Analytics Program
The Analytics Program focuses on secure data integration across value chains to mitigate AMR risks to business and consumers, as well as providing industry-specific AMR intelligence.
About
AMR data-driven insights and reporting are needed to protect Australia’s reputation as a premium, safe food producer, and to secure international market access and growth of food exports.
The Analytics Program will integrate digital production data and market data to allow better decision-making in food production, processing, regulation and value chains.
SAAFE is working with its partners to understand their respective data landscapes, how they manage data day-to-day, and their specific needs. We are devising standards for data governance and management (such as the SAAFE Data Code), as well as developing and testing integrated IT systems. These resources will be used to track, manage and mitigate AMR while supporting interoperability with relevant national initiatives and data management systems.
The research projects in the Analytics Program are designed to address industry priorities in digital transformation and to meet the AMR intelligence requirements of Australia’s National Antimicrobial Resistance Strategy.
Program objectives
- Creating integrated datasets of industry-specific AMR intelligence
- Using AI algorithms to optimise AMR-mitigating decisions, such as prescribing behaviour and antimicrobial stewardship in animal husbandry
- Establishing industry-specific best-practice guidelines for self-regulation in antimicrobial stewardship
- Monitoring market, consumer and regulatory trends in antimicrobial use, resistance and residues.
Program lead
Professor Ricardo J. Soares Magalhães is a veterinarian with research experience spanning human and animal public health. He specialises in the geospatial epidemiological modelling of zoonotic diseases, the design of surveillance systems, and the evaluation of biosecurity interventions to reduce zoonotic hazards (including AMR). In SAAFE, Ricardo is facilitating industry-led research into the development of cloud-native data capture infrastructure and data analysis methods to optimise antimicrobial surveillance, antimicrobial use and biosecurity decision-making. He is Professor of Zoonotic Disease Epidemiology and Biosecurity and Director of the Queensland Alliance for One Health Sciences, both at the University of Queensland.
Current projects
Advancing agribusiness digital transformation to prevent pathogen resistance and improve food security
Proponent: Australian Research Data Commons (ARDC)
Lead research provider: University of Queensland
Timeframe: 2 years (Foundational Project)
Applying risk assessment through Bayesian network models to facilitate AMR management in wastewater services, receiving waters, water reuse and uses of biosolids/composts
Proponent: Water Research Australia (WaterRA)
Lead research provider: University of South Australia
Timeframe: 4 years (Foundational Project)