| Issue |
BCAS
Volume 38, 2024
|
|
|---|---|---|
| Article Number | 2024013 | |
| Number of page(s) | 16 | |
| DOI | https://doi.org/10.1051/bcas/2024013 | |
| Published online | 01 November 2024 | |
Article
CBAS: An International Platform of Digital Technologies Facilitating Sustainable Development Goals
a
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
b
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
c
University of Chinese Academy of Sciences, Beijing 100049, China
* To whom correspondence may be addressed. Email: hdguo@radi.ac.cn
The Chinese Academy of Sciences (CAS) launched the Big Earth Data Science Engineering Program (CASEarth) in 2018, which laid the foundation for the International Research Center of Big Data for Sustainable Development Goals (CBAS). Building on CASEarth’s achievements, CBAS integrates advanced digital technologies to advance the UN Sustainable Development Goals (SDGs) through five key missions: (1) developing SDG data infrastructure and information products via its SDG Big Data Platform, utilizing advanced computing, cloud services, and AI; (2) developing and launching a series of SDG satellites, including SDGSAT-1, which provides crucial Earth observation data through its Open Science Program; (3) providing new knowledge for SDG monitoring and evaluation through annual reports (Big Earth Data in Support of the Sustainable Development Goals, published since 2019) and guiding the development of big data-driven technical solutions and theoretical systems; (4) establishing a think tank for science, technology, and innovation, promoting SDGs through initiatives like the annual International Forum on Big Data for Sustainable Development Goals (FBAS) and the CBAS Fellowship Program; and (5) providing capacity development for SDGs in developing countries through international collaborations, such as the Digital Belt and Road Program (DBAR), which offers professional education and training in big data. Future CBAS efforts will focus on expanding data access, enhancing AI capabilities for SDG indicator monitoring, and strengthening international partnerships to address data gaps and ensure equitable access to technology and expertise for achieving global sustainability.
Key words: Digital technology / Big Earth Data / CASEarth / CBAS / SDGs / DBAR / SDGSAT-1 / FBAS
Cite this article as: GUO Huadong and LIANG Dong. (2024) CBAS: An International Platform of Digital Technologies Facilitating Sustainable Development Goals. Bulletin of the Chinese Academy of Sciences, 38: 2024013. DOI: https://doi.org/10.1051/bcas/2024013
GUO Huadong is Director General of the International Research Center of Big Data for Sustainable Development Goals (CBAS), and a professor of the Aerospace Information Research Institute under the Chinese Academy of Sciences (CAS). He is a Member of CAS, a Foreign Member of the Russian Academy of Sciences, a Foreign Member of the Finnish Society of Sciences and Letters, a Fellow of the World Academy of Sciences (TWAS), and a Fellow of the International Science Council (ISC). He presently serves as Honorary President of the International Society for Digital Earth (ISDE), Director of the International Center on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Member of the ISC Global Commission on Science Missions for Sustainability, Chair of the Digital Belt and Road Program (DBAR), and Editor-in-Chief of two scientific journals, the International Journal of Digital Earth and Big Earth Data. He served as Member of the UN 10-Member Group to support the Technology Facilitation Mechanism for SDGs (2018–2021), Chairman of the International Committee of Remote Sensing of Environment (2017–2020), President of ISDE (2015–2019) and the ICSU Committee on Data for Science and Technology (2010–2014). Prof. Guo specializes in remote sensing, radar for Earth observation, and Digital Earth science. He has published more than 500 papers and 24 books, and is the awardee of 20 international and domestic prizes.
© 2024 by the Chinese Academy of Sciences and published by the journal Bulletin of the Chinese Academy of Sciences.
This paper is licensed and distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives license 4.0 as given at https://creativecommons.org/licenses/by-nc-nd/4.0/.
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