June 25, 2020

June 2020 Newsletter

by Tamara Straus in Newsletter



26 AI Proposals to Mitigate the Pandemic

Never before has the world so urgently needed data-rich, digitally-driven, and cross-disciplinary science. At the C3.ai Digital Transformation Institute, we have spent the last three months evaluating proposals that harness “Digital Transformation Science” to address the COVID-19 pandemic. After an intense peer review process, we have decided to support 26 projects led by some of the country’s top scholar-innovators. These projects tackle COVID-19 as a disease of manifold consequences with manifold solutions. Many also aim to mitigate the pandemic’s racial, economic, and healthcare disparities. A total of $5.4 million is being awarded along with access to the C3 AI Suite™, Microsoft Azure computing and storage, and robust data resources such as the C3.ai™ COVID-19 Data Lake. Please read about the funded projects, and do not hesitate to be in touch with your ideas. 

S. Shankar Sastry
C3.ai DTI Co-Director
UC Berkeley

R. Srikant
C3.ai DTI Co-Director
University of Illinois at Urbana-Champaign

Roundtable Featuring COVID-19 Principal Investigators

On June 18, C3.ai DTI held a virtual roundtable for media with 10 principal investigators leading COVID-19 mitigation research. This video of the roundtable features research led by Anna Hotton (University of Chicago), Sanmi Koyejo (University of Illinois Urbana-Champaign), Karen Chapple (UC Berkeley), Saurabh Amin (MIT), Asu Ozdaglar (MIT), Rayid Ghani (Carnegie Mellon), Gerbrand Ceder (UC Berkeley), Vincent Poor (Princeton University), Maryellen Giger (University of Chicago), and Nancy Amato (University of Illinois Urbana-Champaign).

Consortium Expansion

Stanford University Joins C3.ai DTI

Stanford University has become the consortium’s seventh university member with Chris Manning, Thomas M. Siebel Professor of Machine Learning and Associate Director of the Stanford Institute for Human-Centered AI, joining the C3.ai DTI Executive Committee.  

“Collaboration across universities and disciplines is key to unlocking the societal benefits of artificial intelligence and machine learning,” said Professor Manning. “And this consortium, with its foundational support for Digital Transformation Science to mitigate COVID-19 and future societal challenges, has significant potential to advance solutions.” Read more. 


C3.ai’s Digital Transformation Institute Issues Awards for Data-Driven COVID-19 ResearchZDNet
New Research Institute Puts $5 Million Toward AI to Battle COVID-19 Spread and Its Social Impact, Pittsburgh Post Gazette 
C3.ai DTI Awards $5.4 Million for AI Research to Mitigate COVID-19, NCSA | National Center for Supercomputing Applications
Two CMU AI Projects Addressing COVID-19 Win Funding, Carnegie Mellon University
Princeton Faculty Members Receive Grants for COVID-19 Research from C3.ai Digital Transformation Institute, Princeton University 
Argonne National Lab Enables Critical Work to Combat COVID-19 Epidemic, HPCWire
CMU Helps Launch AI Institute Working on COVID-19 Mitigation Efforts, Pittsburgh Business Times
A.I. Versus the Coronavirus, New York Times
Siebel on Anonymizing Data, Wall Street Journal

About the C3.ai Digital Transformation Institute

Established in March 2020 by C3.ai, Microsoft, and leading universities, the C3.ai Digital Transformation Institute is a research consortium dedicated to accelerating the socioeconomic benefits of artificial intelligence. The Institute engages the world’s leading scientists to conduct research and train practitioners in the new Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, economics, organizational behavior, public policy, and ethics. The nine C3.ai Digital Transformation Institute consortium member universities and laboratories are: University of Illinois at Urbana-Champaign (UIUC), University of California, Berkeley, Princeton University, University of Chicago, Massachusetts Institute of Technology, Carnegie Mellon University, Stanford University, Lawrence Berkeley National Laboratory, and National Center for Supercomputing Applications at UIUC.