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As we focus on “Navigating the Geospatial Frontier: Future Directions for Academia and Its Partners” for UCGIS 2025, it is essential to discuss building robust infrastructures to support future GIS applications. The rapidly advancing fields of geospatial big data science and GeoAI require scalable, cost-efficient, and high-performance infrastructure. This panel will explore the design and implementation of infrastructures that integrate critical components such as data acquisition, storage, processing, analysis, visualization, and security. Featuring use cases from academia and industry partners, the discussion aims to empower researchers to execute Geospatial AI and Data Science projects across diverse applications by strengthening Geographic Information Systems (GIS) infrastructure and services for next-generation GIS applications. The panel will also address strategies for managing diverse datasets—including social media, climate data, and WebAI—while encouraging the use of open-source geospatial datasets for broader academic impact. Emphasis will be placed on high-performance infrastructures that support both vector and raster big data, leveraging scalable storage systems, distributed computing frameworks, and cloud-based solutions. This session intends to highlight community initiatives, fostering a collaborative exchange of ideas and experiences. Through case studies and demos, we aim to provide actionable insights and strategies for designing, implementing, and managing cutting-edge infrastructures tailored to the evolving demands of future geospatial analytics. Panelists:
