Quick Links:
Information on Call for Proposals
Proposal Matchmaking (Archive from 2020 CFP)
C3 Administration (password protected)
Have Questions? Please contact one of us:
- Jay Roloff, jayr@illinois.edu (Executive Director, c3.ai.DTI)
- R. Srikant, rsrikant@illinois.edu (Co-Director, c3.ai.DTI)
- Tandy Warnow, warnow@illinois.edu (Co-chief Scientist, c3.ai.DTI)
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Announcing our Third Call for Proposals:
AI to Transform Cybersecurity and Secure Critical Infrastructure
It is anticipated that up to USD $10 million in Research Awards will be awarded from this Call for Proposals. Proposals can request funding of USD $100,000 to $1,000,000 for an initial period of one (1) year.
C3DTI will also make available up to USD $2 million in Azure Cloud computing resources, supercomputing resources at UIUC’s NCSA and LBNL’s NERSC, and free, unlimited access to the C3 AI Suite hosted on the Microsoft Azure Cloud.
**** We will be offering a virtual session with information on the CFP including an opportunity to ask questions early in January. Please keep an eye out on you email and this wiki page for more information. ****
Proposals are Due February 7, 2022
Awards will be made in March 2022 with start dates of around June 1, 2022
Announcements
July 30, 3 pm CT
Networked Epidemiology Models for COVID-19 Analysis and Control
Carolyn Beck, Professor of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign; Tamer Ba?ar, the Swanlund Endowed Chair and CAS Professor of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign; and Rebecca Smith, Associate Professor, Department of Pathobiology, University of Illinois College of Veterinary Medicine
Spread of epidemics over large populations has been an important research area for several centuries, studied by epidemiologists, statisticians, mathematicians, and more recently data scientists. Over the past eight months or so, the science of epidemics has accelerated at an exponential rate due to the global threat caused by COVID-19. In addition, for quite some time, mathematical models of epidemics have been developed to help predict spread and inform policy makers as to what types of containment measures might be effective. In this lecture, Carolyn Beck, Tamer Ba?ar, and Rebecca Smith will introduce several mathematical models within a networking (graph-theoretic) framework and discuss their work as well as others’ in: analyzing stability (or instability) of the equilibrium states (endemic and disease-free equilibria); optimally determining curing rates (through antidote control techniques); optimally modifying the network structure so as to mitigate spread; and developing algorithms to assimilate real- time testing data into networked epidemiological models. The speakers will discuss the plans of their project team—also comprised of Prashant Mehta (PI) and Matthew West of the University of Illinois at Urbana-Champaign and Philip E. Paré of Purdue University—in the development of models, algorithms, and software tools to support the state-level PCR (polymerase chain reaction) and serological testing efforts.
Quick Links:
Information on Call for Proposals
Proposal Matchmaking Matchmaking
C3 Administration (password protected)
Have Questions? Please contact one of us:
- Jay Roloff, jayr@illinois.edu (Executive Director, c3.ai.DTI)
- R. Srikant, rsrikant@illinois.edu (Co-Director, c3.ai.DTI)
- Tandy Warnow, warnow@illinois.edu (Co-chief Scientist, c3.ai.DTI)
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