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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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Возможности процедур оптимизации в условиях неопределенности при их синтезе с выбором решения по многим критериям

Мягкие измерения и вычисления. 2023. № 5. С. 22–36.
Brodetskiy G., Gusev D., Shidlovskii I., Свиридова О. А.

The aim of the study is to improve and modify a special approach that will allow synthesizing procedures for choosing the best alternatives for many criteria with decision optimization procedures under uncertainty. The proposed approach useы direct methods of multicriteria optimization and methods of choosing solutions under uncertainty. In this case, the following is accepted: 1) the uncertainty factor is formalized as a discrete intervention of a case with a finite number of outcomes; 2) pаrtial criteria are presented in the form of two groups (in one - partial criteria that are influenced by the uncertainty factor; in the other - not); 3) the number of considered alternatives is finite and given a priori. The developed modification is easy to implement and for the first time will allow taking into account the impact of uncertainty factors only on the indicators of some specific particular criteria, which, as a rule, reflects the realities of the relevant situations in practice. A numerical illustration is given on the example of a specific problem.

Research target: Economics and Management
Language: Russian
Full text
Keywords: многокритериальная оптимизацияmulticriteria optimizationchoice under uncertaintyвыбор в условиях неопределенностиspecial synthesis proceduresспециальные процедуры синтеза
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