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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Targeted innovation policy and practice intelligence (TIP2E): concepts and implications for theory, policy and practice

The Journal of Technology Transfer. 2015. Vol. 42. P. 460–484.
Carayannis E., Meissner D., Razheva (Edelkina) A.

The paper touches upon the different sides of cutting-edge science, technology and innovation (STI) policy concepts such as clusters and smart specialization and STI management such as open innovation and foresight which are of great interest to researches, scientists and managers in course of building successful business and creating dynamic regions, identifying the priorities of future, coping with uncertainty and rising risks, heated by the global challenges. In particular, we explore the dynamics and interactions of intelligent clusters, research and innovation smart specialization strategies, targeted open innovation and foresight networks within the context of entrepreneurship and innovation ecosystems. Having investigated the benefits and potential threats of open innovation and foresight from different standpoints within innovation ecosystems and smart specialisation, the recent trend of shifting priority setting into technological and social dimensions with the aim of developing specialized clusters and regions is underlined. The identified tight linkage between the fruits from cluster smart specialization, open innovation and foresight enables implementing simultaneously all of them at various stages of innovation process. Thereafter the analysis of innovative collaboration forms reveals that the holistic views of open innovators and rational application of foresight are becoming the central message of the strategy development and implementation process.

Research target: Economics and Management
Priority areas: management
Language: English
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DOI
Text on another site
Keywords: collaborationTargeted Open InnovationResearch and Innovation Smart Specialization StrategiesIntelligent ClustersEntrepreneurship and Innovation EcosystemsInnovation Management ProcessForesight networksHigher order learning
Publication based on the results of:
Science, technology and innovation policy: development of instruments and assessing their efficiency (2016)
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