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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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?

Systemic Foresight Methodology

Ch. 6. P. 83–117.
Saritas. O.

Based on the ideas of systems thinking, the Systemic Foresight Methodology (SFM) proposes a framework for designing and implementing Foresight activities. This framework recognises the complexities that emerge due to multifaceted interplays between the Social, Technological, Economic, Ecological, Political and Value (STEEPV) systems. To conducting Foresight systemically, we need to undertake a set of ‘systemic’ thought experiments, in which systems (e.g. human and social systems, industrial/sectoral systems, and innovation systems) are understood and modelled, and hopefully intervened in, for a successful change programme. These experiments are conducted in a series of iterative phases that we label (1) Intelligence (scoping, surveying and scanning phase) (2) Imagination (creative and diverging phase), (3) Integration (ordering and converging phase), (4) Interpretation (strategy phase), (5) Intervention (action phase), and (6) Impact (evaluation phase); (7) an Interaction phase (participation) goes on throughout the activity. The paper describes each of the phases and proposes a set of quantitative and qualitative methods, which can be combined to form research, policy, technology, and innovation paths. The ideas discussed in the light of two Systemic Foresight cases, dealing with Higher Education and Renewable Energy sectors. SFM was used to provide a methodological orientation for these the Foresight exercises, where a variety of methods were selected and combined in line with the objectives of and available resources for the Foresight exercises.

Language: English
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Keywords: форсайтforesightSystemic Foresightсистемный Форсайт
Publication based on the results of:
Monitoring of global technology trends (2013)

In book

Science, Technology and Innovation Policy for the Future — Potentials and Limits of Foresight Studies
Science, Technology and Innovation Policy for the Future — Potentials and Limits of Foresight Studies
Dordrecht, L., Heidelberg, NY: Springer, 2013.
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