FOA Title: 
Notice of Updates to the IMAG Multiscale Modeling Initiative (PAR-15-085)
Grant Type: 
NOT-EB-16-011
Primary IC: 
NIBIB
Release Date: 
Dec 22 2016
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Notice Updates the IMAG Multiscale Modeling Initiative PAR-15-085) Notice Number: NOT-EB-16-011 Key Dates Release Date: December 22, 2016   Related Announcements PAR-15-085 Issued National Institute Biomedical Imaging Bioengineering NIBIB) National Cancer Institute NCI) National Heart, Lung, Blood Institute NHLBI) National Human Genome Research Institute NHGRI) National Institute Aging NIA) National Institute Alcohol Abuse Alcoholism NIAAA) National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) National Institute Drug Abuse NIDA) National Center Complementary Integrative Health NCCIH) National Institute Environmental Health Sciences NIEHS) Office Behavioral Social Sciences Research OBSSR) U.S. Army Research Office ARO) - Biomathematics Department Energy DOE) - Office Science, Biological Environmental Research Program (BER) U.S. Food Drug Administration (FDA) – Office In-Vitro Diagnostics Radiological Health OIR), CDRH U.S. Food Drug Administration FDA) – Office Device Evaluation ODE), CDRH U.S. Food Drug Administration FDA) – Office Science Engineering Laboratories OSEL), nbsp;CDRH National Science Foundation NSF) - Directorate Computer amp; Information Science amp; Engineering CISE) National Science Foundation NSF) - Directorate Engineering ENG) National Science Foundation NSF) - Directorate Mathematical Physical Sciences MPS) National Aeronautics Space Administration NASA) - Human Research Program HRP) Office Naval Research ONR) - Division 311 nbsp; Purpose purpose this Notice to clarify programmatic goals specific interests the interagency funding opportunity announcement FOA) PAR-15-085, Predictive Multiscale Models Biomedical, Biological, Behavioral, Environmental Clinical Research U01).  application submission process remain same.  Notice providing additional information to: 1) express particular interest applications proposing development non-standard mathematical, statistical computational modeling methods address multiscale modeling research challenges would benefit joint interagency funding.  2) update Specific Interests the 22 participating funding components the associated Scientific/Research contacts.  1) funding components the seven funding agencies very interested jointly funding integrated research efforts incorporating research non-standard multiscale modeling methods within single project.  Applicants strongly encouraged submit applications develop multiscale models are high risk, push boundaries novel multiscale modeling methodologies. Applications should emphasize addressing multiscale modeling methodological challenges, while using domain applications testbeds addressing challenges. 2) Specific Interests section below lists updated interest statements all 22 funding components.  Below, excerpted statements the six non-NIH funding components, describing examples non-standard multiscale modeling methods: ARO:  innovative modeling methods, especially traditionally quot;pure" areas mathematics such topology, differential geometry, algebra DOE:  new methods characterizing imaging molecular systems, to synthesize redesign biology processes FDA:  models predict whether proposed medical product design function properly safely NASA:  overall conceptual framework organizing principle which might better understand the organism a whole responds space flight NSF:  Advances methods tools predictive modeling, simulation, analysis emergent behavior complex multiscale systems of interest, including issues verification, validation, uncertainty quantification across scales. ONR:  Basic research modeling dynamical properties networks determining causal effects influences needed networks interconnected nodes such social biological/neural networks would helpful the applicants identify agencies may interest specific research efforts within potential research proposal. Applicants strongly encouraged consult the Scientific/Research contacts based the Specific Interests the participating funding components. of 22 funding components participating this FOA involved contributing the review funding process; reserves right fund not fund those efforts regardless decisions other agencies. nbsp;For those applications are selected potential joint funding non-NIH funding components, PD/PI be requested submit same application directly interested funding agencies after review completed.  Specific Interests: following section describes updated specific interests two the 22 participating funding components this FOA. interests examples are limited these cases. Applicants strongly encouraged see full listing Specific Interests the guidelines Section I) contact funding components. U.S. Army Research Office ARO), Biomathematics Program interested basic, high-risk, high-reward research uses, develops, analyzes mechanistic multiscale mathematical models uncover fundamental relationships a wide variety biological systems. models use mathematical techniques fields traditionally used modeling, such probability, dynamical systems, partial differential equations, innovative modeling methods especially traditionally quot;pure" areas mathematics such topology, differential geometry, algebra. particular interest currently projects use mathematical modeling find commonalities mechanism between different biological systems that express underlying principles mathematical terms, well research taking advantage recent advances neuroscience newly-available experimental data gain fundamental understanding brain physiology, cognition, neurological disease through multiscale modeling. Office Naval Research ONR) Mathematical Data Science MDS) Program concerned basic research mathematics, probability statistics, signal processing, machine learning, data engineering, information theory.  program aims develop rigorous mathematical algorithmic answers questions are currently addressed using heuristics non-principled approaches. Recent advances technology led the era massive data sets are only larger, both terms sample size dimensionality the data, also complex. data be multi-modal, multi-relational gathered different sources. massive data sets (“Big Data”) introduce unique computational statistical challenges require development new theoretical principles can extend inference learning algorithms massive scales. outstanding question the MDS program addressing how balance tradeoff between computational accuracy computational resources analyzing large complex datasets.  of most challenging datasets include networks interconnected nodes such social biological/neural networks. Basic research modeling dynamical properties networks determining causal effects influences needed this area. In addition, program interested addressing challenges collaborative decision making developing crowdsourcing methods solving complex problems. application ONR should include full work the budget corresponding only tasks associated the interests the MDS program. Furthermore, is responsibility the applicants provide justification the interagency funding support. Specifically, applicant should explain why interagency support needed how the efforts are funded different agencies benefit effort is targeting MDS program. Proposers encouraged contact Program Officer discuss research interest prior the submission formal proposals. Prior Consultation Scientific/Research Staff Consultation relevant Scientific/Research staff strongly encouraged, later the Letter Intent due date. is the same the Letter Intent, should included a separate communication the Scientific/Research Contacts, Section VII.  requested the applicants, staff advise whether proposed project meets goals this FOA.  Staff not evaluate technical scientific merit the proposed project; technical scientific merit be determined during peer review using review criteria indicated this FOA. During consultation phase, the proposed project does meet programmatic needs this FOA, applicants be strongly encouraged consider Funding Opportunities.  Inquiries Please direct inquiries to: Grace Peng, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4778 Email: grace.peng@nih.gov Jennifer Couch, Ph.D. National Cancer Institute NCI) Telephone: 240-276-6210 Email: couchj@ctep.nci.nih.gov Wen Chen, Ph.D. National Center Complementary Integrative Health NCCIH) Telephone: 301-451-3989 Email: chenw@mail.nih.gov Pankaj Qasba, Ph.D. National Heart, Lung Blood Institute NHLBI) Telephone: 301-435-0050 Email: qasbap@nhlbi.nih.gov Michael J. Pazin, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-496-7531 Email: pazinm@mail.nih.gov Coryse St. Hillaire-Clarke, Ph.D. National Institute Aging NIA) Telephone: 301-496-9350 Email: sthillaireclacn@mail.nih.gov Gregory Bloss, M.A., M.P.P. National Institute Alcohol Abuse Alcoholism NIAAA) Telephone: 301-443-3865 Email: Gregory.Bloss@nih.gov Gayle Lester, Ph.D. National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Division Musculoskeletal Diseases Telephone: 301-594-3511 Email: lester1@mail.nih.gov Hung Tseng, Ph.D. National Institute Arthritis Musculoskeletal Skin Diseases NIAMS) Division Skin Rheumatic Disease Telephone: 301-594-5032 Email: tsengh@mail.nih.gov Regina Bures, Ph.D. Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) Email: buresrm@mail.nih.gov Susan Volman, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-435-1315 Email: svolman@nida.nih.gov David Balshaw, PhD National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-2448 Email: balshaw@niehs.nih.gov Bill Riley, Ph.D. Office Behavioral Social Science Research OBSSR) Telephone: 301-402-1146 Email: william.riley@nih.gov Virginia B. Pasour, PhD U.S. Army Research Office ARO) Telephone: 919-549-4254 Email: virginia.b.pasour.civ@mail.mil Ramana Madupu, Ph.D. Department Energy DOE), Biological Environmental Research Telephone: 301-366-2916 Email: ramana.madupu@science.doe.gov Donna R. Lochner Food Drug Administration FDA) Telephone: 301-796-6309 Email: donna.lochner@fda.hhs.gov Mary Ann Horn, Ph.D. National Science Foundation, Directorate Mathematical Physical Sciences NSF-MPS) Telephone: 703-292-4879 Email: mhorn@nsf.gov Vipin Chaudhary, Ph.D. National Science Foundation, Directorate Computer amp; Information Science amp; Engineering NSF-CISE) Telephone: 703-292-2254 Email: vipchaud@nsf.gov Michele Grimm, Ph.D. National Science Foundation, Directorate Engineering NSF-ENG) Telephone: 703-292-4641 Email: mgrimm@nsf.gov Pedja Neskovic, Ph.D. Office Naval Research ONR) Telephone: 703-696-4304 Email: predrag.neskovic@navy.mil Jennifer Fogarty, Ph.D. National Aeronautics Space Administration NASA) Email: jennifer.fogarty-1@nasa.gov