Automated Generation of Software Tools to Support Data Ingestion for Environmental Modelling and Monitoring

Environmental modelling and monitoring software systems, which are very important in assessing the effects of climate change, require open data from a large number of sources including all levels of government, NGOs such as watershed management authorities, consultants and business. This data needs to be brought together into internal databases and to be kept up-to-date to perform the required underlying computations. Collecting this data manually and keeping it current requires an incredible amount of error-prone manual labour. The goal of this project is to create a software system that will automatically collect and maintain the data and aggregate the data into the internal databases thereby removing the need for human intervention.

Intern: 
Sergey Savinov
Faculty Supervisor: 
Donald Cowan
Province: 
Ontario
Partner University: 
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