The Polar Data Science (PolDS) Workshop is an annual ACM SIGSPATIAL International Workshop that brings together researchers, scientists, and practitioners from the polar science and spatial computing communities to explore innovative approaches to understanding the Arctic and Antarctic regions. The workshop fosters interdisciplinary collaboration at the intersection of polar science, geospatial computing, artificial intelligence, and data science, with the goal of advancing research on critical polar-region challenges and their global impacts.
Through keynote presentations, invited talks, research paper presentations, and collaborative discussions, PolDS provides a platform for sharing emerging research, exchanging ideas, and identifying opportunities for cross-disciplinary partnerships. Topics span geospatial AI and machine learning, spatial and spatio-temporal data analysis, ice sheet dynamics, sea-level rise, polar data infrastructure, and open and reproducible science. By connecting diverse expertise and perspectives, PolDS aims to strengthen the growing polar informatics community and accelerate data-driven scientific discoveries.
Select a year below to learn more about PolDS Workshops.