Sunday, July 14, 8:00 a.m. to 1:45 p.m. MDT
Location: Fir
This add-on training session is organized to coincide with the annual Natural Hazards Workshop. This training is offered as part of a National Science Foundation-funded International CyberTraining for Disaster Management Network. This project is designed to support those students and professionals who wish to broaden their computational knowledge and data skills. Participants in this training session will gain cyberinfrastructure and geospatial analytic capabilities for observing and monitoring disaster events.
The training is limited to 35 participants; if you are planning to attend, please email the lead organizer Zhe Zhang at zhezhang@tamu.edu. Because this is an add-on session, registration for the Natural Hazards Workshop is not required if you are only attending this session. There is no additional cost associated with this add-on training.
Training Modules
The expert-led training modules will focus on:
- Fundamental concepts and skills of Cyberinfrastructure (CI) and High-Performance Computing systems (e.g., National Science Foundation ACCESS) to enhance CI use in disaster management research
- Scientific programming in Python using Jupyter Lab
- Disaster data types and processing techniques
- Essential concepts of Geospatial Artificial Intelligence (GeoAI) and how to apply spatial analysis and GeoAI to disaster management
Basic understanding of software programming is preferred but not required.
Agenda
Please check back for the final training session agenda. Coffee and lunch will be provided.
Questions?
If you have questions about this add-on training session, please contact Zhe Zhang directly at zhezhang@tamu.edu.
Funding Acknowledgement
This project and the training session are funded by the National Science Foundation Office of Advanced Cyberinfrastructure with joint support from the Directorate for Social, Behavioral, and Economic Sciences (NSF Award #2321069).