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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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Eurasia and Externalities of Migration Control: Spillover Dynamics of EU-Russia Cooperation on Migration

P. 154–175.
Korneev O., Leonov A.

This chapter focuses on EU–Russia cooperation on migration and extends this analysis geographically and  conceptually – to include countries of origin and transit for migrants coming to Russia and to trace the impact of EU
migration policies far beyond its immediate neighbourhood. It shows that externalization of EU migration policy significantly affects countries that do not have the same degree of direct involvement with the EU as its European
Neighbourhood Policy (ENP) partners and involves problematic externalities for the EU normative engagement in Eurasia. First, the chapter provides a brief picture of the developments in EU–Russia cooperation on migration
control. Second, the chapter analyses the place of the readmission agreement in this cooperation. Third, it traces the milestones of Russia–Central Asia relations on readmission and demonstrates the role of the EU in shaping Russia’s priorities, as well as regional migration management dynamics. The chapter argues that the EU–Russia cooperation on migration control has triggered significant spillover dynamics in the wider Eurasian region, as well as in the Middle East, South and South East Asia. Attention to what happens beyond the framework of the EU–Russia readmission agreement can help us get better insights about the degree of EU success in the externalization of its migration  control approaches. Finally, the chapter points to several important normative issues and contradictions – externalities of EU policies – stemming from the spread of readmission agreements in the region where human rights of migrants and persons seeking international protection are not guaranteed.

Language: English
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Keywords: Европейский СоюзЦентральная АзияРоссияRussiaEuropean UnionCentral Asiaиммиграционный контрольSpillover effectsreadmissionреадмиссияmigration managementуправление миграциейmigration controlэффект переливания

In book

Externalizing Migration Management: Europe, North America and the Spread of ‘Remote Control’ Practices
L.: Routledge, 2016.
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