The New Science of Digital Transformation
The C3.ai Digital Transformation Institute is a research consortium dedicated to accelerating the benefits of artificial intelligence for business, government, and society. The Institute engages the world’s leading scientists to conduct research and train practitioners in the Science of Digital Transformation, which operates at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics.
C3.ai DTI was established in March 2020 by C3.ai, Microsoft Corporation, University of Illinois at Urbana-Champaign, University of California, Berkeley, Princeton University, University of Chicago, Massachusetts Institute of Technology, Carnegie Mellon University, Stanford University, National Center for Supercomputing Applications, and Lawrence Berkeley National Laboratory. The Institute is jointly managed and hosted by University of California, Berkeley and University of Illinois at Urbana-Champaign.
26 AI Research Projects to Mitigate the Pandemic
The C3.ai Digital Transformation Institute has selected 26 research proposals that advance Digital Transformation Science to mitigate COVID-19 and future pandemics. A total of $5.4 million in funding and access to the C3 AI Suite and Microsoft Azure computing and storage have been awarded in support of the projects. This funding cycle is closed; however, new calls for research will be announced soon.
C3.ai DTI Programs
Research Award Program
Through a Call for Research Proposals process managed by University of California, Berkeley and University of Illinois at Urbana-Champaign, C3.ai DTI annually grants up to 26 awards of up to $500,000 for 12 months in duration to research scientists affiliated with the DTI consortium.
In addition to the awards, C3.ai DTI provides recipients with cloud computing, supercomputing, data, and software resources. This will include unlimited use of the C3 AI Suite and access to the Blue Waters supercomputer at NCSA.
Multidisciplinary and multi-institution projects are favored. Recipients are encouraged to conduct breakthrough research and to pursue and establish larger research projects with federal and other funding sources.
Award recipients are expected to disseminate the results of their research during the award period, and all research results, methods, and algorithms, including algorithms and software, are made available in the public domain (non-exclusive royalty-free).
Visiting Scholars Program
C3.ai DTI is providing $750,000 per year to both University of California, Berkeley and University of Illinois at Urbana-Champaign to support six to 10 Visiting Scholars at their respective campuses. Visiting Scholars are distinguished professors and researchers from around the world, who will conduct collaborative research, teach, and publish works contributing to the new Science of Digital Transformation.
C3.ai DTI Visiting Scholars are encouraged to broaden the reach of the Institute by publishing substantive works that contribute to Digital Transformation Science. All research results, including methods, algorithms, and software, developed by C3.ai DTI Visiting Scholars are made freely available in the public domain.
C3.ai DTI annually makes up to 10 competitive awards of up to $50,000 each to faculty at member institutions, to develop undergraduate and graduate level courses that teach Digital Transformation Science. Example course topics include AI and IoT techniques, cybersecurity, privacy, ethics, and robust machine learning.
C3.ai DTI Visiting Scholars are required to teach at least one course module (15-30 hours podium time) to be webcast to Consortium Partners and Industry Partners. Scholars are also expected to teach one Industry Short Course. Distance learning curricula (on platforms such as Coursera or edX) are encouraged.
Data Analytics Platform
C3.ai DTI hosts an elastic cloud, big data, development, and operating platform, including the C3 AI Suite running on Microsoft Azure, to support C3.ai DTI research, curriculum development, and classwork. UC Berkeley and UIUC are providing additional scientific computing resources, including use of the National Center for Supercomputing Applications (NCSA) Blue Waters supercomputer and Lawrence Berkeley National Laboratory’s National Energy Research Scientific Computing Center (NERSC).
These resources are available to award recipients to conduct research on the development of AI machine learning algorithms, data security techniques, and cybersecurity methodologies. The Data Analytics Platform also serves as an instructional and research tool for Digital Transformation Science courses.
Resources available to C3.ai DTI from National Center for Supercomputing Applications include:
- 110,000 node hours on Blue Waters in 2020 for up to 20 research projects in 2020
- 800,000 node hours on a GPU System in 2021 for up to 20 research projects in 2021
- 800,000 node hours on a GPU System in 2022-2024 for up to 40 research projects per year
Resources available to C3.ai DTI from Lawrence Berkeley National Laboratory:
- 25 million NERSC hours in 2020-2021 for up to 20 research projects
- 50 million NERSC hours in 2022-2024 for up to 40 research projects
Resources available to C3.ai DTI from Microsoft Azure include:
- $2 million per year in Microsoft Azure compute, storage, and Azure services
- Cloud infrastructure to support 180 researchers
Resources available to C3.ai DTI from C3.ai include:
- Unlimited use of the C3 AI Suite software
- Up to $10 million per year in C3 Runtime
C3.ai DTI develops and manages an Outreach Program that includes an annual conference, an annual report, newsletters, published research, and the C3.ai DTI website. C3.ai provides up to $750,000 annually to support the C3.ai DTI Outreach Program.
C3.ai DTI supports an Industry Partners program that enables leading companies from around the world to engage with C3.ai DTI researchers and C3.ai DTI activities. Industry Partners contribute $100,000 per year to support C3.ai DTI’s operations and research, curriculum development, and education programs.
Industry Partners have the opportunity to contribute data sets that will be available for research after anonymization. Industry Partners are also encouraged to engage with Institute researchers and collaborate on research projects and participate in the annual C3.ai DTI Conference and attend Industry Short Courses.