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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 "Foresight for STI" – News

Professor of HSE University has delivered keynote speech at inauguration ceremony of the China-BRICS Research Center

Professor of HSE University has delivered keynote speech at inauguration ceremony of the China-BRICS Research Center
At inauguration of the China-BRICS New-Quality Productive Forces Research Center in China Professor Alexander Sokolov, Deputy Director of the HSE University Institute for Statistical Studies and Economics of Knowledge (ISSEK), delivered a presentation on a role of foresight studies in strategic planning. The event took place on March 25, 2026 in Beijing under the Zhongguancun (ZGC) Forum Annual Conference.

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.