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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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Understanding social identity through autoethography: Building intercultural communication competencies in higher education classroom.

Ch. 6. P. 140–167.
Plakhotnik M. S.

The purpose of this chapter is to discuss how instructors could use autoethnography as a course assignment to help students understand their cultural identities and build their intercultural communication competences in higher education classroom. Autoethnography is a qualitative research method that helps people examine their relationship with a group or a culture. The chapter provides an overview of literature relevant to intercultural communication competences, social identity, and autoethnography and then describes the author's use of autoethnography in an undergraduate course “Social and Cultural Foundations of Education” taught at a large public university in the United States. In her class, the author uses this method to help students examine their cultural identity, or relationship with groups based on their religion, culture, nationality, ethnicity, or other groups relevant to the course.

   

Language: English
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Keywords: communicationcross-cultural differencesteaching strategiesundergraduate students

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Promoting intercultural communication competencies in higher education
Hershey: IGI Global, 2017.
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