The evolution of GeoAI is shifting from static models to autonomous systems capable of complex reasoning and code execution. This seminar presents two foundational components of this transition. First, I introduce the Dual Helix Governance Framework, an agentic approach where Large Language Models (LLMs) are utilized for iterative code generation and validation within geospatial workflows. Second, I discuss the role of Discrete Global Grid Systems (DGGS) in providing a standardized, high-performance substrate for planetary-scale analysis. The talk concludes by synthesizing these themes, outlining how agentic frameworks can autonomously orchestrate DGGS-native algorithms to solve spatial problems with unprecedented scale and reproducibility.
Levente Juhász is an Assistant Professor of Geospatial Analytics at the University of Florida (UF) and the Director of the Geospatial Analytics, Technology and Open Research (GATOR) Lab. Based at UF’s Fort Lauderdale Research & Education Center, his research focuses on the convergence of GIScience, spatial data science, and modern computing.
Dr. Juhász is the recipient of the 2026 IJGI Young Investigator Award, recognized for his contributions to the field of geoinformatics. His work explores the spatial reasoning capabilities of Large Language Models (LLMs), the quality and integrity of crowdsourced data (OpenStreetMap), and the implementation of high-performance Discrete Global Grid Systems (DGGS). Prior to his current role, he served as a Research Associate Professor at Florida International University. He earned his PhD in Geomatics from the University of Florida in 2018.