News

Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.

Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

The AI and Digital Science Institute at the HSE Faculty of Computer Science has developed a tabular data anonymisation service designed to prepare corporate datasets for use in analytics and AI applications. The solution can identify personal data in structured datasets, apply consistent and reproducible anonymisation rules, and generate the artifacts required for quality control, auditing, and subsequent use of data in secure environments.

Researchers at HSE University, in collaboration with colleagues from other Russian institutions, have identified which mutations in the ACVRL1 gene may be pathogenic in patients with pulmonary arterial hypertension. The team modelled how genetic variations affect ATP binding to the protein—a process essential for transmitting signals required for normal vascular function. The researchers found that 20 of the 32 variants studied can disrupt signal transmission and are therefore likely to cause disease. The findings have been published in the Journal of Structural Biology.

Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

On June 10, 2026, the HSE University–Kyung Hee University Double Degree Programme hosted a Korean Poetry Recitation Contest. Despite the demanding schedule of preparation for the summer examination session, participants went beyond simply memorising poems in Korean, creating original performances complete with presentations and musical accompaniment. The contest brought together students from HSE University and several other higher education institutions.

The recent 34th Assembly of the Council on Foreign and Defence Policy (SVOP) presented analytical approaches to emerging global challenges and developed practical recommendations in the context of a transforming world order. Experts from HSE University took an active part in the sessions and closed briefings.

The Russian middle class cannot be regarded as a homogeneous and uniformly stable social group. Similar income levels often mask significant differences in financial strategies, lifestyles, and levels of economic security. This is the conclusion reached by sociologists at HSE University. The study has been published in Voprosy Ekonomiki.