Thanks!
I think the algorithm may be explained something like
1] take the most up-to-date reasoning and conclusions from central places … like prioritization outputs of CEA, FHI, CSER, GiveWell, OpenPhil, etc.
2] try to think what are the local differences, and which of them would most influence the outcomes.
3] think in terms of comparative advantages and disadvantages (e.g., if you are in Geneva, you have access to all that world organizations and people working in them … so you have advantage in policy)
4] think in terms of the movement optimizing as a unified organization, like “if there was an EA Inc. what units it would create here” (sometimes its possible to learn from actual multinationals)
Possible caveat… doing this may be much less work than creating the original models, but may need good understanding of the models, and good grasp of concepts like parameter sensitivity.
We’re starting a prioritization projects attempting to quantitatively model this (factor in local considerations). It will also probably try to model the important question “stay or move”
Thanks! I think the algorithm may be explained something like
1] take the most up-to-date reasoning and conclusions from central places … like prioritization outputs of CEA, FHI, CSER, GiveWell, OpenPhil, etc.
2] try to think what are the local differences, and which of them would most influence the outcomes.
3] think in terms of comparative advantages and disadvantages (e.g., if you are in Geneva, you have access to all that world organizations and people working in them … so you have advantage in policy)
4] think in terms of the movement optimizing as a unified organization, like “if there was an EA Inc. what units it would create here” (sometimes its possible to learn from actual multinationals)
Possible caveat… doing this may be much less work than creating the original models, but may need good understanding of the models, and good grasp of concepts like parameter sensitivity.
We’re starting a prioritization projects attempting to quantitatively model this (factor in local considerations). It will also probably try to model the important question “stay or move”