CGA Hosted Spatiotemporal Data Science Workshop and Symposium

The CGA hosted a five-day Summer Workshop on Spatiotemporal Innovation on July 10-15, followed by a two-day Symposium on Spatiotemporal Data Science on July 15-16. The events were part of the Spatial Data Lab project sponsored by NSF IUCRC and industry partners. Eleven participants completed the training workshop. About seventy participants attended the symposium from 15 countries across the world. The symposium program included three keynotes, 13 sessions and panels, and 60 presentations, 32 were given onsite while 28 were delivered online. Presenters included researchers at all levels of career development, from high school, undergraduate and graduate students, to postdocs, junior and senior faculty members. The symposium was featured by discussions on replicable spatiotemporal data science, including big data analysis, open-source tool development, geoAI and machine learning, workflow building, cloud computing, and many application fields, such as public health, environmental science, urban studies, climate change, social equality, and more. Both the workshop and symposium have facilitated communications and collaborations in spatiotemporal data science, including research, teaching and business applications.