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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
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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Innovation Surveys as Evidence for Technological Upgrading and Catch-Up Studies

Ch. 6. P. 160–189.
Roud V.

This chapter looks at the contribution to the innovation capability measurement that is made through innovation surveys. The increased availability of data at the firm level provides new and comprehensive indicators on the accumulation of innovation capabilities. Better understanding of long-term dynamics and the heterogeneity of sectoral trajectories of innovation capabilities sets the stage for adaptable and targeted innovation policy and facilitates new insights on the technology upgrading and economic catch-up mechanics. The chapter presents an approach to assessing innovation capabilities at the national and sectoral levels using composite indicators of output-based innovation modes and illustrates the proposed ideas using the data from the Russian innovation survey. The proposed indicators bring empirical evidence to the discussions of path dependence and gradual change in the technological upgrading studies. Identification of the heterogeneity of innovation capabilities at firm and industry level contributes to a more profound understanding of the upgrading dynamics and helps to draw implications for effective policymaking.

Language: English
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Keywords: innovation modesheterogeneityfirm-levelinnovation surveystechnological upgradingtaxonomiesinnovation capabilities
Publication based on the results of:
An empirical study of the framework conditions for innovation in manufacturing, knowledge intensive business services and creative industries (2021)

In book

The Challenges of Technology and Economic Catch-up in Emerging Economies
Oxford University Press, 2021.
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