How might consumer and industrial behaviour be modelled rather than assumed?
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Description
The Bovaer Strategy post assumes that farmers will administer Bovaer if they're compensated $5000/yr to do it. What data would support a number, or some curve of how many farmers would adopt it at various price points? A similar phenomenon seems to come up with regards to the adoption of EVs at different rates in response to various subsidy amounts. Probably the same is true for heat pumps, possibly the same is true for many other behaviour change / technology adoption scenarios. How should these be handled?
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Research direction
Start with the Bovaer Strategy post and identify where farmer adoption is assumed from the $5000/year compensation. Research data that could support adoption curves for Bovaer, EVs, and heat pumps, then propose a consistent way to represent those assumptions. Done means the project has an agreed modelling approach and evidence requirements for these behaviour-change scenarios.
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Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100