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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
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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
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Biological and Social Phases of Big History and Complexity Growth

Ch. 12. P. 283–355.
Leonid Grinin, Alexander M., Korotayev A.

In the first half of this chapter, Grinin et al. survey general similarities and differences between biological and social macroevolution. They undertake a systematic comparison between biological and social evolution at different levels of analysis and in various aspects, formulating a considerable number of general principles and rules of evolution, and working to develop a common terminology to describe some key processes in biological and social evolution. In the second half, they consider a specific mathematical model capable of describing important features of both biological and social macroevolution. In mathematical models of historical macrodynamics, a hyperbolic pattern of wor ldpopulation growth arises from nonlinear, second-order positive feedback between demographic growth and technological development. Based on diverse paleontological data and an analogy with macrosociological models, Grinin et al. suggest that the hyperbolic character of biodiversity growth can be similarly accounted for by nonlinear, second-order positive feedback between biodiversity growth and the complexity of community structure. They further discuss how such positive feedback mechanisms can be modeled mathematically.

Language: English
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Keywords: complexity mathematical modelpopulation growthbiodiversityBig Historybiological evolutionhyperbolic growthsocial evolutionUniversal evolutionPositive feedback

In book

Complexity in Universal Evolution. A Big History Perspective
Complexity in Universal Evolution. A Big History Perspective
David J. L., Leonid Grinin, Korotayev A. Springer, 2026.
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