The International Conference on Climate Change and the Role of Nuclear Power was held on October 7-12, 2019 in Vienna (Austria) at International Atomic Energy Agency (IAEA) with support of Nuclear Energy Agency (NEA) of Organization for Economic Co-operation and Development (OECD).
The event became the first conference on climate change organized under the auspices of the IAEA. About 550 representatives of 79 countries and 18 international organizations took part in it. The keynote address from the Russian Federation at the opening of the conference was made by Vladimir Artisiuk, Advisor to the Director-General of ROSATOM. The key issue for discussion was the potential of nuclear energy in addressing climate change. Representatives of the Rosatom Tech – Ivan Andryushin (Project Manager, Project Office “Project Office for Nuclear Infrastructure Development”) and Evgeny Varseev (Specialist of the International Training Centre for Nuclear Infrastructure) – attended the conference as winners of the IAEA data visualization challenge.
The aim of the challenge was to «submit a creative and analytical visualization of the role of nuclear power in combatting climate change».
The project submitted for the challenge by the Rosatom Tech team is an animated visualization of analysis of large data sets on CO2 emissions depending on various indicators (GDP, electricity consumption, nuclear energy share in energy mix) for each country. The visualization was created using Python programming language – a modern tool applied internationally and standard software for big data analysis.
Along with two other winners of the challenge, the participants presented their work as part of Side Event of the conference devoted to visualization and data analysis. During the panel discussion with the IAEA Unit Head for Energy, Environment, and Economic Analysis, Aliki van Heek panelists emphasized the importance and enormous potential inherent in the analysis and visualization of big data.
The projects presented by the winners not only allow simple and concise communication of information to a wide audience but to offer tools for analyzing and predicting economic and environmental scenarios of economic development in the future taking into account the share of nuclear power generation. The gradual introduction of modern scientific trends – big data and data science – into nuclear industry opens up enormous opportunities for the improvement of public relations and the formation of positive public opinion as well as provides a possibility for industry leaders for making decisions based on insights and predictions form big data processing and analysis.