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News
June 2, 2026
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.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

 

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?

Targeting STI Policy Interventions – Future Challenges for Foresight

P. 289–292.
Gokhberg L., Sokolov A.

The scope for Foresight studies to contribute to S&T strategy development, at different levels of governance, is growing. But little is known about the actual implementation of the results of Foresight studies, even though these aim to improve innovation capacities and national innovation systems. The design and initiation phase of Foresight studies include the setting of objectives and the identification of themes for the exercise. These activities need to be aligned to the broader perspective and mission of the initiator – and, importantly, to the tendering procedure for launching Foresight activities. At national (and international) level it would be valuable to establish networks and a central database collecting the experiences of these studies, to make them accessible and useful for future Foresight studies. The main focus of such efforts should be on the procedural dimension – learning from the Foresight processes and their organization. Currently Foresight studies are mainly used for detecting future social challenges, potential technological developments, and associated gaps and requirements for immediate, mid-term and long-term measures. Foresight studies also have the potential, we argue, to be used for the assessment of potential policy measure impacts and the identification of the next generation of innovation policy related measures. This new application of Foresight approaches is likely to arise in the near future.

Language: English
Full text
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Keywords: foresightscience, technology and innovation policy
Publication based on the results of:
Development of novel approaches to the analysis and modelling behavior of innovation actors (2013)

In book

Science, Technology and Innovation Policy for the Future — Potentials and Limits of Foresight Studies
Science, Technology and Innovation Policy for the Future — Potentials and Limits of Foresight Studies
Dordrecht, L., Heidelberg, NY: Springer, 2013.
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