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News
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.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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A Toolkit for Integrated Roadmaps: Employing Nanotechnologies in Water and Wastewater Treatment

P. 137–159.
Karasev O., Vishnevskiy K.

Integrated roadmaps can be effective instruments for forecasting and planning in the sphere of emerging technologies, as long as certain requirements are fulfilled. These requirements include: (1) the creation of a group of experts who can provide the necessary level of expertise concerning key issues related to the development of the subject area; (2) accumulation of a sufficient background information; (3) establishing an adequate sequence of Foresight methods, integrating those that are more of creative, interactive, expert- and evidence-based methods; (4) Integrating consideration of both market- pull and technology-push approaches, and (5) recognising the different kinds of effects that may be associated with implementing various new technologies. We illustrate this with the case of wastewater treatment. Roadmapping allows for the elaboration of comprehensive innovation strategies, both for short-run time frames (focusing on the commercialization of products with high market readiness), and for longer-term strategies for water sector development. The methodology allows for examining both the direct and indirect effects of the implementation of emerging technologies in the area studied, and makes it possible to outline possible future developments of the technologies considered in related sectors. The main limitation of the method as currently used may be that it is difficult to give sufficient consideration to the indirect effects of using innovative technologies, when we are dealing with fields that feature many interfaces across the economy.

Language: English
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Keywords: foresightroadmappingnanotechnologies
Publication based on the results of:
Forming effective science, technology and innovation policy:methods and instruments (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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