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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Цифровое сопровождение гуманитарных образовательных программ

Отечественная и зарубежная педагогика. 2026. Т. 1. № 2(113). С. 91–102.
Kornienko S., Ismakaeva I., Senina A.

In the digital age, digital proficiency is becoming a key literacy of the 21st century, particularly relevant for students in humanities education programs. This article proposes a comprehensive model for integrating digital technologies into humanities education at a university. The methodology relies on case studies and design-based research elements, including analysis of regulatory documents, educational programs, student project results and research, and feedback. The theoretical basis is a competency-based approach, which interprets digital competencies as an integrated set of knowledge, skills, values, and reflection. Based on an analysis of the development of students' digital competencies, as well as different approaches to their assessment in Russia and internationally, the paper demonstrates the emergence of a common methodological approach to measuring digital competencies: from multi-level matrices to standardized assessment tools with a focus on practice and ethics. The focus is on the local ecosystem of programs at HSE University, Perm campus: Data Culture courses, specialized disciplines, project work, the use of AI with ethical declarations, and public presentations of results. The results demonstrate the effectiveness of the model: an increase in the representation of student projects at conferences (up to half of all projects in a student group), the integration of students into real-world research, interdisciplinary collaborations, and systemic feedback for program adjustments. Students master adapted tools—from no-code visualization to YandexGPT prompting and other generative AI models—to solve professional problems. The resulting competency development model becomes the "digital foundation" for humanities educational programs. This is achieved through the seamless integration of digital solutions into students' academic and research projects and improves the quality of graduate training in line with relevant frameworks (UNESCO, DigCompEdu).

Research target: Education
Language: Russian
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Keywords: компетентностный подходкейс-стадипроектная деятельностьcase studiesproject activitiescompetency-based approachdigital humanitiesdigital humanitiesцифровые компетенцииData Culturedata culturedigital ecosystemцифровая экосистемаdigital competencies artificial intelligenceискусственный интеллект (ИИ)humanities educational programsгуманитарные образовательные программы
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