C3.ai DTI, jointly managed by the University of Illinois at Urbana-Champaign and the University of California, Berkeley, and in partnership with Microsoft Corp., invited researchers in March to take on the challenge of abating COVID-19 and advancing AI-based science and technologies for mitigating future pandemics.
After a rigorous peer review process, C3.ai DTI selected 26 research proposals that address COVID-19 across the disciplines of medicine, urban planning, public policy, and computer science, several of which focus on the study of the disease's impact on racial, economic, and health care disparities. A total of $5,4 million in cash will be awarded to the following research projects. In addition, research teams will gain access to the C3 AI Suite, Microsoft Azure computing and storage, as well as data resources such as the C3.ai COVID-19 Data Lake in support of their research.
The C3.ai DTI Awards include the following:
1. AI for Epidemiology, Social Good, and Clinical Use:
2. Mathematical Modeling, Control, and Logistics:
3. Vaccine and Drug Discovery:
4. Computational Biology:
5. Imaging/Computer Vision:
6. Intelligent Databases and Search:
7. Distributed Computing:
"My colleagues and I are grateful for the funding and access to computing resources provided by C3.ai DTI that will allow us to study the impact of social determinants of health on COVID-19 transmission and mortality and to build up future capacity to evaluate and intervene to reduce health inequities", stated Dr. Anna Hotton, epidemiologist and Research Assistant Professor, Department of Medicine at the University of Chicago.
"The enormous potential of AI algorithms to help us derive actionable information and make well-informed decisions is truly exciting", stated Dr. Saurabh Amin, Robert N. Noyce Associate Professor, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology. "We have a unique opportunity to design scalable decision-making algorithms to learn how to reopen transportation systems in a safe way and to bridge the gap between desirable policy interventions and realistic operational strategies."
"The enthusiastic response among scientists and researchers coupled with the diverse, high-quality and compelling proposals we've received suggests that we have the potential to alter the course of this global pandemic", stated Thomas M. Siebel, CEO of C3.ai. "In the face of this crisis, the Institute is proud to bring together the best and brightest minds and provide direction and leadership to support objective analysis and AI-based, data-driven science to mitigate COVID-19."
"It is encouraging to see the large number of high-quality proposals, spanning promising areas of research, on directions of effort needed now more than ever", stated Eric Horvitz, Chief Scientific Officer at Microsoft. "I'm looking forward to following the research as it progresses and hopeful that the funded teams will make significant contributions in the fight against COVID-19."
C3.ai DTI selects research proposals that inspire cooperative research and advance machine learning as well as other AI subdisciplines.
Projects are peer reviewed on the basis of scientific merit, prior accomplishments of the principal investigator and co-principal investigators, the use of AI, machine learning, data analytics, and Cloud computing in the research project, and the suitability for testing the methods at scale.
In March of this year, C3.ai, Microsoft, University of Illinois at Urbana-Champaign, University of California, Berkeley, Carnegie Mellon University, Lawrence Berkeley National Laboratory, Massachusetts Institute of Technology, National Center for Supercomputing Applications at University of Illinois at Urbana-Champaign, Princeton University, and the University of Chicago established C3.ai DTI, a research consortium dedicated to accelerating the socioeconomic benefits of artificial intelligence for business, government, and society. Stanford University is the consortiums newest member.