The Michigan Institute for Computational Discovery & Engineering (MICDE) seeks proposals for 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.
Click here to read about the proposals that were funded during the first two rounds of awards.
- Is the proposed work sufficiently novel, relative to the field, rather than an incremental extension of existing work?
- Have the ideas being proposed demonstrated a likelihood of success?
- Is there a plan for specific external funding agencies to be approached as an outcome of the proposed project, and a justification for why those agencies may find the work compelling?
- For full proposals: has a plan been formulated for how the infrastructure of Advanced Research Computing (ARC) at U-M will be leveraged in a proposal to external funding agencies?
Budget and Justification
A maximum of $100,000 may be requested. Graduate student/post-doc salaries, PI/Co-PI summer salaries, travel, and cost for accessing ARC computing resources are allowable expenses. At least 80% of the funds should support post-doctoral fellows and/or graduate students. Projects must include a detailed work plan for all involved personnel, including PIs/co-PIs. Indirect costs will not be levied on the funds and no cost sharing is required.