HSE Tops the Ranking of Universities with the Best Employer Reputation
On October 16, 2025, Forbes Education published its list of the top 20 Russian universities with the best employer reputation in 2025. The ranking was based on a survey of leading Russian employers, who named the higher education institutions whose graduates they consider the most well-prepared and are most inclined to hire. HSE University took first place in the ranking.
HSE’s reputation index scored 98 points, with 64.2% of employers saying they trust the quality of education provided by the university.
The top three also include Lomonosov Moscow State University and Bauman Moscow State Technical University. Among the twenty universities with the best employer reputation are fourteen based in Moscow, three in St Petersburg, and one each in Yekaterinburg, Kazan, and Tomsk.
The survey involved companies featured in Forbes’s list of Russia’s best employers—organisations from various regions representing 43 sectors of the economy. These companies offer competitive salaries and optimal working conditions, demonstrate transparent corporate governance, and adhere to ESG principles.
Employers also highlighted universities that lead in the following fields of study: economics, engineering, marketing and communications, natural sciences, creative industries, and the humanities.
When calculating the ranking, points were awarded in two categories: Overall Reputation and Sectoral Reputation. In the final reputation index, the Overall Reputation score accounted for 70% of the total weight, and Sectoral Reputation for 30%.
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HSE Scientists Optimise Training of Generative Flow Networks
Researchers at the HSE Faculty of Computer Science have optimised the training method for generative flow neural networks to handle unstructured tasks, which could make the search for new drugs more efficient. The results of their work were presented at ICLR 2025, one of the world’s leading conferences on machine learning. The paper is available at Arxiv.org.
Neural Network Trained to Predict Crises in Russian Stock Market
Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well even on complex, imbalanced data and incorporates not only economic indicators but also investor sentiment. The paper by Tamara Teplova, Maksim Fayzulin, and Aleksei Kurkin from the Centre for Financial Research and Data Analytics at the HSE Faculty of Economic Sciences has been published in Socio-Economic Planning Sciences.
Larger Groups of Students Use AI More Effectively in Learning
Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.
Advancing Personalised Therapy for More Effective Cancer Treatment
Researchers from the International Laboratory of Microphysiological Systems at HSE University's Faculty of Biology and Biotechnology are developing methods to reduce tumour cell resistance to drugs and to create more effective, personalised cancer treatments. In this interview with the HSE News Service, Diana Maltseva, Head of the Laboratory, talks about their work.
Master’s Students of HSE, University of Campinas, and Tsinghua University Publish Joint Student Research Collection
Master’s students of the HSE ISSEK programme ‘Science, Technology and Innovation Management and Policy’ have released a joint research collection with the University of Campinas (Brazil) and Tsinghua University (China) titled ‘Being Innovative or Being on the Safe Side—Managing the Risk of Failure.’ The authors explore how organisations perceive risks and embrace innovation within different cultural contexts.
‘A Turn Away from Stereotypes’: Moscow Hosts ‘Researching the Deaf Community’ Conference
On October 17–19, 2025, the third annual interdisciplinary conference ‘Researching the Deaf Community 2025: on the Periphery of Attention’ took place at GES-2 House of Culture in Moscow. The event was organised with the participation of the HSE International Laboratory for Social Integration Research. HSE University Vice Rector Irina Martusevich addressed attendees at the opening ceremony.
Exploring the Mind: HSE Scientists Discuss Cognitive Technologies of the Future
Why we make irrational decisions, how the brain responds to fakes, and whether neural networks are capable of thinking—these were the topics discussed by early-career scientists of HSE University during the NAUKA 0+ science festival. The event brought together students and experts from various fields, united by a common goal—to deepen their understanding of the human brain and cognitive technologies.
HSE Researchers Assess Creative Industry Losses from Use of GenAI
Speaking at the IPQuorum.Music forum on October 15, Leonid Gokhberg, HSE First Vice Rector, and Daniil Kudrin, an expert at the Centre for Industry and Corporate Projects of HSE ISSEK, presented the findings of the first study in Russia on the economic impact of GenAI on creative professions. The analysis shows that creators’ potential losses could reach one trillion roubles by 2030.
International Dialogue on Urban Development: Dynamic Urbanism and Green Infrastructure
In September 2025, the HSE Faculty of Urban and Regional Development (FURD) hosted a delegation of leading scholars and urban development experts from China. Two seminars were held at the Shukhov Lab with the participation of Chinese colleagues: the first focused on green infrastructure, while the second explored the theme of dynamic urbanism. In addition, a meeting between the Chinese delegation and representatives of FURD took place at the university’s main building on Pokrovsky Bulvar. The participants discussed opportunities for expanding cooperation between universities and research centres.
Designing an Accurate Reading Skills Test: Why Parallel Texts are Important in Dyslexia Diagnosis
Researchers from the HSE Centre for Language and Brain have developed a tool for accurately assessing reading skills in adults with reading impairments. It can be used, for instance, before and after sessions with a language therapist. The tool includes two texts that differ in content but are equal in complexity: participants were observed to read them at the same speed, make a similar number of errors, and understand the content to the same degree. Such parallel texts will enable more accurate diagnosis of dyslexia and better monitoring of the effectiveness of interventions aimed at addressing it. The paper has been published in Educational Studies.