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pathways to the future	

!
!
Claire Heffernan	

c.l.heffernan@reading.ac.uk	

STAR-IDAZ: Infectious Diseases of Animals/
Zoonosis: a global foresight exercise	

17 – 20 June, 2014	

Moscow, Russia
• a probable future: predictive scenarios	

• a possible future: explorative scenarios	

• a preferable future: normative scenarios
!
The distinguishing characteristic of backcasting
is…explicitly normative, involving working
backwards from a particular desirable future
end-point to the present…to determine the
physical feasibility of that future and what policy
measures [are] required. 	

(Robinson,1996)
!
backcasting
• the vision?	

• impediments vs. enablers?	

• pathways to meet the vision?
!
the oracle of delphi
‘new thought’
movement
• late 19th and early 20th century	

• positive thoughts of the future	

• thoughts and beliefs as cosmic entities	

!
global health alliances
• the research-base	

• beliefs about outcomes	

• collective action: funding and political will
Sustainable livestock production, with
healthy animals reared under high
welfare standards, disease outbreaks
minimised or rapidly contained,
ensuring a safe and secure food supply. 	

Madrid: the vision
sustainability
• a value rather than a
context	

• notions change over
time
!
barriers
Panzootics
Social Forces
Resource 	

Scarcity	

Animal Health
Cost of Control
Disease	

Reservoirs
Feed/Food 	

Conflict
Sector	

Sustainability
Lack of Indicators
Land Use	

Change
Surveillance
Pathogen 	

Evolution
Water 	

Availability
Cost of Energy
Farm Sizes
Feed Imports
Subsidies
War/Famine
Activists Lack of WTP
Vested 	

Interest
Lack of Public 	

Awareness
Pollution
EU Expansion
enablers
Policy
Networks/
Approaches
Investment Trade
PP partnerships
Control
Disease
CAP
Research Social
One Health
Systems
Harmonisation
Traceability
Technologies
Education
Science
research & capacity
building
Research to alleviate !
barriers
Research to optimise !
enablers
Collection, harmonisation, utilisation of existing data!
Greater investment in research networks!
Improving traceability/surveillance!
Increase knowledge of the environmental drivers that we can control
and manage.!
!
Greater investment in research
networks
Surveillance, early detection and early warning!
Better understanding of public perception, decision-making!
Increase knowledge of the environmental drivers!
Water quality
Optimising traceability &
surveillance networks
Vector control !
Monitoring of vector population!
Genetics of resistance of host/ resistance of local breeds!
Low cost diagnostics and diagnostic platforms, pen-side test !
Health implications of alternative feeds!
!
Optimal environmental conditions for control of pathogens such as
campylobacter.!
Coherent integrated farm energy supply/management, optimal
balance between energy use and energy production
the new vision
• animal disease minimised or rapidly
contained ensuring a safe and secure food
supply
!
the approach
1. What elements are different between our
vision and today?	

2. What are the steps needed to meet this
vision?	

3. What is the knowledge/research required to
meet this vision?
the present vs. 	

the future
changes required:	

• to the economic/social/environmental
context?	

• to the ‘knowledge’ environment?	

• to the policy environment?
the steps
• creating a time-line	

• identifying key events	

• barriers vs. enablers	

• quick scanning the research
required
!
the time-line
2014 2050?changing
consumer
demand
resource
scarcity
rise in global 	

temperature
increase 	

in EIDs
decline in 	

global 	

livestock 	

population
artificial 	

milk/meat
barriers and enablers
!
Within&our&
control&
Out&of&our&
control&
Barriers&
Enablers&
&
1 &
&&&&&&&&&&&&
2
&&
&&&&&&3&&&&&&&&&&&&&&&&&&4&
scanning:	

research & capacity
!
• livestock vs. non-livestock-related	

• blue-sky (basic) vs. applied	

• knowledge-sharing networks	

• specific to the time-line events/region
outcomes
1. define key factors that will support or
inhibit our vision of sustainable disease
control/livestock production.	

2. identify key areas of research/capacity/
building/knowledge transfer to support the
vision going into the future
!

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Backcasting the Future of Animal Health Research

  • 1. pathways to the future ! ! Claire Heffernan c.l.heffernan@reading.ac.uk STAR-IDAZ: Infectious Diseases of Animals/ Zoonosis: a global foresight exercise 17 – 20 June, 2014 Moscow, Russia
  • 2. • a probable future: predictive scenarios • a possible future: explorative scenarios • a preferable future: normative scenarios !
  • 3. The distinguishing characteristic of backcasting is…explicitly normative, involving working backwards from a particular desirable future end-point to the present…to determine the physical feasibility of that future and what policy measures [are] required. (Robinson,1996) !
  • 4. backcasting • the vision? • impediments vs. enablers? • pathways to meet the vision? !
  • 5. the oracle of delphi
  • 6. ‘new thought’ movement • late 19th and early 20th century • positive thoughts of the future • thoughts and beliefs as cosmic entities !
  • 8. • the research-base • beliefs about outcomes • collective action: funding and political will
  • 9. Sustainable livestock production, with healthy animals reared under high welfare standards, disease outbreaks minimised or rapidly contained, ensuring a safe and secure food supply. Madrid: the vision
  • 10. sustainability • a value rather than a context • notions change over time !
  • 11. barriers Panzootics Social Forces Resource Scarcity Animal Health Cost of Control Disease Reservoirs Feed/Food Conflict Sector Sustainability Lack of Indicators Land Use Change Surveillance Pathogen Evolution Water Availability Cost of Energy Farm Sizes Feed Imports Subsidies War/Famine Activists Lack of WTP Vested Interest Lack of Public Awareness Pollution EU Expansion
  • 12. enablers Policy Networks/ Approaches Investment Trade PP partnerships Control Disease CAP Research Social One Health Systems Harmonisation Traceability Technologies Education Science
  • 13. research & capacity building Research to alleviate ! barriers Research to optimise ! enablers Collection, harmonisation, utilisation of existing data! Greater investment in research networks! Improving traceability/surveillance! Increase knowledge of the environmental drivers that we can control and manage.! ! Greater investment in research networks Surveillance, early detection and early warning! Better understanding of public perception, decision-making! Increase knowledge of the environmental drivers! Water quality Optimising traceability & surveillance networks Vector control ! Monitoring of vector population! Genetics of resistance of host/ resistance of local breeds! Low cost diagnostics and diagnostic platforms, pen-side test ! Health implications of alternative feeds! ! Optimal environmental conditions for control of pathogens such as campylobacter.! Coherent integrated farm energy supply/management, optimal balance between energy use and energy production
  • 14. the new vision • animal disease minimised or rapidly contained ensuring a safe and secure food supply !
  • 15. the approach 1. What elements are different between our vision and today? 2. What are the steps needed to meet this vision? 3. What is the knowledge/research required to meet this vision?
  • 16. the present vs. the future changes required: • to the economic/social/environmental context? • to the ‘knowledge’ environment? • to the policy environment?
  • 17. the steps • creating a time-line • identifying key events • barriers vs. enablers • quick scanning the research required !
  • 18. the time-line 2014 2050?changing consumer demand resource scarcity rise in global temperature increase in EIDs decline in global livestock population artificial milk/meat
  • 20. scanning: research & capacity ! • livestock vs. non-livestock-related • blue-sky (basic) vs. applied • knowledge-sharing networks • specific to the time-line events/region
  • 21. outcomes 1. define key factors that will support or inhibit our vision of sustainable disease control/livestock production. 2. identify key areas of research/capacity/ building/knowledge transfer to support the vision going into the future !