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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. 

HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.

An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.

Scientists from HSE MIEM have developed a new approach to modelling electrothermal processes in high-power electronic circuits on printed circuit boards (PCB). The method allows engineers to quickly and accurately predict how electronic components heat up during operation, helping prevent overheating and potential failures. The results have been published in Russian Microelectronics.

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

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).

Can a Formula 1 race become a testing ground for digital forecasting, and how can climate intelligence help companies adapt to shocks? The second session of International Symposium “Foresight in a Rapidly Changing World” within XXVI April International Academic Conference named after Evgeny Yasin focused on finding answers to these questions. The discussion, which brought together experts from Russia, Canada, France, and Brazil, was moderated by Yulia Milshina, Deputy Director of the ISSEK Foresight Center (HSE University).

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.

HSE University–St Petersburg and UPES University (India) held a joint summer school for students and researchers on the influence of international organisations on environmental regulation policy in Russia and India. HSE University–St Petersburg was represented by Aleksei Sorbale, academic supervisor of the Bachelor's programmes 'Political Science and World Politics' and 'Data Analytics for Politics and Society.'

Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.