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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Творческая продуктивность ученых старшего возраста

Acta Biomedica Scientifica. 2022. Т. 7. № 2. С. 233–242.
Поставнев В. М., Поставнева И. В., Песков В. П., Dvoinin A.

The article presents the results of studying the personality characteristics of elderly scientists who have maintained scientific productivity for a long time. The problem that has to be solved and has got a huge scientific and practical significance is to find the psychological preconditions for the peak achievements of scientists and to define the social and psychological factors that contribute to maintaining the high productivity of elderly scientists for a long time.

The aim of the study is to determine the key personality traits of famous elderly scientists at the stages of their professional development.

Research methods. The presented data were obtained using the research interview “Life Values and Life Path”, developed by V.S. Mukhina. Empirical material was collected in the course of interviewing famous Russian scientists of older age (from 65 to 94 years old), involved in research activities and making a significant contribution to the development of the humanities and technical sciences. When forming the sample, we followed the logic of V.S. Mukhina, who interviewed older scientists who are the founders and leaders of well-known scientific schools, who have a doctorate in science, the academic title of professor, membership in the academy of the Russian Academy of Sciences, Russian Academy of Medical Sciences or Russian Academy of Education and continue active scientific work. Data on the peak achievements of older scientists were taken from the scientometric databases of the Russian Science Citation Index and the Russian State Library.

Results. The data representing the peak achievements of the elderly scientists were taken from the scientometric databases and interpreted according to the provisions of differential and acmeological analysis for professional activities of scientists. The analysis of interviews, autobiographical descriptions and peak achievements of the elderly scientists allowed to reveal that the peak achievement (acme) is the joint result of psychological preconditions (personal traits of scientists, physical conditions) and social conditions of professional activity (social status of a scientist, belonging to a scientific school, availability of organizational and financial resources). The several productive periods, which are called within the acmeology field as “micro-acme”, can be indicated in the scientific work of elderly scientists throughout the period of their scientific activity. At the same time, the peak achievements of scientists as a rule are spaced in time with an optimal combination of preconditions and conditions for scientific creativity.

Research target: Psychology
Language: Russian
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Keywords: личность ученогонаучное творчествоscientific creativityнаучная продуктивностьpersonality of scientistdifferential and acmeological analysisscientific productivityscientometric databasesдифференциально-акмеологический анализученые старшего возраста
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