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Regular version of the site
Article
Assessing Sustainable Development Through Wavelet-Quantile Based Analysis: Comparative Insights From Four Developed Countries

Çelik A., Veselitskaya N., Damrah S.

Sustainable Development. 2026. Vol. 34. No. S2. P. 1274-1301.

Article
Evaluating Delphi survey accuracy in transportation: Evidence from Japanese technology foresight

Niyazov S., Maibakh O., Alexei Sukharev et al.

Technological Forecasting and Social Change. 2026. Vol. 224.

Book chapter
Challenges and Risks to the Inclusion of AI for Environmental Applications

Aleksandrova I., Milshina Y.

In bk.: Artificial Intelligence Enabled Real Time Environmental Monitoring. Springer, 2026. Ch. 10. P. 199-229.

Book chapter
Artificial Intelligence and Environmental Decision Support Systems

Daria Gribkova, Milshina Y.

In bk.: Artificial Intelligence Enabled Real Time Environmental Monitoring. Springer, 2026. P. 231-252.

Book chapter
Artificial Intelligence for Urban Planning and Building Smart Cities

Demekhina A., Milshina Y.

In bk.: Artificial Intelligence Enabled Real Time Environmental Monitoring. Springer, 2026. P. 253-281.

Tag "HSE Development Programme until 2030" – News

HSE Study Reveals Imbalance in the Generative AI Market

HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.

HSE Scientists Identify Effective Models for Training Research Personnel for Industry

HSE Scientists Identify Effective Models for Training Research Personnel for Industry
Experts from the HSE Institute for Statistical Studies and Economics of Knowledge have examined industrial PhD programmes across 19 countries worldwide. The analysis shows that the key components of an effective model include co-funding by universities, industry, and government; dual academic supervision; and flexible intellectual property arrangements. The findings have been published in Foresight and STI Governance.

Foresight: Methods and Practices

Foresight: Methods and Practices
The HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) presents the report "Foresight: Methods and Practices." This publication describes, in a simple and user-friendly format, 28 futures studies methods that have been most actively used in recent years in Russian and international foresight projects.

Delphi Paradox: New Study Showed Disagreements Intensification Under Expert Surveys

AI generated picture
Researchers from the Higher School of Economics (HSE) have systematically criticized one of the pillars of global technology foresight — the Delphi method. Their study ‘Biases in expert judgements in large-scale S&T Delphi Surveys: How to cope with them?’, published in 2025 in ‘Technological Forecasting and Social Change’ journal, shows that classical expert surveys not only do not guarantee objective consensus achieving but often implicitly reinforce bias and dispersion of opinions. Researchers have proposed supplementing the Delphi survey methodology with built-in “protective mechanisms” against potential distortions.

“From Research Tasks to Development Priorities”: AI Foresight Outcomes Were Presented at HSE University

“From Research Tasks to Development Priorities”: AI Foresight Outcomes Were Presented at HSE University
Expert Seminar on comprehensive study outcomes of AI development promising areas conducted in 2024 took place at HSE University Institute for Statistical Studies and Economics of Knowledge (ISSEK). Attendees discussed methodological approaches to determining AI development priorities in research planned for 2025.