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Subject
News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Поп-культура, фэндомы и нейросети: фанаты встречаются с ИИ

Мониторинг общественного мнения: Экономические и социальные перемены. 2024. № 5. С. 183–202.
Nim E.

The article is dedicated to the analysis and conceptualization of the processes of dissemination of AI technologies in fan culture. The author examines fandoms as mediatized creative communities, reveals the relationship between artificial intelligence and fan culture, and identifies the practices of generative AI reception using the example of two fan communities (the Fandom wiki platform and the Archive of Our Own fan works repository). The article highlights the main lines of intersection between AI and fandom: AI technologies modify objects of fan interest; change the space, structure and creative practices of fandoms; are integrated into innovative fan services; are used for fandom analytics; foreground issues of ethics and law in participatory cultures. The expansion of artificial intelligence (neural networks in particular) has caused a polarization of fandom: while some fans actively use neural networks to edit and create content, others consider it inappropriate. Preliminary observations in two fan communities showed that critical and protest fan discourses around generative AI are focused on three ideas: a) the use of AI contradicts the concept of fandom; b) today's AI as a technology is imperfect; c) current practices in AI training and application are unethical. The article outlines further prospects for studying the interaction of fandoms with artificial intelligence, which will expand the boundaries of both fan studies and social studies of AI.

 

 

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: искусственный интеллектpopular cultureпопулярная культураfan cultureгенеративный ИИ artificial intelligenceфэндомыfandomsgenerative AIфан-культура
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