All workshops will be held on Friday, Sep. 11. General participant registration will open on July 15th. Some workshops have different deadlines for submission of abstracts and travel grant requests. See links for additional details.
Continental breakfast with coffee and tea will be available before the workshop, and free lunch boxes will be made available at noon for all workshop participants.
Mapping Tomorrow: GeoAI, Multiscale Cartography, and Sustainability
Organizer: ICA Commissions on GeoAI, Multiscale Cartography, and Cartography and Sustainability
Description: This workshop will bring together participants from diverse backgrounds, including data science, cartography, planning, and resource management, who use or develop GeoAI and multiscale cartography methods for real-world challenges. The goal is to showcase emerging techniques for evaluating, automating, and visualizing geospatial data, advancing our understanding of complex systems, and informing decisions that promote resilient, economically efficient, and sustainable development. You are invited to submit a 2-page extended abstract or a 10-page extended abstract. Proceedings of the workshop will be published openly on the Commission on Multiscale Cartography website, with a CC-BY license.
Click here for additional details
Introduction to Spatial Data and Using R as a GIS
Organizer: Nick Bearman, Independent Scholar, Honorary Research Fellow, Geography, UCL, London, UK
Description: In this 3 hour course we will introduce the idea of using scripts to make maps, rather than using a graphic interface. There are many advantages to working with a script, including being able to share your work with others, be confident that it can be reproduced easily and being able to create multiple maps quickly and easily. If you are used to working with QGIS or ArcGIS then scripting is a different way of thinking – give it a try on this course and see how you get on with it!
Click here for additional details
CROPSIGHT: Human-in-the-loop GeoAI for scalable, uncertainty-aware crop type ground truth collection using street view and satellite imagery
Organizers: Zhijie Zhou, Tianci Guo, Yin Liu, Fangyi Wang, Yuankun Wang, and Chunyuan Diao
Description: In this workshop, we introduce CropSight, a scalable GeoAI framework that integrates street view imagery with satellite data to generate object-based crop type ground truth information. Participants will work in the Google Colab environment to interact with the CropSight pipeline using example datasets and step-by-step Jupyter notebooks. Participants of all skill levels in Python are welcome. By the end of the workshop, participants will:
- Explore best practices for integrating automated observations into cartographic and geospatial analysis workflows
- Understand the opportunities and limitations of using street view imagery for agricultural ground truth data collection
- Learn how visual-language foundation models can support but not replace human expertise in crop type ground truthing workflows.
- Gain practical experience implementing and evaluating a street-view-based GeoAI pipeline
Cartographic and GIS Education in the AI Era
Organizers: ICA Commission on Education and Training, Working Group on the Cartographic Body of Knowledge
Description: This workshop invites cartography and GIS experts and educators to share their insights and best practices in education, covering topics including but not limited to:
- Perspective and reflections on future education in cartography and GIS, from both educator and learner viewpoints
- Curriculum design and programs development in cartographic education
- Developing on-line educational resources for teaching cartography
- Best practices and experiences in teaching map making, map use and analysis using AI technologies
- Integrating cartography in geography education and geo-related disciplines using AI tools
- Open source tools and datasets for cartographic education
Click here for additional details
CyberTraining Workshop: Broadening Adoption of Cyberinfrastructure and Geospatial Artificial Intelligence for Disaster Management
Organizers: Zhe Zhang, Shaowen Wang, Honggao Liu and Zhenhua He
Description: The goal of this workshop is to establish a Cyberinfrastructure (CI)-powered GeoAI research network for disaster and coastal sustainability management. This training will provide foundational computational literacy, enabling the analysis of large scale disaster and oceanography datasets of the production of scientific outcomes. The following topics are covered in the workshop:
• Fundamentals of CI and High-Performance Computing (e.g., registering and accessing NSF ACCESS and NAIRR resources)
• Scientific programming in Python using JupyterLab
• Disaster and coastal science data processing and visualization techniques
• Core concepts in geospatial analysis and applications in disaster and coastal sustainability management
Travel grants of $500 for workshop participants are available to selected applicants.
