This session will explore new ways and opportunities for big data to support the Arctic sustainable development and further promote international science cooperation, build multi-disciplinary research road map based on big data, and supporting for the global implementation of sustainable development goals.
Science, technology and innovation are important tools to support the realization of Sustainable Development Goals (SDGs). The cutting-edge digital technology, e.g., big data, can facilitate multi-dimensional, -disciplinary and -scale monitoring and evaluation of sustainable development indicators, and help us to fully understand the current challenges and find appropriate solutions for sustainable development.
In the context of global warming, the warming rate of the Arctic is three times more than that of the global average, which profoundly affects global climate change and the process of sustainable development goals. The sustainable development of the Arctic has always been one of the core issues of Arctic governance and is closely related to the 2030 Sustainable Development Goals of the United Nations. In order to strengthen data-, science- and nature-based approaches in the Arctic region, promote international cooperation by the cross-integration of multi-disciplinary knowledge for the Arctic sustainable development. For this reason, the International Research Center of Big Data for Sustainable Development Goals (CBAS), the University of Chinese Academy of Sciences (UCAS) and Group on Earth Observations Cold Regions Initiative (GEO CRI) jointly call for this session-"Big Data in Support of Arctic Sustainable Development Goals and Pan-Arctic International Cooperation".
This session invites experts in the fields of Arctic data, environment, energy, sustainable development, humanities and social sciences and international cooperation. The session will discuss how big data can play a positive and multi-disciplinary role in the sustainable development. The session will be presented through invited keynote presentations, opinion presentations and panel discussions, to discuss the demand for big data and its international cooperations for the Arctic environment, energy, humanities and social sciences.
The session will explore new ways and opportunities for big data to support the Arctic sustainable development and further promote international science cooperation, build multi-disciplinary research road map based on big data, and supporting for the global implementation of sustainable development goals.