Spatial Data Sciences SEMINAR …Think Spatually About Your Data Science Problems

Have you ever wondered why a phenomenon occurs in a specific location? What tools do we have to model and predict phenomena with a significant spatial component? Spatial Data Science offers insights into these questions. Spatial Data Science is an interdisciplinary field that integrates traditional data science methods—such as Machine Learning and Artificial Intelligence—with spatial analysis methodologies, including Geographic Information Systems, Geostatistics, and Remote Sensing. This combination enables us to understand, characterize, and manage big spatial data.

ISLANDS - Atlantic Regional Project

The three countries in the ISLANDS Atlantic project, Cabo Verde, Guinea-Bissau, Sao Tome and Principe, are import heavy economies that lack the legislation, infrastructure and training to safely and sustainably manage the hazardous wastes that many imported products generate as they degrade. Illegal dumping, poorly enforced regulations and limited public awareness compound the problems associated with toxic waste.