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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)

Вестник Томского государственного университета. История. 2026. № 100. С. 112–118.
Loshkareva M. E., Matveeva N.

This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 to 1282 based on the data of Welsh chronicle Brut y Tywysogyon. This was the period of the Gwynedd dynasty’s rise.  Princes of Gwynedd pursued a consistent policy aimed at achieving political unity in Wales and institutionalizing relations with the English crown. The nodes of the networks are the Welsh, English and continental characters mentioned by the Chronicle. The connections between the nodes reflect the wars, alliances or other "peaceful" ties mentioned in the Chronicle (marriage, homage, negotiations, etc.). For a study of this kind, it is fundamental to determine the weight of the links, considering the features of the analyzed source. The importance (weight) of ties was considered by the following rationing: war and union – 1, others – 0.5. This normalization is explained by the traditions of the historical narrative of the era.  Visualization of the network allows us to illustrate the changes that occurred in Wales during the 13th century. Wales ceased to be a region focused exclusively on the Celtic world. In the second half of the 13th century, the number of Anglo-Welsh connections increases dramatically. The construction of graphs that reflect such types of relations as “conflicts” and “alliances” reflect a change of the political vector: constant Welsh internecine conflicts are replaced by an explicit Anglo-Welsh confrontation. Traditionally, the English conquest of Wales is explained by the transfer of the attention of British sovereigns from the continent to Britain, and, of course, the political fragmentation of the region and, as an inevitable consequence, military-political vulnerability. At the same time, the construction of networks demonstrates that Wales was conquered as a formally united principality, weakened not so much by the internal confrontation but by the external pressure.

Research target: History and Archeology Other social sciences Computer Science
Language: Russian
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Keywords: сетевой анализсредневековый Уэльсзавоеваниевизуализацияgraph visualizationconquest network analysis medieval chronicle Medieval Walesсредневековая хроника
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