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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.
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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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The wisdom of crowds and transfer market values

European Journal of Operational Research. 2022. Vol. 301. No. 2. P. 523–534.
Coates D. C., Parshakov P.

Crowd-sourcing of information has become popular in the years since James Surowiecki published The Wisdom of Crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. In sports, crowd-sourced estimates of players’ values and abilities are common, particularly in football where salary information is generally unavailable. The analysis here first considers the characteristics of a good crowd-sourced value then turns to an empirical analysis which applies those characteristics and their implications to assess the quality of the commonly used crowd-sourced values from Transfermarkt. Our empirical results show systematic influences from some obvious factors indicating that the crowd-sourced transfer fees are biased as predictors of the true market determined fees. The findings are useful because they address the question of whether these values can reasonably be used as proxies for unknown salary in academic research. Additionally, because Transfermarkt values are often used in negotiations between clubs and players, it is useful to both parties to know the accuracy and the bias of the crowd-sourced values.

Research target: Economics and Management Computer Science Mathematics
Language: English
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Keywords: footballкраудсорсингdecision supportмировой футбол
Publication based on the results of:
Management of human resources and technologies: challenges of digital native generation (2022)
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