The C3.ai Digital Transformation Institute (C3.ai DTI) is a new research consortium established by C3.ai, Microsoft Corporation, 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, the National Center for Supercomputing Applications at UIUC, and Lawrence Berkeley National Laboratory at UC Berkeley. Jointly managed and hosted by UC Berkeley and UIUC, C3.ai DTI was created to establish the new Science of Digital Transformation of Societal Systems.
C3.ai DTI’s mission is to attract the world’s leading scientists to join in a coordinated and innovative effort to advance the digital transformation of business, government, and society. Through partnerships with leading universities and strategic engagement with key industry partners, C3.ai DTI will catalyze advances in mathematical, statistical, and computing research, including Machine Learning (ML), Artificial Intelligence (AI), and the Internet of Things (IoT). Through fundamental scientific advances, algorithms, mechanism designs, business change management practices, and social, legal, and ethical considerations, C3.ai DTI will develop the tools and design thinking necessary to effect digital transformation in basic and applied sciences, diverse industry sectors, and critical infrastructures.
Immediate First Call for Proposals
AI Techniques to Mitigate Pandemic
- Applying machine learning/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 and analyzing data on medications, therapies, and interventions
- Modeling, simulation, prediction of 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, including the role of edge computing/IoT for gathering data
- Improving societal resilience in response to the spread of 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.
Up to $5.8 million in awards will be funded from this first call, ranging from $100,000 to $500,000 each. In addition to cash awards, C3.ai DTI recipients will be provided with significant cloud computing, supercomputing, data access, and AI software resources and technical support provided by Microsoft and C3.ai. This will include unlimited use of the C3 AI Suite, access to the Microsoft Azure cloud platform, and access to the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA) and the NERSC Perlmutter supercomputer at Lawrence Berkeley Lab.
The first call for proposals is open now, with a deadline of May 1, 2020. Researchers are invited to learn more about C3.ai DTI and how to submit their proposals for consideration at C3DTI.ai. Selected proposals will be announced by June 1, 2020.
C3.ai DTI Programs
Research Award Program
Through a semi-annual Call for Research Proposals process managed by UC Berkeley and UIUC, C3.ai DTI will annually award up to 26 cash awards, of $100,000, $200,000 and $500,000 each. The university leads will review the proposals and make the awards, that will be for 12 months in duration.
In addition to the cash awards, the C3.ai DTI awards provide recipients with significant 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 will be favored. Recipients will be encouraged to conduct breakthrough research and to pursue and establish larger research projects with federal and other funding sources.
Award recipients will disseminate the results of their research during the award period, and all research results, methods, and algorithms, including algorithms and software from their research, will be made freely available in the public domain (non-exclusive royalty-free).
Visiting Professors & Research Scientists
C3.ai DTI will provide $750,000 per year to each of UC Berkeley and UIUC to support C3.ai DTI Visiting Scholars at each of their respective campuses. These funds will support 6-10 person-years each year. Visiting scholars will include distinguished researchers chosen from all over the world, who will conduct collaborative research, teach, and publish substantive works contributing to the new digital transformation science.
C3.ai DTI will make annual awards – including up to 10 competitive awards of up to $50,000 each – to faculty at member institutions to develop undergraduate and graduate-level curricula that teach the emerging field of Digital Transformation Science. Course topics will include AI and IoT techniques, cybersecurity, privacy, ethics, and robust machine learning.
The C3.ai DTI Visiting Scholars will be required to teach at least one self-contained course module (15-30 hours podium time that will be recorded and curated) to be webcast to the Consortium Partners and Industry Partners. Scholars will also be expected to teach one industry-oriented short course. Distance learning curricula (such as Coursera or edX) will be encouraged.
The C3.ai DTI Visiting Scholars will be encouraged to broaden the reach of the Institute beyond the partner institutions. It is expected that C3.ai DTI Visiting Scholars will publish substantive works to contribute to the science within the year, in the form of longer working papers, algorithms and software, or monographs.
All research results, including methods, algorithms and software resulting from the collaborative research conducted by the C3.ai DTI Visiting Scholars will be made freely available in the public domain.
Data Analytics Platform
C3.ai DTI will host an elastic cloud, big data, development, and operating platform, including the C3 AI Suite hosted in a Microsoft Azure instance, for the purpose of supporting C3.ai DTI research, curriculum development, and classwork. UC Berkeley and UIUC will provide additional scientific computing resources, including use of the National Center for Supercomputing Applications (NCSA) Blue Waters supercomputer at UIUC and Lawrence Berkeley National Laboratory’s National Energy Research Scientific Computing Center (NERSC).
These resources will be available to award recipients to conduct research on the development of AI machine learning algorithms, data security techniques, and cyber security methodologies related specifically to AI and IoT. The AI/Machine Learning and Data Analytics platform will also serve as an instructional and research platform 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 will develop and manage a robust Educational Program that includes an annual conference, annual report, newsletters, published research, and a dedicated C3.ai DTI website. C3.ai will provide up to $750,000 annually to support the C3.ai DTI Educational Program.
C3.ai DTI will have an active Industry Partners program that brings in leading companies globally to engage with C3.ai DTI researchers and C3.ai DTI activities. Industry Partners will each contribute $100,000 per year to support C3.ai DTI’s operations.
Industry Partners will have the opportunity to contribute data sets that will be available for research after anonymization. Industry Partners will also be invited to participate in research projects, the annual C3.ai DTI Conference and Industry Short Courses.