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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.
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‘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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Multisector Bounded-Neighborhood Model: Agent Segregation and Optimization of Environment’s Characteristics

Mathematical Models and Computer Simulations. 2022. Vol. 14. No. 3. P. 503–515.
Akopov A. S., Beklaryan L. A., Beklaryan A.

An approach is presented to study the effects of segregation using the developed multisector bounded-neighborhood model. A model of the evolutionary dynamics of a community consisting of local (indigenous) and external (migrants) populations interacting in an artificial socioeconomic system is proposed, in which the key sectors of the economy are identified: the extraction of raw materials (primary sector, attracting mainly migrants), the manufacturing sector (secondary sector attracting predominantly indigenous people), and low-tech and high-tech services (tertiary and quaternary sectors of the economy attracting migrants and indigenous people, respectively). The formation of jobs in these sectors of the economy is carried out centrally using the previously proposed fuzzy clustering algorithm. Simulation experiments are carried out, and the effects of segregation due to the desire of agents to search for the most desirable jobs in a bounded neighborhood under various scenario conditions are studied. Using the proposed genetic algorithm, an important optimization problem is solved to maximize GDP growth rates and minimize the level of the population’s segregation.

Research target: Mathematics Computer Science
Language: English
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Keywords: genetic algorithmsegregation effectsagent clusteringbounded-neighborhood modelstolerant threshold behavior modelsagent-based modeling of migration and socioeconomic processes
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