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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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Integration of Trend Monitoring into STI Policy

P. 11–32.
Saritas O.

Monitoring trends is a key requirement for national and corporate policy makers to stay up-to-date with socio-economic and technological transformations, to anticipate emerging developments at the global and local levels, and to use this intelligence to prioritize areas for innovation and investment. This chapter aims at discussing how the results of trend monitoring can be integrated into the process of Science, Technology and Innovation policy formulation and business Research & Development planning processes. The chapter starts with an overview of the relevant innovation literature that gives a background in a broader theoretical context, where the technology monitoring activities can be better justified conceptually. This background provides to generate two models, which will portray positioning and functioning of Global Trend Monitoring in the policy and business planning process. Some practical aspects of how and in what form the results of Global Trend Monitoring should be provided to the target communities of policy makers and business planners are elaborated throughout the chapter.

Language: English
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DOI
Text on another site
Keywords: STI policyinnovation systemcorporate strategytrendtrend monitoringR&D strategy
Publication based on the results of:
Monitoring of global technology trends: development of approaches for computer-based trend identification (2016)

In book

Deploying Foresight for Policy and Strategy Makers: Creating Opportunities Through Public Policies and Corporate Strategies in Science, Technology and Innovation
Deploying Foresight for Policy and Strategy Makers: Creating Opportunities Through Public Policies and Corporate Strategies in Science, Technology and Innovation
Netherlands: Springer, 2016.
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