A well-designed Decision Support System should include all of the information necessary in order to make accurate decisions.
A specific class of computerized information system that supports organizational decision-making activities.
An interactive software-based system intended to help decision-makers compile useful information from raw data, documents, expertise knowledge, and/or scientific models to identify and solve problems and make decisions
How will it be used in this project?
Develop a model-based decision-support tool that incorporates the socio-economic data on human-mediated spread of invasive pests and epidemiological and genomic data to help reduce the uncertainty with regard to invasion outcomes and related economic consequences.
Our DSS will help inform FIAS management decisions of end users such as CFIA, NRCan, FPInnovations, provincial departments of natural resources, and international authorities.
A robust DSS requires accurate estimates of risk, impact, and the financial costs of an invasion.
The DSS will integrate findings from the genomic activities, CFIA’s pest risk assessment data, as well as related social, economic and ecological information to select the appropriate risk management approaches.
The DSS will be developed using a modular approach which ensures a flexible, adaptable framework into which data components can be added as they are developed.
The DSS will be able to calculate the potential habitat of target pests using the machine-learning algorithm of the MaxEnt model and will incorporate alternative models.