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DTSTART:19700308T020000
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DTSTAMP:20260522T150124Z
LOCATION:Exhibit Hall B
DTSTART;TZID=America/Chicago:20181115T092000
DTEND;TZID=America/Chicago:20181115T100500
UID:submissions.supercomputing.org_SC18_sess229_inv101@linklings.com
SUMMARY:The Human Side of Data Science
DESCRIPTION:Cecilia Aragon (University of Washington)\n\nExtraordinary adv
 ances in our ability to acquire and generate data are transforming the fun
 damental nature of discovery across domains. Much of the research in the f
 ield of data science has focused on automated methods of analyzing data su
 ch as machine learning and new database techniques. However, the human asp
 ects of data science, including how to maximize scientific creativity and 
 human insight, how to address ethical concerns, and the consideration of s
 ocietal impacts, are vital to the future of data science. Human-centered d
 ata science is a necessary part of the success of 21st century discovery. 
 I will discuss promising research in this area, describe ongoing initiativ
 es at the University of Washington in Seattle, and speculate upon future d
 irections for data science.\n\nRegistration Category: Tech Program Reg Pas
 s, Exhibits Reg Pass\n\nSession Chair: Jack Dongarra (University of Tennes
 see, Knoxville; Oak Ridge National Laboratory (ORNL))\n\n
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