As the volume of geospatial data explodes—from satellite imagery and sensor networks to crowdsourced social media feeds—new analytical approaches are transforming our ability to understand and respond to real-world challenges. Dive into the cutting edge of Geographic Information Science (GIScience), where geospatial big data and AI fuel discovery, innovation, and problem-solving across a range of fields.
What You’ll Explore
This seminar explores the latest innovations in GIScience, with a focus on the integration of geospatial big data, spatial computing, and geospatial artificial intelligence to address complex geospatial and computational problems. Key topics include geospatial big data and its applications; concepts of spatial computing; GeoAI and machine learning for spatial data; social sensing and volunteered geographic information; geospatial web services and interoperability, and National Spatial Data Infrastructure.
Why Enroll?
- Engage with cutting-edge research and emerging technologies.
- Build analytical and critical thinking skills in data-driven GIScience.
- Expand your professional toolkit with knowledge in big data management, spatial AI, and geospatial web services.
- Contribute to dynamic class discussions grounded in contemporary literature, case studies, and real-world scenarios.
Who Should Join?
This seminar is ideal for graduate students who have at least basic GIS training. Whether you’re aiming for a career in academia, industry, government, or non-profit, this course will help position you at the forefront of geospatial innovation.
