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News
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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Proactive Behaviour In The Face Of Uncertainty: Higher Education System For Employees Of The Future

P. 453–460.
Shipkova O., Korshunova N., Nikolay Kulyasov, Shataeva O.

The paper analyzes the challenges of the external environment for economic actors, which are transformed into special requirements of employers for employees. The main purpose of this stage of the study is to identify the components of a comprehensive behavioral model that determines the competitiveness of an economic actor in the new conditions of the modern VUCA-world and are characterized by their proactive position with respect to uncertainty. Moreover, the pool of tools and behavioral patterns are classified taking into account their economic efficiency and expediency in the conditions of various types of uncertainty (from complete certainty to deep uncertainty). The object under consideration is the "enterprise / employer - university - state" system in Russian Federation. The analysis includes the components of the project-based educational environment, connecting the elements of the "enterprise / employer - university - state" system and contributing to the formation of the behavioral characteristics of successful economic actors under conditions of deep uncertainty. An additional effect is the development of appropriate behavioral skills by university graduates who have been trained in such educational environment.
The paper focuses on the analysis of the “unknown unknown” area (the concept of deep uncertainty). On a traditional risk-map, this is a proactive position with respect to the upper left quadrant, which can become crucial for the competitiveness of the state and individual economic entity. The goal of a modern economic actor is to ensure competitiveness during the period of technological breakdown, when a transition to a fundamentally new technology occurs. We consider the tools for economic actors to achieve a high degree of “anti-fragility” (in the terminology of N. Taleb). In the paper instruments supporting the decision-making process and shaping behavior in conditions of deep uncertainty are adapted for the object of study. Interaction design within the educational environment is based on a taxonomy of approaches and tools for decision-making under deep uncertainty (by J. H. Kwakkel and M. Haasnoot).

Language: English
DOI
Text on another site
Keywords: decision-makingdeep uncertaintyVUCA-worldBehavioral Economics of Education behavior model

In book

7th SWS International Scientific Conference on Social Sciences ISCSS 2020
Vol. 7. Book 1. , SGEM, 2020.
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