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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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?

Modeling Social Self-Organization and Historical Dynamics: Africa’s Futures

P. 461–490.
Korotayev A., Shulgin S., Ustyuzhanin V., Zinkina J., Leonid Grinin

This chapter presents forecasts for the emergence of large-scale political and demographic collapses and for the economic growth of some countries in Sub-Saharan Africa (SSA), where the likelihood of armed civil conflicts and population impoverishment is the highest in the coming decades. Korotayev et al. apply several advanced mathematical models: (1) to forecast the risks of armed conflict, where population, median age, and education are the main explanatory factors; and (2) to forecast economic growth, which is a function of the same variables and risks of large-scale armed civil conflicts. It is important to note that mathematical models consider the interaction of explanatory factors with each other, thereby creating feedback effects. Using these methods, Korotayev et al. calculate three possible scenarios for the development of each of the countries under consideration in the twenty-first century: (1) a pessimistic one, (2) an inertial one, and (3) an optimistic one assuming the achievement of sustainable development goals (SDGs) by 2030. The modeling results suggest that the Sahel could become the most disadvantaged region. The four countries of this region are characterized by: (1) a negligible difference between the inertial scenario and the pessimistic scenario; (2) extremely high risks of full-scale civil wars in the near future; and (3) reaching the level of middle-income countries only by the end of this century, even under the most optimistic scenario. Korotayev et al. conclude that the main way of mitigating the risks of sociodemographic collapses is rapid progress toward achieving the SDGs in the very near future, which seems impossible without adequate support from the world community.

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Keywords: Sustainable Development Goals (SDGs)political collapsesdemographic collapsesthe economic growth

In book

Reconsidering the Limits to Growth. A Report to the Russian Association of the Club of Rome
Reconsidering the Limits to Growth. A Report to the Russian Association of the Club of Rome
Springer, 2023.
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