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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Моделирование государственной состоятельности постсоциалистических стран

Политическая экспертиза: ПОЛИТЭКС. 2012. Т. 8. № 1. С. 238–264.
Stukal D., Khavenson T.

The paper is focused on methodology of modeling state capacity developed within Research Project 47.0 Quantitative and Qualitative Analysis (including QCA) of Factors of Development and Decline of Statemanship of Socialist and Post-Socialist Countries in Europe and Asia at the Second Half of the XX Century and the Beginning of the XXI Century, carried out at the National Research University of Higher School of Economics. We discuss the importance of measuring state capacity in the context of comparative politics and present approaches to the construction of vector indices of state capacity and its typology. We also review contemporary approaches to latent variables measurement and analyze difficulties of their application in small-N research. Then, a combination of principal component and cluster analyses are proposed as an alternative. Finally, we use Qualitative Comparative Analysis (QCA) based on Boolean algebra to reveal factors influencing state capacity in post-communist countries, and discuss preliminary results of the project in progress.

Priority areas: sociology
Language: Russian
Full text
Keywords: государствоBoolean algebrastatestate capacitymeasurementcluster analysisprincipal component analysisqualitative comparative analysisгосударственная состоятельностьизмерениекачественный сравнительный анализкластерный анализметод главных компонентБулева алгебра
Publication based on the results of:
An Analysis of the Factors behind the Development and Decline of Stateness in Socialist and Post-Socialist Countries of Europe and Asia from the Second Half of the 20th Century to the beginning of the 21st Century, through the Use of  QCA (Qualitative Comparative Analysis) (2011)
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