If participating in multiple activities gives the community-builder a strong cross-pollination effect, I could assume λ=1.1
Do you have a sense of what decision-guiding proxies community builders might want to keep in mind to improve the chances that λ>1? My intuition is that the default expectation should be λ<1, especially for small or relatively young groups, due to CBs trying out a number of different activities and consequently being stretched too thin, reducing per-hour effectiveness vs mostly focusing on and getting better over time at one CB activity, and I don’t have a clear sense of what to do to get to λ>1 with reasonable confidence.
Hi Mo, thanks for the comment. I have the sense that participating in multiple activities (i.e. λ>1) enables community-builders to connect between different individuals, organizations, and resources as they act as central nodes connecting individuals to resources. I agree that smaller/younger groups would likely have a lower λ per your intuition above. The model above does not capture this intuition, but the power of the individual community builder’s network is also quite important for determining the extent of impact. I have the sense that community builders with a larger network should spread their focus more widely to maximize the chances for cross-pollination, while community-builders in more localized contexts may find it more optimal to focus on one particular activity to avoid getting distracted. Whether trying to increase λ (at the expense of perhaps spending less time on bridging out into other activities) is therefore dependent on the community-builder’s existing network and capacity; full-time and well-connected community-builders should probably care about increasing λ more than part-time or localized community-builders, who probably benefit from focussing very particularly on one particular programme or intervention that helps build the EA community.
Do you have a sense of what decision-guiding proxies community builders might want to keep in mind to improve the chances that λ>1? My intuition is that the default expectation should be λ<1, especially for small or relatively young groups, due to CBs trying out a number of different activities and consequently being stretched too thin, reducing per-hour effectiveness vs mostly focusing on and getting better over time at one CB activity, and I don’t have a clear sense of what to do to get to λ>1 with reasonable confidence.
Hi Mo, thanks for the comment. I have the sense that participating in multiple activities (i.e. λ>1) enables community-builders to connect between different individuals, organizations, and resources as they act as central nodes connecting individuals to resources. I agree that smaller/younger groups would likely have a lower λ per your intuition above. The model above does not capture this intuition, but the power of the individual community builder’s network is also quite important for determining the extent of impact. I have the sense that community builders with a larger network should spread their focus more widely to maximize the chances for cross-pollination, while community-builders in more localized contexts may find it more optimal to focus on one particular activity to avoid getting distracted. Whether trying to increase λ (at the expense of perhaps spending less time on bridging out into other activities) is therefore dependent on the community-builder’s existing network and capacity; full-time and well-connected community-builders should probably care about increasing λ more than part-time or localized community-builders, who probably benefit from focussing very particularly on one particular programme or intervention that helps build the EA community.