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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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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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