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Subject
News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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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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