SpaceAI
SpaceAI is an annual, multidisciplinary, collaborative program that helps participants solve targeted questions in space science,
astronomy, and space technology with artificial intelligence (AI).
In the framework of SpaceAI, various research and development (R&D) projects will be accomplished
along with support from experts and mentors as advising on strategies to successfully develop relevant AI models.
The program will also provide a concentrated co-working environment, computing resources,
and opportunities for disseminating project outcomes.
SpaceAI runs in parallel with a scientist track and a citizen scientist track.
Through this program, it is expected that our understanding of the universe can be enhanced,
and program outcomes will be widely used in various user communities.
Vision
From now on
With state-of-art, easy-to-use, open-source AI methods/tools/models, an exciting new era has dawned as things that were only possible in imagination become reality. Our goal is to apply AI techniques to various science questions and technical issues in space science, astronomy, and space technology.
SpaceAI
SpaceAI will provide an environment where relevant experts can collaborate to achieve successful results in conducting R&D projects. The results will be published in peer-reviewed journals and presented at conferences. The developed AI models/codes, datasets (used for developing models: training & test, and produced by models), and APIs will be widely used in domestic and international R&D communities, national agencies, industries as well as in education.
How
Talent Providers
AI experts collaborate with researchers, pooling their expertise to address proposed research topics. This synergistic approach fosters advancements in research and development. An expert community, including external and partner experts, special guests, and professional institutions, participates in the review process.
Data Providers
The Korea Astronomy and Space Science Institute (KASI) operates the Korea SDO Data Center, providing space environment data from various global space agencies. This includes data collected from ground observations and space missions. Additionally, KASI is developing a comprehensive space environment research big data network.
Resource Providers
IT companies offer high-performance computing resources to expedite the generation of meaningful outcomes.
SpaceAI Program Committee
Chair
Seonghwan Choi (KASI)
KASI
Roksoon Kim , Jeong-Heon Kim, Sung-Hong Park, Eunsu Park, Jongyeob Park, Ji-Hye Baek, Kyohoon Ahn, Hwanhee Lee
Kyung Hee University
Yong-Jae Moon, Harim Lee
KAIST SW Education Center
Chanwoo Kim
AI Factory
Taeyoung Kim
* KASI: Korea Astronomy and Space Science Institute