Project Description

The objective of this project is to develop a scientific workflow system to support data analysis for environmental epidemiology researchers, including workflow exemplars and training approaches.

We will develop software that will enable researchers to access, integrate and transform datasets from population, health and environmental domains, using current and future health impacts of Extreme Weather Events (EWE) as a case study.

A state-of-the-art scientific workflow system will be deployed at the ANU and developed to enable users to build and extend analytical tools. Tools will include methods to chain together tasks that perform operations in the domains of data acquisition, data transformation, mathematical operations, graphing, statistical analysis, and output. It will include both an operational web-based research platform as well as enhance traditional desktop client-side workflows, so that it boosts capacity without compromising expertise and trusted workflows.  The software ecosystem is summarised in the image below, and fully described at this page Click Here

The first demonstration of the system will be the creation of an online validated Extreme Weather Events (EWE) database from historical data that can be queried repeatedly, easily and effectively.
This will be merged with Health, Population and Climate Change scenario data to project future health impacts; and the impact assessment will be able to be easily updated with future additional health, population and weather data; or new Climate Change model versions.