This project supports comprehensive investigation of arsenic contamination in the aquatic ecosystems in Canada. The project aims to provide a framework/guideline to predict probability arsenic contamination in different area. This will be through appling AI and ML modelling approaches by considering geo-environment and hydrochemical predictor variables. The MITACS support will be used to hire a research assistant to support the activities envisaged in the project. The researcher will be supporting computational modelling at Memorial University (MUN).