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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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"НЕЗРИМЫЙ КОЛЛЕДЖ" МЭШ

Вестник Московского городского педагогического университета. Серия: Информатика и информатизация образования. 2022. № 2. С. 38–52.
Patarakin Y., Burov V.

To analyze the interactions of teachers within the project "Moscow Electronic School" (MES) system, we use the theoretical framework defined by the concept of "Invisible college". The aim of the study is to map the structure of connections that are formed between teachers of the MES based on the analysis of digital traces. The objectives of the study were to: highlight the networks of the most influential work in the ield of team science and collaboration analytics; to identify groups of teachers by means of network analysis, united by mutual copying of the scenarios of the lessons of the Moscow e-school; explain the network phenomena observed inside the Moscow school, supported by the results of modeling the behavior of teachers in an artiicial community. The leading research methods were the methods of organizational network analysis and agent-based modeling. Mapping of groups of participants made it possible to establish that more than 75 % of participants, united by links of mutual copying of lesson scenarios, are part of a giant component. Experiments with variants of Team Assembly models made it possible to substantiate the assumption that new participants with a probability of more than 60 % tend to choose experienced participants for collaborative activities.

Research target: Education
Language: Russian
DOI
Text on another site
Keywords: R MESagent-based modellingNetLogoNetlogoTeam ScienceМЭШнезримый колледж
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