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HSE University and Nauka Publishers have signed a cooperation agreement. Nauka Publishers, Russia’s oldest scientific publishing house, which will celebrate its 300th anniversary next year, is also one of the largest in the world. Under the agreement, the parties will work together to promote the results of HSE University’s research and to advance science communication.

On February 27, 2026, a regular research seminar of the International Laboratory of Intangible-driven Economy (IDLab) was held. Valeriia Fedorova, Research Assistant at IDLab, presented a talk titled “Use of Generative AI in Project Descriptions and Funding Outcomes in Crowdfunding.”
The study was co-authored by Petr Parshakov, Head of the Laboratory, and Marina Zavertiaeva, Senior Research Fellow at IDLab.

A semester in Brazil became far more than a period of academic mobility for HSE University students—it turned into a full-fledged professional experience. While studying at universities in Rio de Janeiro and Belo Horizonte, they simultaneously undertook internships at the General Consulate of the Russian Federation and the Trade Representation of Russia, combining academic training with practical experience of international work.

An international team, including researchers from HSE University, has created the first comprehensive map of quadruplexes—unstable DNA structures involved in gene regulation. For the first time, scientists have shown that these structures function in pairs: one is located in a DNA region that initiates gene transcription, while the other lies in a nearby region that enhances this process. In healthy tissues, quadruplexes regulate tissue-specific genes, whereas in cancerous tissues they influence genes responsible for cell growth and division. These findings may contribute to the development of new anticancer drugs that target quadruplexes. The study has been published in Nucleic Acids Research.

The Sino-Russian Association of Fundamental Sciences has officially begun its work in China. It brings together research centres in mathematics, physics, chemistry, life sciences, and Earth sciences, with participation from HSE University scholars. During the launch conference, the Sino-Russian Mathematics Series project was also presented; it envisages the publication of 100 textbooks and monographs over the next ten years. HSE University representatives Ivan Arzhantsev and Sergei Lando have joined the project’s editorial board.

Chinese students gained practical knowledge in the design, assembly, and operation of small spacecraft and systems, as well as in quantum mechanics, superconductivity, and materials science for solar energy.

Mathematician Ivan Remizov from HSE University–Nizhny Novgorod and the Institute for Information Transmission Problems of the Russian Academy of Sciences has made a conceptual breakthrough in the theory of differential equations. He has derived a universal formula for solving problems that had been considered unsolvable in quadratures for more than 190 years. This result fundamentally reshapes one of the oldest areas of mathematics and has potential to have important implications for fundamental physics and economics. The paper has been published in Vladikavkaz Mathematical Journal.

Valeria Vinogradova, a researcher at HSE University, together with British colleagues, studied how language proficiency affects cognitive processing in deaf adults. The study showed that higher language proficiency—regardless of whether the language is signed or spoken—is associated with higher activity and stronger functional connectivity within the brain network responsible for cognitive task performance. The findings have been published in Cerebral Cortex.

In January, HSE University hosted the third GameDevFest of the Faculty of Computer Science—a computer game festival organised by the School of Software Engineering and the project group ‘Computer Game Software Engineering—PIKI’ with the participation of the Vintorog game studio. Guests had the opportunity to play a variety of video games, including demo versions created by FCS students and other aspiring game designers.

Scientists at the HSE AI Research Centre have developed a novel approach to determining robustness in deep learning models. Their method works eight times faster than an exhaustive model search and significantly reduces the need for manual verification. It can be applied to particle physics problems using neural networks of various architectures. The study has been published in IEEE Access.