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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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Метод моментальной экологической оценки в социальных исследованиях: возможности и ограничения

Вестник Санкт-Петербургского университета. Серия 12: Социология. 2025. Т. 18. № 1. С. 21–38.
Шарин Н. А., Eritsyan K.

This article focuses on the analysis of the current state of Ecological Momentary Assessment (EMA), a research methodology characterized by frequent real-time measurements in partici-pants’ everyday lives. Based on a review of contemporary scientific literature, the article high-lights the key advantages and challenges associated with the practical application of EMA in empirical social research. The advantages of EMA include the minimization of retrospective bias, high ecological validity, and highly detailed data resolution. Challenges associated with the method involve burden, fatigue, measurement reactivity, decreased motivation and en-gagement, data missingness, and the need to account for meso-context. The paper also identi-fies key solutions to these challenges and assesses their empirical support. Among the most supported solutions are the provision of financial incentives and personalized feedback, which have been shown to effectively address some of the method’s difficulties. On the other hand, solutions such as survey personalization and integration with other methods have not yet been empirically validated and require further investigation. Additionally, the article discusses potential directions for advancing EMA methodology and its applications within the social sciences. Despite EMA’s current limited popularity in this field, its considerable advantages make it particularly valuable for studying practices and interactions within groups and organi-zations. It is also useful for analyzing the impact of social context (such as physical locations and social ties) on individuals’ lives. Further development of the method, including empiri-cal validation, refinement, and comparative analysis of difficulties’ solutions, is anticipated to strengthen its benefits and enhance its overall applicability in empirical social research

Research target: Psychology Sociology (including Demography and Anthropology Other social sciences
Language: Russian
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Keywords: surveyопроссмартфонsmartphoneecological momentary assessmentexperience sampling methodologyecological momentary assessmentExperience Sampling Methodologyмоментальная экологическая оценка
Publication based on the results of:
Mental health research: behavioral and neurophysiological foundations (2025)
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