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Regular version of the site
Article
A multilayered perspective on entrepreneurial universities: looking into the dynamics of joint university-industry labs

Meissner D., Zhou Y., Fischer B. et al.

Technological Forecasting and Social Change. 2022. Vol. 178.

Book
Digital economy, 2022: Pocket data book

Abdrakhmanova G., Vasilkovsky S., Vishnevskiy K. et al.

M.: National Research University Higher School of Economics, 2022.

Article
The evolution of Foresight: What evidence is there in scientific publications?

Saritas O., Burmaoglu S., Ozdemir D.

Futures. 2022. Vol. 137.

Book chapter
Science and Technology Priority Areas in BRICS+ Countries

Sokolov A., Shashnov S. A., Kotsemir M. N.

In bk.: BRICS Comprehensive Innovation Competitiveness Report 2020. Scientific and technical documentation press, 2021. P. 36-98.

Tag "HSE Development Programme until 2030" – News

Delphi Paradox: New Study Showed Disagreements Intensification Under Expert Surveys

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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.