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Laboratory for Science and Technology Studies

The Laboratory for Science and Technology Studies was established in 2010 and is a research unit within HSE University's Institute for Statistical Studies and Economics of Knowledge (ISSEK).

It brings together leading staff researchers with broad-ranging research skill sets and professional competencies. The Laboratory's objective is to conduct empirically based research in science, technology and innovation policy.

Illustration for news: HSE Professor Discusses the ‘Quantum Leap’ at UNESCO Seminar

HSE Professor Discusses the ‘Quantum Leap’ at UNESCO Seminar

In mid-September 2026, UNESCO held an online seminar entitled ‘Quantum Science and the Future of Quantum Technologies.’ During a panel discussion, Alexander Sokolov, Director of the International Research and Educational Foresight Centre at the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) and Chair of the UNESCO Chair on Future Studies at HSE University, presented the results of ISSEK’s Quantum Leap foresight study to international experts.

Illustration for news: HSE University Expands Cooperation with Malaysia in Technology Foresight

HSE University Expands Cooperation with Malaysia in Technology Foresight

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

Illustration for news: Technology Foresight Methods for Identifying Future Competencies Were Discussed in Malaysia

Technology Foresight Methods for Identifying Future Competencies Were Discussed in Malaysia

Alexander Sokolov, Director of the International Research and Educational Foresight Centre at the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) and Head of UNESCO Chair on Future Studies, presented HSE’s extensive experience and cutting-edge methodological solutions in Foresight-studies on emerging technologies and workforce competencies at the Malaysia National Engineering Convention 2026.

Illustration for news: Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026

Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026

Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.

Illustration for news: Top 20 Frontiers of Global Science: 2025

Top 20 Frontiers of Global Science: 2025

Using big data mining system iFORA, the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) has identified the key global scientific topics for 2025, along with associated promising technologies and products.

Illustration for news: HSE Initiates Development of Ethical Standard for Anthropomorphic Robots

HSE Initiates Development of Ethical Standard for Anthropomorphic Robots

Beyond technological solutions, the development of anthropomorphic robotics also demands ethical ones. In July 2026, the HSE Institute for Robotics Systems hosted a foresight session dedicated to developing an Ethical Standard for Anthropomorphic Robotic Complexes. Representatives from businesses, government bodies, scientific organisations, and universities gathered to discuss key ethical and legal issues surrounding the development of anthropomorphic robotic complexes. The main outcome of the meeting was a draft of the Ethical Standard.

Illustration for news: HSE University to Launch New AI Supercomputer

HSE University to Launch New AI Supercomputer

HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.

Illustration for news: ‘To Keep Pace with Technology, Foresight Itself Must Become Faster’

‘To Keep Pace with Technology, Foresight Itself Must Become Faster’

The Innovation and Technology Management Conference (InnoTech 2026), organised by Elsevier publishing house in partnership with Tsinghua University, has taken place in Beijing. The event focused on the challenges of managing technological development in the age of artificial intelligence. Olesia Maibakh and Danil Yatskin, researchers from the International Research and Educational Foresight Centre at the HSEInstitute for Statistical Studies and Economics of Knowledge (ISSEK), presented the findings of the large-scale foresight study ‘IT in Russia: Development Scenarios’ conducted with the support of Yandex.

Illustration for news: AI Changes Everything: Fractures of Global Transformations

AI Changes Everything: Fractures of Global Transformations

Artificial intelligence (AI) significant impacts on the economy and society, touching on a wide range of areas, from strategic management and decision-making to everyday communication. Experts from the HSE Institute for Statistical Studies and Economics of Knowledge (ISSEK) used the iFORA system to map key fractures —areas where changes have already become irreversible and will only intensify.

Illustration for news: New Neural Network for Science and Innovation Being Developed at HSE University

New Neural Network for Science and Innovation Being Developed at HSE University

HSE researchers are training large language models (LLMs) to understand Russian-language scientific terminology while improving their energy efficiency. The adapted model runs 2.7 times faster and requires 73% less memory than the original open model, allowing it to operate on more affordable hardware. The programme has passed state registration.