Universities and research institutions around the world are devoting their scientific knowledge and computing resources to confront the global pandemic. Researchers are joining together to slow the spread of COVID-19 and quickly discover effective treatments and prevention methods. On this page, we're tracking those efforts.
The C3.ai Digital Institute is combining the efforts of researchers from top universities and companies to use machine learning to discover new ways to slow the spread of the coronavirus. A first call for proposals for AI Techniques to Mitigate Pandemic will issue awards of $100,000 - $500,000 each, up to $5.8 million. Recipients receive access to the C3 AI Suite, Microsoft Azure cloud platform and the Blue Waters supercomputer at the National Center for Supercomputing Applications in Illinois. Deadline May 1, 2020.
Pittsburgh Supercomputing Center (PSC) now provides researchers access to China's National Genomics Data Center COVID-19 Database. Ready access to this important dataset will enable researchers to better understand the COVID-19 virus. The data will be hosted on PSC's Bridges platform, optimized for the necessary big data analysis.
This dashboard shows projected hospital resource use (at the national and state-by-state levels) based on COVID-19 deaths, assuming social distancing continues through the end of May 2020. From the Institute for Health Metrics and Evaluation (IHME).
The University of Arizona Health Scienes Biorepository is improving the ability to test widely for COVID-19 by producing specimen collection kits. Lack of collection kits, specifically swabs and the medium in which samples aree collected are contributing to the bottleneck in widespread testing. Working from a formula provided by the CDC, researchers at UA’s BIO5 Institute manufactured enough media for 1600 specimen kits in just one weekend. UA expects to produce up to 7000 kits by the end of the week.
The COVID-19 High Performance Computing Consortium brings together US federal government, industry, and academic leaders to volunteer free compute time on world-class supercomputers to advance scientific knowledge about the coronavirus. The consortium currently provides 16 supercomputing systems, representing over 330 petaflops, 775,000 CPU cores, and 34,000 GPUs. Researchers may submit proposals via this online portal.
PRACE, the Partnership for Advanced Computing in Europe, is fast-tracking approval of proposals for projects requesting computing resources to contribute to mitigating the impact of COVID-19. Academic and industry researchers in Europe are eligible to apply for resources at seven supercomputing centres throughout Europe, including on #6-ranked Piz Daint supercomputer at the Swiss National Supercomputing Centre in Switzerland.
This dashboard shows state-by-state measures taken to slow the progress of COVID-19 within the US. Created by Indiana University Crisis Technologies Innovation Lab at the request of several local and national agencies
TACC supercomputers Stampede2 and Comet complete simulations pertinent to coronavirus and DNA replication.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus, which is responsible for the COVID-19 disease outbreak.