Important Date
• Deadline for early bird registration: February 7, 2025
• Deadline for special session application: February 7, 2025
• Deadline for abstract submission: February 28, 2025
• Deadline for advertisement application: February 28, 2025
All participants wishing to participate in the 2nd International Symposium on GeoAI Data must complete online registration and payment of the registration fee. Online registration is only possible by the e-mail of the secretariat (gaidas@gaidas.org).
Invoice and Receipt
Invoice and receipt will be sent to the participant by the e-mail.
Certificate
Certificate of attendance will be emailed from one week after the 2nd International Symposium on GeoAI Data.
Contact for Registration Inquiries
For all inquiries on the registration for the 2nd International Symposium on GeoAI Data, please contact the secretariat (gaidas@gaidas.org).
Registration Fee
KRW USD
Regular/Member 500,000 400
Regular/Non-member 600,000 500
Student/Member 300,000 200
Student/Non-Member 400,000 300
Offer
March 26-27: Lunch, dinner, coffee, and refreshments will be provided.
March 28: Field trip (No evening service on March 28).
Important Date
• Deadline for early bird registration: February 7, 2025
• Deadline for special session application: February 7, 2025
• Deadline for abstract submission: February 28, 2025
• Deadline for advertisement application: February 28, 2025
Call for Abstract
We invite you to submit an abstract. Accepted abstracts will be presented at the 2nd International Symposium on GeoAI Data as special sessions (only oral session).
Submission Guidelines
Authors are required to submit an English abstract of minimum of 500 words. Please fill out the abstract on the abstract template and send it to the e-mail of the secretariat (gaidas@gaidas.org).
Scope
• GeoAI Data: Create and Share
Annotation Techniques and Tools
Data Format
Imbalanced Data
Data Validation Techniques
Data Partitioning Techniques
Others
• GeoAI Model: Develop and Analyze
Data Classification
Detecting Data
Split Data
Data Fusion
Analyze Data
Others
• GeoAI Data: Utilizing
Geological Science
Marine Sciences
Polar Science
Environmental Science
Astronomy and Aerospace Science
Hydrology and Water Resources
Ecological Science
Forestry
Agriculture
Meteorological Science
Nature Disaster Analysis
Geoinformatic Science
Defense Development
Others