KAGES (Korea-America Association for Geospatial and Environmental Sciences) and Korean-American Scientists and Engineers Association (KSEA) will host a professional development workshop “GeoAI workshop: Application of LLM in geospatial analytics“. 

📍Panelists:
Chanwoo Jin (Northwest Missouri State University)
Junghwan Kim (Virginia Tech University)

📍Moderator:
Taehee Hwang (Indiana University Bloomington)

📅Date:
May 18 (Monday), 8 pm (Eastern Time Zone – US)
May 19 (Tuesday), 9 am (Korean Time Zone)

🔗Please Register on this Google form (https://forms.gle/TRRNEnssbPs5FhJq5) by May 15, 2026. Zoom link will be sent only to registrants

————————-

Title: GeoAI workshop: Application of LLM in geospatial analytics     

As artificial intelligence continues to reshape data-driven geographic research, the role of Geographic Information Systems (GIS) as a methodological framework warrants renewed attention, prompting a reconsideration of GIS not merely as a tool for mapping and spatial analysis but as a foundational framework integrating various data sources and supporting spatial reasoning. This workshop introduces recent advances in large language models (LLMs) and their applications in geospatial analytics. It includes hands-on exercises that allow participants to engage with workflows for analyzing large-scale text data using LLMs, automatically extracting spatial information, and identifying patterns. It also covers the application of multimodal LLMs for analyzing large-scale image data (e.g., street-view images, aerial images), focusing on automated feature extraction and spatial interpretation. Combining conceptual discussion with practical examples, it provides participants with insights into enhancing scalability, efficiency, and interpretability in geospatial workflows using LLMs. It concludes with an interactive brainstorming session focused on identifying emerging research opportunities and fostering future collaborations at the intersection of GIS, AI, and spatial data science.