C3.ai, Microsoft, the University of Illinois at Urbana-Champaign; the University of California, Berkeley; Princeton University; the University of Chicago; the Massachusetts Institute of Technology; and Carnegie Mellon University form the new C3.ai Digital Transformation Institute
First call for proposals published - AI Techniques to Mitigate Pandemic
Institute to accelerate AI innovation among scientific communities to bring greater advocacy, invention, collaboration, and academic rigor to scaling digital transformation
Redwood City, CA; Redmond, WA; Urbana-Champaign, IL; Berkeley, CA; Princeton, NJ; Chicago, IL, Cambridge, MA; and Pittsburgh, PA. -(BUSINESS WIRE)- March 26, 2020 - C3.ai, Microsoft Corp., the University of Illinois at Urbana-Champaign (UIUC), the University of California, Berkeley, Princeton University, the University of Chicago, the Massachusetts Institute of Technology, Carnegie Mellon University, Lawrence Berkeley National Laboratory, and the National Center for Supercomputing Applications at UIUC announced two major initiatives:
C3.ai Digital Transformation Institute (C3.ai DTI), a research consortium
C3.ai DTI First Call for Research Proposals: C3.ai DTI invites scholars, developers, and researchers, to embrace the challenge of abating COVID-19 and advance the knowledge, science, and technologies for mitigating future pandemics using AI. This is the first in what will be a series of bi-annual calls for Digital Transformation research proposals.
"The C3.ai Digital Transformation Institute is a consortium of leading scientists, researchers, innovators, and executives from academia and industry, joining forces to accelerate the social and economic benefits of digital transformation," said Thomas M. Siebel, CEO of C3.ai. "We have the opportunity through public-private partnership to change the course of a global pandemic," Siebel continued. "I cannot imagine a more important use of AI."
Immediate Call for Proposals: AI Techniques to Mitigate Pandemic
Topics for Research Awards may include but are not limited to the following:
- Applying machine learning and other AI methods to mitigate the spread of the COVID-19 pandemic
- Genome-specific COVID-19 medical protocols, including precision medicine of host responses
- Biomedical informatics methods for drug design and repurposing
- Design and sharing of clinical trials for collecting data on medications, therapies, and interventions
- Modeling, simulation, and prediction for understanding COVID-19 propagation and efficacy of interventions
- Logistics and optimization analysis for design of public health strategies and interventions
- Rigorous approaches to designing sampling and testing strategies
- Data analytics for COVID-19 research harnessing private and sensitive data
- Improving societal resilience in response to the spread of the COVID-19 pandemic
- Broader efforts in biomedicine, infectious disease modeling, response logistics and optimization, public health efforts, tools, and methodologies around the containment of rising infectious diseases and response to pandemics, so as to be better prepared for future infectious diseases
