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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Социальная технология оказания социальной помощи семьям с детьми: опыт внедрения и оценка эффективности

Мониторинг общественного мнения: Экономические и социальные перемены. 2023. № 5. С. 3–25.
Iarskaia-Smirnova E. R., Rozhdestvenskaya E., Abramov R., Борзов С. П., Aleksandrova M.

The article presents the study of the effectiveness of casework technol-ogy aimed at restoring the family’s abili-ty to independently cope with difficult life situations and satisfying the child’s basic needs. The evaluation is implemented in a mixed qualitative-quantitative method-ology and employs a model of technology management assessment in terms of W. Trochim. A qualitative assessment of the technology was carried out using semi-structured interviews with case managers and supervisors. The quantitative stage included a statistical analysis of family monitoring data obtained during the implementation of the tech-nology in six selected Family and Child Care Centers in Moscow. The authors estimate correlations and descriptive statistics for various indicators and test proposed monitoring scales for inter-nal consistency using Cronbach's Alpha coefficient.

Analysis of the interviews allowed to iden-tify the main components of the tech-nology’s success and barriers that may stand in the way of its successful implementation. The advantages of the analyz-ed technology include systematicity, consistency, coherence, internal consistency of the stages, high accuracy and quality of the provided diagnosis of family problems, the potential for early identification of risks of a crisis situation in the family, the emergence of tools understandable to a specialist, the possibility of formalizing, organizing and archiving case work. Barriers to the successful implementa-tion of the technology are associated with the high workload of supervisors, in-cluding large volume of paperwork, lack of support and mentorship for supervisors, and the complexities of the technology description language, which at the same time creates the potential of its optimization. The quantitative data ob-tained indicate the presence of positive dynamics in the state of families in general, including a reduction in the risk of child abuse in the family.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: эффективностьоценкасоциальная работаeffectivenessassessmentsocial workсемья и детиfamily and childrencase work technologyrisk preventionsocial technology implementationтехнология работы со случаемпрофилактика рискавнедрение социальных технологий
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