Third ‘International Academic Cooperation of HSE University’ Open Competition Launched
Research (scientific) structural units of HSE University planning to conduct joint research with foreign universities and research centres are invited to take part in the competition.
The competition aims to develop and strengthen international research partnerships, expand the research agenda, and involve undergraduate, graduate, and doctoral students in scholarly collaborations in order to foster a sustainable academic research culture. Within the framework of joint projects, scholars from HSE University and international organisations combine their efforts to address pressing scientific challenges, hold reciprocal training seminars, and organise joint international events.
‘International Academic Cooperation of HSE University’ (IAC) is a strategic university project that was successfully launched in 2023, recalled Marina Litvintseva, Director for Advanced Research at HSE University. During the two previous calls, applications were submitted jointly with more than 50 universities and research centres from 14 countries worldwide. At present, 15 joint research projects are being implemented across a wide range of fields—from fundamental medicine to urban studies.
According to her, the results of joint projects with partners from China and Vietnam were presented at meetings of the Sub-Commission on Scientific and Technical Cooperation of the Intergovernmental Russia–China Commission and the Russian–Vietnamese Intergovernmental Commission on Trade, Economic, Scientific, and Technological Cooperation.
Marina Litvitseva
‘In the new third call, we are focusing on investigator-initiated research projects aimed at addressing challenges within the priority areas of scientific and technological development and contributing to the implementation of national projects designed to ensure technological leadership,’ Marina Litvintseva emphasised.
Olga Pochinka
International academic cooperation is one of the most successful areas of development at HSE University, believes Olga Pochinka, Head of the International Laboratory of Dynamical Systems and Applications at HSE University–Nizhny Novgorod and leader of the joint IAC project with Tongji University (China). ‘Strategic partnership between research teams from different countries promotes fruitful exchange of knowledge and the development of fundamental science and education, which is ultimately the purpose of such projects. This type of cooperation also leads to closer cultural ties between research teams, facilitating academic communication,’ she noted.
The joint project with the Beijing Institute of Mathematical Sciences and Applications (BIMSA) at Tsinghua University (China), implemented within the IAC framework, provides the laboratory with direct contact with one of the world’s leading mathematical centres, said Valery Gritsenko, Head of the International Laboratory for Mirror Symmetry and Automorphic Forms and leader of the joint IAC project with BIMSA.
Valery Gritsenko
‘Our annual conferences in Moscow give early-career researchers the opportunity to speak alongside leading mathematicians from around the world and to present the latest research findings to an international audience. In China, we work with scholars from across the globe—this was clearly demonstrated by the international conference on the theory of automorphic forms held in Wuhan in the summer of 2025, which brought together nearly one hundred participants. The focus on the East set by HSE University’s International Academic Cooperation programme enables us to continue our international research activities without external restrictions,’ he emphasised.
Applications are accepted until May 26, 2026. In August–September, project initiators from HSE University will present their proposals at a meeting of the competition commission. The results of the competition are scheduled to be announced on September 21, 2026. The list of successful projects will be published on the HSE University website on October 1, 2026.
The implementation period for the winning projects is 2027–2029.
The maximum funding for each supported project will amount to 8 million roubles per year. The duration of each project is three years. Upon completion, an expert evaluation of effectiveness will be conducted, taking into account the fulfilment of the approved performance indicators and the research plan. If the project successfully passes the review, it may be extended.
Applications must be submitted online via the link provided (site in Russian). Further details about the application requirements are available on the website.
In March–April, individual consultations on the preparation and submission of applications for the ‘International Academic Cooperation of HSE University’ competition will be available. Requests for an individual consultation may be sent to labs@hse.ru.
Information about the implementation of projects that won previous competitions is also available on the website.
See also:
HSE in Minsk: Developing Cooperation with Belarus
On May 26–29, 2026, an HSE University team visited Minsk, the capital of Belarus. The purpose of the trip was to meet and hold talks with Belarusian universities and scientific organisations—HSE University's current and prospective partners.
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
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.
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
HSE University at IRES 2026: Student Recruitment, Space Projects, and New Partnerships with India
The second Indo-Russian Education Summit (IRES 2026) took place in New Delhi on May 28–29. This year, the event brought together more than 70 leading Russian and Indian universities. Representatives from HSE University’s Moscow and St Petersburg campuses introduced prospective students to the university’s educational opportunities at the exhibition and shared their experience in developing Russian–Indian academic cooperation.
HSE Study Reveals Imbalance in the Generative AI Market
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.
HSE and Sultan Qaboos University: Expanding Academic and Research Partnership
In May 2026, a delegation from Sultan Qaboos University (Oman) made an official visit to HSE University. The main purpose of the meeting was to discuss new forms of cooperation and partnership and to identify areas of mutual interest. Representatives of HSE’s Moscow, St Petersburg, and Nizhny Novgorod campuses spoke about their shared interest in expanding joint projects, primarily in the field of artificial intelligence—a strategic development priority for both universities.
HSE and Peking University Expand Cooperation in Civil Society Research
A seminar involving Russian and Chinese scholars on cooperation between the state and non-profit organisations was held in Beijing. Participants discussed the evolution of institutions, cooperation practices, and challenges facing the development of the non-profit sector, and also presented the results of their research. The meeting concluded with agreements to expand joint projects and academic exchanges.
HSE to Bring Together Experts from World’s Leading Universities in St Petersburg
From May 18 to 22, 2026, HSE University–St Petersburg will become a hub of global academic dialogue. International Partners’ Week will bring together more than 100 delegates from 47 universities across 20 countries.
HSE and Peking University Discuss Prospects for Expanding Cooperation
In Moscow, HSE University’s leadership met with a delegation from Peking University headed by its President, Gong Qihuang. During the meeting, the parties agreed to strengthen partnership between the two universities within the framework of the Cross Years of Russian–Chinese Cooperation in Education (2026–2027).
Teaching a Machine to Read the Past: HSE Develops Neural Network to Decipher Manuscripts
Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.