Our digital membership data goes back at least 10 years.
Demographic information is self-reported and not broadly consistent with federal standards of classification.
Our membership data will have the unclear bias of “people who choose to be AAS members.”
It is not obvious how this would bias the information.
Possible examples:
Are we undersampling small institutions?
Are some other institutions over or under-represented based on local department culture?
Are astronomers from certain types of institutions more likely to be AAS members?
In addition, the overlaps between our membership and the proposing-and-funded or proposing-and-not-funded cohorts are unclear.
We think we could provide a secondary estimate of the field demographics to compare to the agencies' datasets, but as a primary source, our data would introduce unclear biases.
Draft v2 of our proposed AAS member survey on grant proposal success rates available here
Links to Existing talks, trending graphs, relevant information