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May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.
May 22, 2026
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Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.

 

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Роль социальных медиа в формировании регионального экологического протеста в России

Мониторинг общественного мнения: Экономические и социальные перемены. 2021. № 6. С. 28–52.
Klimova A. M., Куликов С. П., Chmel K.

In 2018—2019, Arkhangelsk Oblast took one of the leading positions among all regions of Russia in terms of protest activity. This was caused by the decision of the regional authorities to construct a landfill for the disposal of solid household waste from Moscow and Moscow Oblast at Shies station. Taking into account the fact that social media played a key role in mobilizing citizens, the authors of this study aimed to identify the role of discussions in social media concerning the construction of a landfill in increasing the protest activity of the Arkhangelsk Oblast residents. Empirically, the study bases on the data of a representative population survey and the nonreactive data collected from the «VKontakte» public groups discussing the construction of a landfill.

The study revealed that more frequent social media discussion of landfill construction at an individual level increased the likelihood of participating in protest activities. In addition, the authors found a group effect of the discussion: an increase in the number of members of protest communities, as well as the prevalence of reposts of their information at the level of municipal districts of Arkhangelsk Oblast, increased the protest activity of citizens. Finally, it has been shown that participation in protests depends on the information environment: in the areas where the problem is discussed more actively, the effect of the observed individual discussion is higher. Thus, to assess the impact of media activity on political protests, it is important to take into account not only two different levels of discussion, but also the interaction between them.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
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Keywords: политическое участиесоциальные медиаpolitical participationполитический протестpolitical discussion social mediapolitical protestecological protestэкологический протестполитическое обсуждение
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