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. All aspects of computational science remain of broad interest.
Generic big data problems that do not fundamentally advance computational science algorithms are not suitable for MICDE Catalyst Grants.
For the 2022 call, the Principal Investigator of the project must be an (un-tenured) assistant professor, an assistant research professor, an assistant research scientist, or a clinical research professor at the University of Michigan (Ann Arbor, Dearborn or Flint campuses). We do encourage collaborations with more senior faculty. Priority will be given to high-impact projects with potential to seed a bigger effort within the University and eventually attract large-scale external funding. MICDE expects to fund up to 4 one-year projects at up to $50,000 each.
Review Criteria
- Is computational science of main relevance to the project?
- Is the proposed work sufficiently novel, relative to the field, rather than an incremental extension of existing work?
- 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?
- Have the ideas being proposed demonstrated a likelihood of success?
- Is this an area that may attract other researchers in U-M and grow into a larger, interdisciplinary effort?
Budget and Justification
A maximum of $50,000 may be requested. Graduate student/post-doc/consultant salaries, travel, and cost for accessing high performance computing resources are allowable expenses. We expect that 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. Indirect costs will not be levied on the funds and no cost sharing is required.