale; in others, we are already integrating them into our day-to-day operations. Our researchers are not only successfully advancing unique expertise in socio-economic forecasting, foresight, and AI technologies, but are also developing new competencies in telecommunications and engineering. We understand that these projects require special attention, as they involve a significant part of our community of experts, researchers, and developers, even though many other important initiatives are also being implemented at HSE within the Priority 2030 programme. Given HSE’s achievements in the programme, we can say that the teams’ developments contribute to the university’s technological leadership goals and make a substantial contribution to the implementation of national technological leadership projects.’
See also:
HSE University Wins Autonomous Search Tech Contest for LizaAlert Search and Rescue Team
The navigation system, developed by specialists from the Laboratory for Intelligent Unmanned Systems at HSE MIEM, is designed to search for missing people and allows the unmanned vehicle to autonomously execute route missions without satellite navigation. The Autonomous Search competition is notable for its comprehensive verification of actual working technologies. Out of 50 applications submitted, 15 were admitted to the qualification round, and four teams advanced to the finals.
HSE University to Launch 11 Projects with Research Centres from Five Countries
HSE University has announced the results of its International Academic Cooperation (IAC) competition for joint fundamental research projects. Five projects have received full funding, while six more have been awarded partial funding. The research teams include scholars from Brazil, South Africa, China, India, and Oman. Alexander Balyshev, HSE University Vice President, shared details of the 2026 IAC competition winners.
Leo Tolstoy, Specifications, Counterpoint, and AI Inclusivity: HSE University Discusses Vibe Coding
HSE University hosted the first international conference on vibe coding, VIBE CODING RUSSIA 2026. More than 450 participants and speakers from universities, banks, the telecommunications and cybersecurity sectors, and the vibe-coding community discussed how AI is shortening the path from research findings to products and who is responsible for code written by an algorithm.
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
AI Robot for Environmental Recognition Tested at HSE University
Engineers and researchers at the HSE Institute for Robotics Systems have successfully run the first tests of an AI-powered environmental recognition model deployed on a robot dog. The robot navigated around the HSE Pokrovka building and Pokrovsky Bulvar, analysing the surrounding environment to identify its location.
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
HSE Researchers Present Study on Neural Network Robustness in Video Analysis at ChinaMM 2026
Researchers from HSE University presented a study at the international ChinaMM 2026 conference on how video transmission distortions affect the performance of neural networks. The authors proposed a new approach to testing the robustness of such models under conditions that closely resemble the real-world use of video services.
HSE University to Develop Predictive Analytics System for Icebreaker Motors
Industrial automation is one of the key applications of artificial intelligence. A predictive analytics system for large electric motors is among the solutions being developed for the industry as part of HSE University’s Strategic Technological Project ‘Multi-Agent Platform of AI Solutions for Industry-Specific Tasks.’ What is predictive analytics, how can it improve the operation of electric motors, and what specialists joined forces to develop this technology? Anton Zarubin, Dean of the School of Computer Science, Physics, and Technology at HSE University–St Petersburg and the project development coordinator, explains in this interview with the HSE News Service.
Scientific Expedition to Hainan: HSE Scientists Organise Conference on Statistical AI in China
The Statistical AI Conference was held in Sanya, Hainan Island, China, from 24 to 28 August 2026. The international event brought together leading experts in statistics, machine learning, and applied AI. Alexey Naumov, Director of the AI and Digital Science Institute at the HSE Faculty of Computer Science, and Sergey Samsonov, Head of the International Laboratory of Stochastic Algorithms and High-Dimensional Inference, were among the conference organisers.
How to Assess Students’ Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.