COVID-19 Modelling Resources, Data and Challenges (updated: 01 June 2020)

COVID-19 Image

Rensselaer data analytics students, researchers and colleagues are analyzing the data emerging from the 2019-2020 COVID-19 outbreak/pandemic. In early March 2020 The Rensselaer IDEA started gathering a set of resources on exploring and modelling current global data. This list will be updated periodically as new resources become available. Many thanks to our friends and colleagues near and for for contributing to this list!

SEE ALSO: The White House Office of Science and Technology Policy has formed The COVID-19 High Performance Computing (HPC) Consortium, a unique private-public effort involving IBM, RPI and others from federal government, industry, and academia to volunteer free compute time and resources on their world class machines. See https://bit.ly/2y51Hac (info) and https://bit.ly/2UBa5G9 (CfP form)

VISUALIZATIONS BACKGROUND TUTORIALS SIMULATIONS DATASETS LINKED DATA PROXIMITY
TRACING
CHALLENGES &
COLLABORATIONS

 

This list is brought to you by The Rensselaer IDEA and RPIrates: The RPI R Users' Group 

Please email John Erickson erickj4@rpi.edu with suggestions or additions!