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October 30, 2026
‘This Format Turned Each Presentation Into a Collaborative Effort to Assess the Robustness of the Study
On October 16, 2026, HSE ICEF hosted the Eighth International Conference on Applied Economics. Held fully on-site, the conference brought researchers from HSE University, the New Economic School, Wuhan University, and Shandong University together in Moscow. The programme was organised around three overarching themes— ‘Environment, Resources and Policy,’ ‘Migration, Labour, and Communication,’ and ‘Consumption, Behaviour, and Climate—offering an opportunity to see how similar economic mechanisms operate in China, Pakistan, the United States, and Russia.
October 23, 2026
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Anastasiia Deeva studies the socio-economic consequences of excess weight in Russia. In an interview for the Young Scientists of HSE University project, she spoke about why beauty cannot be measured, her desire to write a novel, ‘Dostoevskian’ burnout, and working at the hotel where The Shining was filmed.
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Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.

 

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Российская модель использования ИИ в цифровых экосистемах медиакоммуникационной индустрии

Вестник Московского университета. Серия 10: Журналистика. 2025. № 5(50). С. 23–53.
Vartanov S., Tyshetskaya A.

Media has been at the forefront of digital transformation in recent years: not only have the methods of creating, selling, storing, and consuming media content and media services changed, but also the structure of the media communication industry (MCI) itself. Considering its new structure and subjectivity, one cannot help but pay attention to artificial intelligence (AI) technologies that manifest themselves in the areas of communication, content generation, and processing of big data created by users in media communications processes. AI as a set of relevant technologies and related social relations has become an important characteristic of media communications, influencing the interactions of the subjects actively existing in them. In this context, digital ecosystems (DES), which have become key actors structuring the MCI and the digital media environment, are of particular interest. It was AI technologies that played a decisive role in the transformation of media platforms into media DES; therefore, the current research issue to which this article is devoted is the analysis of their contribution to the AI transformation of the whole media communication industry. The conducted analysis of data on the functioning and genesis of AI technologies in the Russian MCI allowed us to identify two qualitatively different models of the use and development of AI technologies in it: an ecosystem model based on leadership and extensive market capture and a media model focused on optimization through AI solutions of internal processes.

Research target: Media and Communications Computer Science
Language: Russian
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Keywords: media communicationмедиакоммуникацияdigital ecosystemцифровая экосистемаmedia platformмедиаплатформаartificial intelligence in mediadigital and social mediaискусственный интеллект в медиацифровые и социальные медиа
Publication based on the results of:
Исследование цифровых экосистем как новых субъектов медиакоммуникационной индустрии и элементов национальной медиасистемы (на основе разработки кейсов Яндекс и VK) (2025)
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