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X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20220812T074335Z
LOCATION:Nairobi Room
DTSTART;TZID=Europe/Stockholm:20220629T143000
DTEND;TZID=Europe/Stockholm:20220629T150000
UID:submissions.pasc-conference.org_PASC22_sess166_msa277@linklings.com
SUMMARY:Where Is Everybody?
DESCRIPTION:Minisymposium\n\nWhere Is Everybody?\n\nRouson\n\nIn April, th
 e United States presidential administration announced a whole-of-governmen
 t effort focused largely on gathering and increasing access to disaggregat
 ed data on the experiences of historically underserved groups [1]. The imp
 ortance of disaggregating the data on specific subpopulations can easily b
 e overlooked in efforts that target diversity broadly. Drawing inspiration
  from astrophysics, this talk will focus on data and analyses related to t
 he hiring of a specific population that is underrepresented in scientific 
 research: African-American doctoral degree holders. Using the Drake equati
 on to frame the discussion, the talk will address the extent to which the 
 search for African-American terrestrial intelligence (SATI) can be underst
 ood through the analytical lens of the search for extra-terrestrial intell
 igence (SETI). With this framing, we will tackle an oft-cited cause for un
 derrepresentation, the pipeline, in light of statistical arguments suggest
 ing the implausibility that pipeline problems fully explain the observed u
 nderrepresentation in some elite settings. The talk will briefly touch som
 e unexpected benefits of involving a more diverse population in science, a
 rguing that diverse groups both do scientific research differently and do 
 different scientific research. The talk will conclude with a call for acco
 untability through disaggregating data in diversity, equity, and inclusion
  (DEI) initiatives.<br /><br />[1]: https://www.whitehouse.gov/briefing-ro
 om/statements-releases/2022/04/22/fact-sheet-biden-harris-administration-r
 eleases-recommendations-for-advancing-use-of-equitable-data/\n\nDomain: Co
 mputer Science and Applied Mathematics, Humanities and Social Sciences
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