Registration and Abstract

Important Date

• Deadline for early bird registration: February 6(Fri), 2026

• Deadline for special session application: February 6(Fri), 2026

• Deadline for abstract submission: February 27(Fri), 2026

• Deadline for advertisement application: February 27(Fri), 2026

All participants wishing to participate in the 3rd International Symposium on GeoAI Data are required to complete online registration and pay the registration fee. Online registration isavailable only via email through the secretariat (gaidas@gaidas.org).

Invoice and Receipt

Invoice and receipt will be sent to participant by email after registration is completed.

Certificate

Certificate of attendance will be issued by email starting one week after the conclusion of the 3rd International Symposium on GeoAI Data.

Registration Inquiries

For all inquiries on the registration for the 3rd International Symposium on GeoAI Data, please contact the secretariat at gaidas@gaidas.org.

Registration Fee

Offer

March 23-24: Lunch, dinner, coffee, and refreshments will be provided.

March 25: Field trip (No evening service on March 25)

Important Date

• Deadline for early bird registration: February 6(Fri), 2026

• Deadline for special session application: February 6(Fri), 2026

• Deadline for abstract submission: February 27(Fri), 2026

• Deadline for advertisement application: February 27(Fri), 2026

Call for Abstract

We invite you to submit abstracts for presentation at the 3rd International Symposium on GeoAI Data. Accepted abstracts will be presented in Special Sessions (oral session only).

Submission Guidelines

Abstracts must be written in English and contain a minimum of 500 words. Authors are required to complete the abstract using the official abstract template. Completed abstracts should be submitted by email to the symposium secretariat at 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