Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data
The summary for the Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data grant is detailed below.
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Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data: 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.
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.
Federal Grant Title: | Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data |
Federal Agency Name: | National Science Foundation |
Grant Categories: | Other |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 16-573 |
Type of Funding: | Information not provided |
CFDA Numbers: | 326707, 326723, 326711, 326721, 326727, 326709, 326717, 326712, 326710, 326725, 326714, 326722, 326716, 326720, 326718, 326726, 326715, 326713, 326719, 326724, 326708, 326728 |
CFDA Descriptions: | Mathematical and Physical Sciences; Human Genome Research; Research Related to Deafness and Communication Disorders; Research and Training in Complementary and Integrative Health; Mental Health Research Grants; Alcohol Research Programs; Drug Abuse and Addiction Research Programs; Discovery and Applied Research for Technological Innovations to Improve Human Health; National Center for Advancing Translational Sciences; Nursing Research; Cancer Biology Research; Arthritis, Musculoskeletal and Skin Diseases Research; Diabetes, Digestive, and Kidney Diseases Extramural Research; Extramural Research Programs in the Neurosciences and Neurological Disorders; Microbiology and Infectious Diseases Research; Biomedical Research and Research Training; Child Health and Human Development Extramural Research; Aging Research; Vision Research; Medical Library Assistance; International Research and Research Training |
Current Application Deadline: | Sep 28, 2016 |
Original Application Deadline: | Sep 28, 2016 |
Posted Date: | Jun 21, 2016 |
Creation Date: | Jun 21, 2016 |
Archive Date: | Oct 11, 2018 |
Total Program Funding: | $5,000,000 |
Maximum Federal Grant Award: | none |
Minimum Federal Grant Award: | none |
Expected Number of Awards: | 20 |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- Information not provided
- Link to Full Grant Announcement
- NSF Publication 16-573
- Grant Announcement Contact
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