OSP FO# 11-091

AGENCY: Department of Health and Human Services (DHHS)/National Institutes of Health (NIH)/National Department of Energy (DOE)/U.S. Food and Drug Administration (FDA)/National Science Foundation (NSF)/National Institute of Biomedical Imaging and Bioengineering (NIBIB)/National Cancer Institute (NCI)/National Heart, Lung, and Blood Institute (NHLBI)/National Human Genome Research Institute (NHGRI)/National Institute on Aging (NIA)/National Institute on Alcohol Abuse and Alcoholism (NIAAA)/Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)/National Institute on Drug Abuse (NIDA)/National Institute of Environmental Health Sciences (NIEHS)/National Institute of General Medical Sciences (NIGMS)/National Center on Research Resources (NCRR)/Office of Behavioral and Social Sciences Research (OBSSR)/National Department of Energy (DOE) – Office of Biological and Environmental Research (BER)/U.S. Food and Drug Administration (FDA) – Division of Cardiovascular Devices, CDRH/National Science Foundation (NSF) – Directorate for Mathematical and Physical Sciences (MPS)/National Science Foundation (NSF) – Directorate for Engineering (ENG)/National Science Foundation (NSF) – Office of Cyberinfrastructure (OCI)

PROGRAM: Predictive Multiscale Models for Biomedical, Biological, Behavioral, Environmental and Clinical Research (Interagency U01)

OBJECTIVES: This program provides funding to support the development of multiscale models to accelerate biological, biomedical, behavioral, environmental and clinical research. The NIH, DOE, FDA, and NSF recognize that, to address the challenges of understanding multiscale biological and behavioral systems, researchers will need predictive, computational models that encompass multiple biological and behavioral scales. This program also encourages the development of new, non-standard modeling methods and experimental approaches to facilitate multiscale modeling.

This program is focused on biological and behavioral scales, which include atomic, molecular, molecular complexes, sub-cellular, cellular, multi-cell systems, tissue, organ, multi-organ systems, organism/individual, group, organization, market, environment, and populations. Multiscale models of biological and behavioral systems can be used as important tools to address a range of biomedical, biological, behavioral, environmental, and clinical problems. Multiscale modeling and analysis methods inherently provide a fundamental infrastructure for understanding and predicting biological and environmental processes; diseases; and human and organizational behavior patterns and outcomes.

For this program specific topics of interest include, but are not limited to, those listed below:

  • addressing compelling biological, biomedical, behavioral, environmental and clinical problems that require multiscale models to bring together different spatial and temporal scales within a specific field
  • next generation multiscale models that integrate between different fields (e.g. cardiovascular and neuroscience) and predict integrated functions
  • novel methods to fuse data-rich and data-poor scales to enable predictive modeling
  • novel methods to fuse biological and/or behavioral processes and mechanisms to model outcomes as a result of various interventions
  • useable and reuseable multiscale models that will be integrated and adopted into model-poor fields (e.g. tissue engineering, regenerative medicine, drug and gene delivery, preventive interventions)
  • multiscale models strongly coupled with standardized protocols for model-driven data collection
  • implementing virtual clinical trials with multiscale models to predict outcomes
  • problem-driven multiscale models that require high performance computing
  • model predictions that drive a community of experimentalists towards systematic testing and validation
  • predictive multiscale models that strongly incorporate uncertainty quantification
  • mechanistic multiscale models that bridge to the population level to capture more clinical and biological realism for the population
  • stochastic multiscale models that characterize interactions between individual-level behaviors and group-, market-, or population-level outcomes
  • models to explore underlying mechanisms of individual-, community-, or population-level preventive or therapeutic interventions
  • predictive multiscale models to improve clinical workflow, standard operating procedures, patient-specific modeling for diagnosis and therapy planning

In addition, this program seeks to achieve its scientific goals by encouraging interactive partnerships that integrate truly diverse expertise to further increase the impact of multiscale models in the broader research and policy community. Please see the program announcement below for further details.

Letter of Intent (optional): 30 days before the Application Due Date
Full Proposal: June 17, September 27, and January 31, 2012

FUNDING INFORMATION: This program will use the NIH U01 Cooperative Agreement award mechanism. The number of awards is contingent upon NIH, DOE, FDA, and NSF appropriations, and the submission of a sufficient number of meritorious applications. Projects are limited to Total Direct Costs of $500,000 per year. Budgets are expected to range from $200,000 to $400,000 in Total Direct Costs each year for up to 5 years.

Grace C.Y. Peng, Ph.D.
Program Director
National Institute of Biomedical Imaging and Bioengineering, NIH, DHHS
6707 Democracy Boulevard, Suite 200
Bethesda, MD 20892-5477
Telephone: (301) 451-4778
Email: grace.peng@nih.gov
Web: http://grants.nih.gov/grants/guide/pa-files/PAR-11-203.html

REMARKS: NIH requires that applications to this program be submitted electronically through Grants.gov (http://www.grants.gov). After submission via Grants.gov, applications will be retrieved and processed by the NIH Commons system (https://commons.era.nih.gov/commons/index.jsp). In order to prepare a responsive application, PIs should download both the complete program guidelines (PA-11-203) and the corresponding application package from Grants.gov as well as the NIH Grants.gov Application Guide (http://grants.nih.gov/grants/funding/424/index.htm). PIs must also be registered Commons users.

For more information about Grants.gov and the NIH Commons, or to register as a Commons user, please contact either India Adams (adamsi@bu.edu) or A. B. Effgen (abeffgen@bu.edu) in the Office of Sponsored Programs (OSP) at x3-4365. In addition, please contact the OSP Assistant Director assigned to your school or department as soon as possible to coordinate submission through the Grants.gov system.

Complete program guidelines and application material may be obtained from the web site listed above or from the Office of Sponsored Programs (OSP). Please distribute this notice to any faculty or staff members who might be interested in the information. For more information, please contact the OSP at X3-4365 or ospinfo@bu.edu, or visit the OSP web site at http://www.bu.edu/osp.