Every year, The Michigan Institute for Computational Discovery & Engineering (MICDE) Catalyst Grants fund innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure. Topics of interest include, but are not limited to:
- Computational science approaches, algorithms, frameworks, etc.
- Emerging paradigms in computing (exascale computing, quantum computing, FPGA computing, etc.)
- Applications in emerging areas (neuroscience, ecology, evolutionary biology, human-made complex systems, mobility etc.)
- Extensions of traditional computational sciences to complex decision making (reinforcement learning, transfer learning, neuromorphic computing, etc.)
- Artificial Intelligence informing and informed by science
Generic big data problems that do not fundamentally advance computational science algorithms are not suitable for MICDE Catalyst Grants. Priority will be given to high-impact projects with potential to eventually attract external funding. MICDE expects to fund 3-4 one-year projects at up to $100,000 each.
Funded projects are listed below. Calls for proposals will be listed on this page when they are opened.