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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Strategies for emerging research and innovation futures

Foresight. 2016. Vol. 18. No. 3. P. 253–275.
Amanatidou E., Saritas O., Loveridge D.

This paper aims to present a set of strategic options for Research and Innovation (R&I) stakeholders in the light of new and emerging ways of organising and performing research. Design/methodology/approach: The paper first reviews the evolution of the R&I landscape and identifies the most influential stakeholders engaged in R&I. In the light of the scenarios developed for the year 2030, a set of strategic options are identified and assessed for each stakeholder group. Findings: R&I systems are now more complex than 50 years ago and will be even more in the future. Radical changes are expected in terms of the ways research is funded, organised and carried out. Some of these transformations are captured by the scenarios developed. The analysis of scenarios indicated that their feasibility and desirability differ across different sectors of industry, and research areas within the research landscape. Research limitations/implications: Scenarios and strategies presented in the paper bring new considerations on the way research activities are practiced. Further research is considered to be useful on the new modes of research and implications for academia, industry, society and policy makers. Practical implications: The discussion around the responses of different stakeholders vis-à-vis specific scenarios about the future in R&I practices and organisation gives a practical view about how to deal with associated emerging trends and issues. Social implications: Society is a crucial stakeholder of all R&I activities. The transformative scenarios suggest that society will not only be playing a reactive role on the demand side but also more proactive role on the supply side in the decades to come. Originality/value: The paper is based on work undertaken within the Research and Innovation (RIF) 2030 project. As R&I activities will be important for the development and competitiveness of the EU and its member states, the work presented here is considered to be of value by highlighting how to create more resilient strategies in a fast-changing R&I landscape. 

Research target: Economics and Management
Priority areas: economics management
Language: English
Full text
DOI
Text on another site
Keywords: researchinnovationstrategystakeholders scenariosForesight
Publication based on the results of:
Monitoring of global technology trends: development of approaches for computer-based trend identification (2016)
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