Abstract
The world economy relies on access to industrial metals, oil and gas for maintaining its critical industrial infrastructure. Although demand is likely to remain high, the most accessible deposits have been depleted. Future capacity growth will be facilitated through further technological developments. Russia as a leading producer is paying great attention to strengthening its competitive edge in global markets. This paper reports on a large-scale technology foresight study of the Russian extractive sector (including oil and gas), which combined expert-based foresight activities with statistical analyses and text-mining techniques based on artificial intelligence and machine learning technologies. The presented methodology helped to link the technologies to dominant discussions (e.g. climate change vs rural development) and to flag key trends. Furthermore, quantitative estimates can be identified quickly. The study’s methodology should function as an example for similar studies to support policy planning and investment decisions based on text-mining techniques.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
