Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data

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Funding Opportunity ID: 285237
Opportunity Number: 16-573
Opportunity Title: Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Grant
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s): 47.049
93.172
93.173
93.213
93.242
93.273
93.279
93.286
93.350
93.361
93.396
93.846
93.847
93.853
93.856
93.859
93.865
93.866
93.867
93.879
93.989
Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:
Agency Code: NSF
Agency Name: National Science Foundation
Posted Date: Jun 21, 2016
Close Date: Sep 28, 2016
Last Updated Date: Jun 21, 2016
Award Ceiling:
Award Floor:
Estimated Total Program Funding: $5,000,000
Expected Number of Awards: 20
Description: Recent advances in medical and healthcare technologies are creating a paradigm shift in how medical practitioners and biomedical researchers approach the diagnosis, prevention, and treatment of diseases. New imaging technologies, advances in genetic testing, and innovations in wearable and/or ambient sensors are allowing researchers to predict health outcomes and develop personalized treatments or interventions. Coupled with the rapid growth in computing and infrastructure, researchers now have the ability to collect, store, and analyze vast amounts of health- and disease-related data from biological, biomedical, behavioral, social, environmental, and clinical studies. The explosion in the availability of biomedical big data from disparate sources, and the complex data structures including images, networks, and graphs, pose significant challenges in terms of visualization, modeling, and analysis. While there have been some encouraging developments related to foundational mathematical, statistical, and computational approaches for big data challenges over the past decade, there have been relatively few opportunities for collaboration on challenges related to biomedical data science. The National Science Foundation (NSF) and the National Institutes of Health (NIH) recognize that fundamental questions in basic, clinical, and translational research could benefit greatly from multidisciplinary approaches that involve experts in quantitative disciplines such as mathematics, statistics, and computer science. The Quantitative Approaches to Biomedical Big Data Program is designed to support research that addresses important application areas at the intersection of the biomedical and data sciences by encouraging inter- and multi-disciplinary collaborations that focus on innovative and transformative approaches to address these challenges.
Version: Synopsis 1

Source:: http://www.grants.gov/web/grants/view-opportunity.html?oppId=285237

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