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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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Information exchange, meaning and redundancy generation in anticipatory systems: self-organization of expectations–the case of Covid-19

International Journal of General Systems. 2022. Vol. 51. No. 7. P. 675–690.
Ivanova I.

The paper focuses on the link between the dynamics of information and system evolution. Information, exchanged between different system’s parts, before being processed is first provided with meaning by the system. Meanings are generated from the perspective of hindsight, i.e. against the arrow of time. The same information can be differently interpreted by different system’s parts (i.e. provided with different meanings) so that the number of options for possible system development is proliferated. Some options eventually turn into observable system states. So that system evolutionary dynamics can be considered as due to information processing within the system. The model under study is Triple Helix (TH) model, conceptualized in the framework of three compartment model used to describe infectious diseases. The paper demonstrates how the dynamics of information and meaning can be incorporated in the description of Covid-19 infection propagation. The results show correspondence of model predictions with observable infection dynamics. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

Research target: Economics and Management Other social sciences
Language: English
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Keywords: modelinformationnon-linearityredundancyCOVID-19
Publication based on the results of:
Impact of climate change agenda on innovation actors’ behaviour (2022)
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