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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Современный мировой ландшафт онлайн-обучения наукам о данных

Высшее образование в России. 2022. Т. 31. № 4. С. 129–147.
Лукашенко М. А., Никольский В. С., Sharova E.

Data science as an emerging branch of applied knowledge and a new field of study
is showing a strong momentum. Besides, the corresponding sphere of educational research is
actively developing. At the same time, most of the scientific publications are aimed at studying
specific issues related to the content of the programs and their methodological support. The
wider context and especially the international perspective are lacking for the necessary atten-
tion of researchers.
In this regard, the purpose of our study was to summarize and systematize information about
training programs in the field of data science presented on online platforms of the main macro-re-
gions – America, Europe and Asia. For this purpose, we found out what elements the corpus of data
science training programs consists of, as well as how courses are distributed on educational plat-
forms by countries, organizational providers, level of education and duration of study. Based on the
data obtained, we conducted a comparative interregional study of educational programs presented
on online platforms.
The findings made it possible to draw conclusions about the specifics of the global landscape of
data science online education, as well as to determine the specifics of the Russian segment and to
formulate recommendations for solving significant problems of the domestic economy using data
science online education.

Research target: Education Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: обучениеlearningбольшие данныеbig dataнауки о данныхmassive open online courses (MOOCs)онлайн-платформы data scienceМассовые образовательные онлайн курсы (МООК)online platforms
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