Surveillance and analysis reduce the risk of new entry of pests, diseases and weeds and better target the risks that matter most.
- Importation of small seed lots
- Analysis on compliance
- Pathway for risk-return opportunities
- Evidence of a plant pest's absence
- Biosecurity system effectiveness
- Increasing confidence in pre-border risk management
- Australian Zones and Compartments: new client service models for the agricultural export trade
- Developing models for the spread and management of National Priority Plant Pests
- Developing scientifically robust risk maps for priority plant pests
- Assessing ant pathways to better inform site selection for ant surveillance
- Optimising New Zealand’s marine biosecurity surveillance programme
- Proportional value of interventions across pathways and layers of the biosecurity system
- CBIS/CSP sensitivity analysis
- Models for border inspection for pelleted seeds: How much assurance?
- Estimating worldwide BMSB risk of establishment
Building Scientific Capability
Building Scientific Capability themed research endeavours to ensure that science remains effective and cutting edge in an increasingly complex biosecurity environment by building capacity and developing professional networks and collaborations.
Data and Information
Data and Information research involves optimal use of data and information to facilitate better biosecurity risk management.
- Plant health surveillance
- Vector spread animal disease
- Importer compliance
- Australia’s FMD modelling
- Response to a marine pest incursion
- Decision support framework
- Optimisation of national resources for animal disease surveillance
- Automated image analysis for identifying biofouling risk on vessels
- Updating the Vessel Check biofouling risk assessment framework
- Re-evaluating management of established pests including the European wasp, Vespula germanica using biocontrol agents
- Ensuring a whole-of-department approach to the prioritisation of biosecurity risk and the setting of regulatory intervention levels
- Advanced profiling for air travellers and mail
Data Mining research aims to develop, test, and implement systems and protocols that provide effective and efficient inspection of large volumes of biosecurity data.
Spatial Analysis research contributes to surveillance by using spatial models that anticipate the source of biosecurity risks, identify high risk pathways, predict the spread of current incursions and the locations of future biosecurity incursions.
Intelligence research develops and tests tools to assist biosecurity managers to foresee new threats.
Benefit Cost research is about determining the optimal–cost efficient approach for maximising the detection of different biosecurity incursions and managing current and future threats.