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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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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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