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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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Human-Centered Digitalization and Services

Singapore : Springer, 2019.
Under the general editorship: M. Toivonen, E. Saari

This book provides a timely overview of the impacts of digitalization from the perspective of everyday life, and argues that one central issue in digitalization is the development of new types of services that digitalization enables, but which are often overlooked due to the focus on new technologies and devices. The book summarizes the past 20 years of research into the relationship between information and communications technology (ICT) and service innovation, and reveals that the ongoing digitalization is a qualitatively different phenomenon and represents a true paradigm shift.
The all-encompassing integration and distribution of data raises critical issues such as preserving human dignity and individual autonomy; moreover, interaction practices that foster broad participation, trust, learning, and a willingness to share knowledge are called for. Citizen empowerment and multi-actor co-creation have become central to using digitalization to support the development of wellbeing and sustainability.
Further, the book shows how employees and professionals can and should be involved in designing their future work, and in evaluating it. Proactiveness and participation in innovation endeavours are ways to guarantee meaningful work in an age of socio-technical transition.
The book employs a variety of theoretical approaches and perspectives from diverse disciplines to illustrate these needs. In addition to theoretical analyses, some specific application areas are examined, e.g. services in health and social care, and problems linked to robots in elderly care. Given its scope, the book is highly recommended to all readers seeking an overview of the current understanding of the human side of digitalization and searching for concrete cases from different countries to illustrate the topic.

Chapters
Transformations of Services
Miles I. D., , in: Human-Centered Digitalization and Services.: Singapore: Springer, 2019. Ch. 1 P. 3–15.
. ...
Added: September 3, 2019
Priority areas: economics
Language: English
DOI
Text on another site
Keywords: innovationpublic servicesservices
Human-Centered Digitalization and Services
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