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            "note": "<p>\"Our research was definitely more qualitative than quantitative, but there were a few sources of data that might be helpful… I suspect you have our future of failure report, which was the predecessor to pivotal moment – if not, that has a few things that should be helpful. Our biggest quantitative source was SESTAT, from the national science foundation. They have a lot of data on what scientists of all kinds do career-wise:<a href=\"https://www.nsf.gov/statistics/sestat/\" target=\"_blank\" rel=\"noopener noreferrer\">https://www.nsf.gov/statistics/sestat/</a>. What we found (and called out) was there isn’t a great way to figure out PIT types from the data they collect and define, but there’s definitely stuff that nibbles around the edges.</p>\n<p>We also used BLS data on computer/math jobs I think (same problem, again) and this study: Lockard, C. Brett and Michael Wolf. “Occupational employment projections to 2020.” Monthly Labor Review Online. 135:1 (2012). Booz Allen and PPS had a study that is now pretty out of date but may be interesting too – that’s in figure 7. And just in general, the bibliography there has some random sources that might be of interest.</p>\n<p>Hope this helps!!</p>\n<p>Best,</p>\n<p>Alex\"</p>",
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