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Commonalities for Future Animal Health Science
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Research
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Risk Analysis
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Diagnostics
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Surveillance
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Emergency Preparedness and Response
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Science Outcomes
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Integration of systems
- Monitoring : individual animal / human
- Population level
- Use in feedback, decision making (RT)
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Societal understanding of the entire system and how science will meet societal objectives
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Public confidence, influence by science
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Traceability. ID – animals, food, toxic, genes, etc
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Efficiency of water energy use, lower environmental impact
- “Closed” – loop systems for safety, efficiency
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Animal welfare
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Organization
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Multi-disciplinary, multi-jurisdictional across innovation systems
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New organizations required
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Info sharing & common approaches to risk analysis
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Common awareness
across organization
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Systems
management approach to science
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Increased integration, especially with local small producers
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With increased production, industry will take on a greater role in auditing, QA, standards to ensure public confidence and Animal Health – Public Health integration
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Increased integration, especially with local small producers
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Government will have greater involvement in environment / wildlife management
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Biosecurity risks are prevented, responded to, and contained at the individual / system level
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Decentralized knowledge and capacity established at the local / community level capacity
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People
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- Understanding among Partners and Stakeholders of:
- The entire system
- Their roles in relation to the system, as well as the protocol and roles of each member, strengthening overall commitment
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Employ balanced, “skilled” and “generalists who are metascientists
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Employ social scientists who understand understanding trends, impacts, psycho-social considerations
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Develop and use networks
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Interdisciplinary skills
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Reward collaboration
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Risk pathway, knowledge
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Flexible access to expertise
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Specialists in modelling
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Wildlife specialists.
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Ethics professionals
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Expertise able to work at the farm level
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Appropriate training and education at all levels, especially hazard identification
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Creations of emergency management teams that are able to respond and manage crises
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Technology
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Decision support
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Modelling
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Team / system support
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Data management & IT systems to support knowledge transfer
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Real-time, rapid tests conducted on-farm
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Trusted early warning systems that are local, real time, diverse and low cost and focussed on animal welfare, environmental impact and disease
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Miniaturization
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Use of sensors
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Processes
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Integrated systems to manage increased complexity
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Integrated risk assessment processes and systems
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Integrative processes for decision-making;
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Development of standards
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Quality assurance processes and real-time laboratory sample tracking
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National and international surveillance processes
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Global “Inter-operability” enhances communication (small producers, industry, government, etc)
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Global action (response, prevention, etc.)
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