Quantitative Systems Biotechnology (QSB) Crosscutting Programs
|Mitra Basu||CISE/CCF||Maria K. Burka|
|Ken P. Chong||Frederick G. Heineken|
|Glenn H. Larsen||Michael Steuerwalt||MPS/DMS|
|Paul J. Werbos|
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.
As a result of recent advances in genomic and biochemical analysis, informatics, mathematics, and the engineering disciplines, it is now possible to approach an understanding of the integrated processes which translate the information contained in the genome into functioning biological entities. Systems engineering approaches will be essential for characterizing the emergence of biological phenotypes from underlying hierarchies of interactions and environmental influences. Understanding the quantitative systems behavior of cellular systems is important in its own right as well as providing a conceptual basis for biotechnological process development.
This Quantitative Systems Biotechnology solicitation seeks innovative high-risk/high-return proposals, which combine in-depth analysis of large-scale cellular biological systems, or their representations, with creative software tools for the development of computer models as well as complementary quantitative experimental approaches. Multidisciplinary proposals are encouraged.