At this meeting, the Panel received the report of the National Academy of Sciences (NAS) that recommended that Social Security work with the Department of Labor on adapting O*NET for Social Security's occupational information purposes instead of Social Security creating its own occupational information system from scratch. I would speculate that this transcript was sent to me to demonstrate that OIDAP considered the NAS report and found good reason to reject it.
I have uploaded the transcript via Yousendit. The first 100 people who wish to do so can download the transcript.
I have not been able to study the transcript in depth but it is clear that the Panel's chair, Mary Barros-Bailey, was unreceptive to the NAS report. I expect she believes that she and others asked questions that demolished the NAS report. I would not agree. Judge for yourself. Take a look especially at pages 68-73 and 99-106.
I was not there but I do notice from the transcript that Barros-Bailey and others seemed quite eager to interrupt Nancy Shor's questions. Nancy Shor is the Executive Director of the National Organization of Social Security Claimants Representatives (NOSSCR). She may have had a different perspective from Barros-Bailey. I did not notice any other panel member being interrupted in the same fashion as Ms. Shor. I do know that transcripts do not always reflect the tenor of what has happened at a hearing or meeting. Perhaps, Ms. Shor had as much opportunity to ask questions and have them answered as she wished but it does not quite seem that way in the transcript.
Below is one small excerpt from the transcript. This is only one small detail but it is interesting. Margaret Hilton of the National Academy of Sciences is speaking:
We do know that the data collection costs [for O*NET] right now are about $6 million a year, and that updates 100 occupations a year. So that gives you some idea. ...
... [W]henever O*NET adds more occupations, whenever it becomes less aggregated, more disaggregated, as it has done, that is always going to increase your data collection costs, because you have more occupations to go after ...