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News
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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A Contribution of Cognitonics to Secure Living in Information Society

Informatica. 2012. Vol. 36. No. 2. P. 121–130.
Fomichov V. A., Fomichova O. S.

The paper grounds the necessity of much earlier socialization of children in the Internet age. The main goal is to make children (including teenagers) be aware of possible social consequences of their misuse of information and communication technologies, in particular, of the cell telephones and the Internet. An original method of early forming the cognitive subspace of moral values and social responsibility is stated. It is a part of the System of Emotional-Imaginative Teaching (the EIT-system) developed and successfully tested by the authors during 1990s – 2000s. For describing this method, a new formal notation for representing transformations of the learners’ cognitive-emotional sphere and the spectrum of information processing skills is proposed, it is called the notation of the maps of cognitive transformations. The described method of early socialization and the EIT-system as a whole are interpreted as an important component of cognitonics - a new scientific discipline. The paper also represents a new way of considering impressionism under the frame of cognitonics. An original algorithm of transforming the negative emotions (caused by the messages received from social networks) into the positive ones is proposed. This algorithm considers the possible reactions of a human (including the recommended reactions) to the emotional attacks via social networks. It is proposed to include an analysis of the kind into the program of the interdisciplinary course “Foundations of secure living in information society”.

Research target: Computer Science Psychology Sociology (including Demography and Anthropology Education Philosophy, Ethics, and Religious Studies
Priority areas: sociology humanitarian
Language: English
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Keywords: социальные сетиsocial networksкогнитоникапсихология личностиранняя социализацияearly socialization of childreninformational-aesthetic conception of developingcognitive-emotional spherecognitive transformationtheory of dynamic conceptual mappingsemotional-imaginative teachingalgorithm of resistingemotional attacksинформационно-эстетическая концепция развитиякогнитивно-эмоциональная сферакогнитивные преобразованиятеория динамических концептуальных отображений, методы эмоционально-образного обученияэмоционально-образное обучениеэмоциональная атакаалгоритм сопротивлениякультура и личностьсоциальные нормы и ценноститеория дополнительного образованиямодели восприятия информации в интеллектуальных системах
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