About the Foresight Centre

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The International Research and Educational Foresight Centre is a structural unit of the HSE University Institute for Statistical Studies and Economics of Knowledge (ISSEK). The centre’s core activities focus on the development, application, and promotion of foresight methodology in Russia. A report by the United Nations Conference on Trade and Development (UNCTAD) recognises the ISSEK Foresight Centre as a leader in the fields of technology foresight and technology assessment methods, highlighting its unique expertise and competencies in this area.

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Publications

  • Digital Economy: 2026 : Pocket Data Book

    This pocket data book contains the main indicators reflecting the relevance of digital technologies for enterprises and individuals, the activity of ICT sector enterprises, the infrastructure and personnel of the digital economy.

    The data book includes information of the Russian Federal State Statistics Service (Rosstat), Ministry of Digital Development, Communications and Mass Media of the Russian Federation, European Statistical Office (Eurostat), Organisation for Economic Co-operation and Development (OECD), International Telecommunication Union (ITU), UNESCO, UN Department of Economic and Social Affairs, and results of methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge.

    In some cases, the presented data specify those published earlier.

    M.: HSE ISSEK, 2026.

  • Assessing the Influence of Innovation and Digitalization on Carbon Footprint Across the Middle East, North Africa, and South Caucasus Regions

    The convergence of energy transition and digitalization represents two pivotal trends in the global economy that complement each other. The decrease in carbon dioxide (CO2) emissions is facilitated by larger Internet access and more substantial investments in research and development. This study sheds light on the dual impact of digitalization and innovation on CO2 emissions in the eight Middle East and North Africa (MENA) and two South Caucasus countries in 2000–2020. The article reveals the nuanced role of economic growth in shaping greenhouse gas emission patterns and underscores the important role of digitalization in mitigating CO2 emissions. With the use of FMOLS and quantile panel regression methods, the study proved a positive relationship between digitalization and GDP growth, with digital solutions driving economic expansion. Economic growth shows a clear positive correlation with CO2 levels, supporting the Environmental Kuznets Curve (EKC) hypothesis of an inverted U-shape relationship between economic development and CO2 emissions in developing and emerging economies. Digitalization and innovations, on the contrary, contribute to CO2 emissions mitigation. These results underscore the importance of policy support for research and development and digital transformation to promote sustainable, low-carbon growth.

    Natural Resources Forum. 2026. P. 1-18.

  • Challenges and Risks to the Inclusion of AI for Environmental Applications

    Artificial intelligence is increasingly becoming a valuable tool in environmental science, providing significant benefits in the processing of high-volume datasets, improving predictive models, and better enabling the efficient monitoring of ecosystems. Its ability to identify patterns, automate tedious tasks, and facilitate data-driven decision-making makes it of extreme value in tackling climate change, biodiversity loss, and resource management. Nevertheless, although it promises much, the use of AI also poses a host of problems and threats.

    This chapter discusses in detail the challenges and risks associated with the use of AI, with a special focus on the ethical implications of its use in environmental contexts. Authors emphasize that ethics should not be seen as a secondary consideration, but rather as a fundamental precondition for sustainable innovation. Within this context, the idea of responsible AI is introduced as a guiding concept that includes the principles of fairness, accountability, inclusivity, and environmental integrity. In addition, the chapter points to explainable AI (XAI) as a feasible and essential strategy for enhancing transparency, interpretability, and trust in AI. By making the functioning of AI systems clearer and accountable, XAI can contribute to risk containment and ensure that AI is done for ecological and social benefit.

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

  • The Impact Of The Covid-19 Pandemic On Digital Technology Diffusion

    The present paper looks at the COVID-19 external shock impacts on the diffusion of digital technologies for business continuity including videoconferencing, digital logistic services, telehealth services, e-commerce, online entertainment services and cybersecurity. The study reveals that COVID-driven digital trends differ in terms of character of technological diffusion and its dynamics. Some technological areas; i.e. e-commerce and online entertainment diffused only at the late stages of the pandemic while such specialized solution as telehealth have been more impacted by the short-run external shock. Telehealth-related technologies remain less adopted in practice despite significant growth in academic and professional media discussion.

    Science, Technology and Innovation. WP BRP. Высшая школа экономики, 2021. No. 123.

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