Image courtesy of Dr. Danny Bluestein, SUNY Stony Brook

Interagency Modeling and Analysis Group (IMAG)

In April 2003, the Interagency Modeling and Analysis Group (IMAG) was formed; starting from a working group comprised of program staff from nine Institutes of the National Institutes of Health (NIH) and three directorates of the National Science Foundation (NSF). IMAG now represents over 50 program staff from 10 government agencies in the United States and Canada.

• Listing of IMAG Participants

Since its creation, this group has convened monthly through virtual meetings and at various locations of the IMAG participants. All IMAG participants are involved in managing research programs in biomedical, biological and behavioral systems that require the development of new and novel modeling and analysis methods.

The purpose of IMAG is to provide an open forum for communication among government representatives to share updates on individual programs from the various IMAG agencies, and to plan trans-agency activities that will have a broad impact on the communities served by IMAG.

Government program officers interested in joining IMAG should contact Dr. Grace Peng.

The Multiscale Modeling (MSM) Consortium

In 2003, IMAG recognized that the modeling community was on the forefront of thinking across the biological continuum, rather than just focusing at one scale or level of resolution. In addition, IMAG identified a strong desire among modelers to form multi-disciplinary partnerships across varied research communities. This led to the development in 2004 of the Interagency Opportunities in Multiscale Modeling in Biomedical, Biological, and Behavioral Systems Solicitation. The 24 awardees from this solicitation subsequently formed the MultiScale Modeling (MSM) Consortium in 2006. The MSM Consortium has now grown to include over 75 projects relevant to multiscale modeling.

• Listing of MSM Participants

Current IMAG Funding Opportunities  PAR-11-203: Predictive Multiscale Models for Biomedical, Biological, Behavioral, Environmental and Clinical Research (Interagency U01)  Frequently Asked Questions for PAR-11-203: Predictive Multiscale Model for Biomedical, Biological, Behavioral, Environmental and Clinical Research (Interagency U01)

Since 2006, the MSM Consortium has met annually as well as during the year on-line and through virtual meetings. The MSM Consortium provides opportunities to:

• network with other MSM investigators, MSM participants, and projects;
• easily converse with program officers from ten government agencies and IMAG participants from the U.S. and Canada;
• participate in focused Working Group discussions on the wiki;
• participate in virtual scientific presentations by all Working Groups throughout the year;
• participate in annual meetings of the MSM Consortium and IMAG/MSM events;
• learn about the latest modeling and MSM-related activities from around the world; and
• access various resources for modeling.

All activities of the MSM Consortium are live on the IMAG wiki. Researchers interested in joining the MSM Consortium should visit: MSM Consortium FAQs.

All researchers are welcome to join individual MSM Consortium Working Groups by contacting the Working Group Leads listed at: Multiscale Modeling Working Groups.

IMAG Agencies

http://www.nih.gov(Funding Opportunities)

http://www.nsf.gov/ (Funding Opportunities)

http://www.nasa.gov/ (Funding Opportunities)

http://www.energy.gov/ (Funding Opportunities)

http://www.defense.gov/ (Funding Opportunities)

United States Department of Agriculture (USDA)

http://www.usda.gov/ (Funding Opportunities)

United States Department of Veteran Affairs (USDVA)

http://www.va.gov/ (Funding Opportunities)

United States Food and Drug Administration

http://www.fda.gov/ (Funding Opportunities)

Mathematics of Information Technology and Complex Systems (Canada)

http://www.mitacs.ca/ (Funding Opportunities)

 

For more information, contact:

Grace C.Y. Peng, PhD
IMAG Chair
6707 Democracy Blvd, Suite 200
Bethesda, MD 20892
301-451-4778 (Phone)
301-480-1614 (Fax)

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