2.3 Tools for Knowledge Synthesis – Modelling Gabriele Bammer.
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Transcript of 2.3 Tools for Knowledge Synthesis – Modelling Gabriele Bammer.
2.3 Tools for Knowledge Synthesis – Modelling
Gabriele Bammer
Q3 How?
2
Synthesisingdisciplinary
and stakeholderknowledge
Understanding and managing
diverse unknowns
Providingintegrated
research supportfor policy
and practicechange
Dialogue-basedModel-, product-, vision-basedCommon metrics -based
ReductionBanishmentAcceptanceExploitationSurrenderDenial
CommunicationAdvocacyEngagementFresh thinkingImportance of critique ie not uncritical handmaidens
Product, model or vision-based
Focus on modelling
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The Relationship between Systems and Models
4
Jen Badham
Models are useful for all three domains of I2S
Synthesisingdisciplinary
and stakeholderknowledge
Understanding and managing
diverse unknowns
Providingintegrated
research supportfor policy
and practicechange
5
Models and Knowledge Synthesis
Design process integrates knowledge– Expert input about function – Stakeholder input about relationships– Design encapsulates shared understanding
Models and Unknowns
• Conceptual models: can be used to discuss what is or is not known
• Mathematical models: sensitivity– Run simulations with
different inputs– Identify which inputs
have large impact• Prioritise research to
improve estimates
– Identify regions with different results
Models and Policy/Practice Support
• Scenarios– Cheap– Quick to run (not necessarily quick to build)– Reversible
• Decision support– Presentation of multiple options– Explicit trade-offs
Compilation of modelling methods
Five groupings:
1.Static diagrams
2.Dynamic subsystems
3.Dynamic individualsTarget system
4. Scenarios – outcome
5. Statistical
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Static diagrams
•Concept mapping•Soft systems methodology•Lean systems•Social network analysis
strong dialogue components
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Static diagrams… Concept map
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Static diagrams… Soft systems rich picture
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Static diagrams… Lean system
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Static diagrams… Social network
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Dynamic subsystems
•Causal loop diagrams•System dynamics
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Dynamic subsystems… Causal loop diagrams
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Dynamic subsystems… System dynamics models
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Dynamic individuals
Five groupings:
1.Static diagrams
2.Dynamic subsystems
3. Dynamic individuals•State transition•Discrete event simulation•Agent based
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Main Points
No way to get complete view of problem
Different systems view highlight different elements and relationships
Models help get handles on systems views
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Also note
Few compilations
No agreed classification
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Compilation of modelling methods… 1
Five groupings:
1.Static diagrams
2.Dynamic subsystems
3.Dynamic individualsTarget system
4. Scenarios – outcome
5. Statistical
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Key issues about scenarios… 1
Can be dialogue-based or modelling-based
Can use various modelling methods
Connect research to policy and practice change:
– Cheap– Quick to run (not necessarily quick to build)– Reversible
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Key issues about scenarios… 2
Plausibility:
Models capture the relationships between different parts of the system, which guarantees that an assumed change to one element has a realistic impact on the rest of the system
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Exercise
Which kinds of models are being used in the group?
Could models be helpful for some cases?
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