Data in the Time of COVID
From Jaclyn Dankel
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From Jaclyn Dankel
Since COVID-19 hit, researchers have been trying to uncover the nature and impact of the virus – why it affects some more than others, are we doing enough testing, what will happen next? Understanding the rapid, global spread of COVID-19 has researchers turning to advanced computational and data analytics tools.
Join our expert panelists from Rowan University’s Department of Computer Science and Department of Molecular & Cellular Biosciences as they explore how scientists and developers are using data science, bioinformatics, machine learning, and more to better understand COVID-19 and its impact on individuals and society.
Discussion topics include:
Emerging roles of bioinformatics in uncovering the critical features of COVID-19 relative to demographics, symptom severity, and genetic predispositions.
Has the Summit Supercomputer cracked the COVID code? How using supercomputers for genetic data mining provides insight on the virus and potential therapies.
COVID-19 “mythbusting” with data analytics: Does more testing lead to more cases? Are we in a first or second wave? Are we turning the corner?
Can artificial intelligence, Bluetooth, and database technologies improve the accuracy of contact tracing and help us respond better? Learn how the NFL and others are using these technologies.