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Rapid Response Data Science for COVID-19

Bandlow, Alisa B.; Bauer, Travis L.; Crossno, Patricia J.; Garcia, Rudy J.; Astuto Gribble, Lisa A.; Hernandez, Patricia M.; Martin, Shawn; McClain, Jonathan T.; Patrizi, Laura P.

This report describes the results of a seven day effort to assist subject matter experts address a problem related to COVID-19. In the course of this effort, we analyzed the 29K documents provided as part of the White House's call to action. This involved applying a variety of natural language processing techniques and compression-based analytics in combination with visualization techniques and assessment with subject matter experts to pursue answers to a specific question. In this paper, we will describe the algorithms, the software, the study performed, and availability of the software developed during the effort.

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Posters for AA/CE Reception

Kuether, Robert J.; Allensworth, Brooke M.; Backer, Adam B.; Chen, Elton Y.; Dingreville, Remi P.; Forrest, Eric C.; Knepper, Robert; Tappan, Alexander S.; Marquez, Michael P.; Vasiliauskas, Jonathan G.; Rupper, Stephen G.; Grant, Michael J.; Atencio, Lauren C.; Hipple, Tyler J.; Maes, Danae M.; Timlin, Jerilyn A.; Ma, Tian J.; Garcia, Rudy J.; Danford, Forest L.; Patrizi, Laura P.; Galasso, Jennifer G.; Draelos, Timothy J.; Gunda, Thushara G.; Venezuela, Otoniel V.; Brooks, Wesley A.; Anthony, Stephen M.; Carson, Bryan C.; Reeves, Michael J.; Roach, Matthew R.; Maines, Erin M.; Lavin, Judith M.; Whetten, Shaun R.; Swiler, Laura P.

Abstract not provided.

2 Results
2 Results