Funding
Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning (SenSE) solicitation
PROGRAM SOLICITATION
NSF 20-556
Full Proposal Deadline: June 08, 2020
Intelligent, interactive, and networked multimodal sensing and imaging systems are a growing part of the biomedical landscape. However, present day multimodal bio-sensing systems for continuous monitoring lack sufficient accuracy, sensitivity, reproducibility, reliability, and precision, and thus quantitative analysis is made more difficult as each sensor modality has its own failure modes and limitations. Some of the challenges in precision health include: correlation of heterogeneous data streams; privacy and security of personal health data; building predictive models; integration of diverse data types; subgroup identification; uncertainty in quantification; and continuous progress in multimodal systems incorporating physical, chemical and biological sensing hardware with existing biomechanical and mechanobiological knowledge such as mechano- and chemo-sensing abilities of cells.
Artificial Intelligence (AI), Machine Learning (ML), and related Mathematical and Statistical (MS) methods offer tremendous opportunities for breakthroughs in precision health by leveraging advances in sensing, imaging, and communication systems hardware and integrating them with data driven model-based learning and decision making. To enhance the effectiveness of treatments for patients based on their molecular, genetic, environmental, biomechanical, mechanobiological, lifestyle and medical history data, currently there is a need for new scientific breakthroughs that permit the incorporation of modularity and learning capabilities at the systems level. To address this need, this solicitation seeks to stimulate the broader community of engineering, computer, mathematical and statistical sciences to achieve bold advances in integrative multimodal sensor systems for precision health that incorporate new smart, functional and reconfigurable materials, device structures and circuits, together with innovative artificial intelligence, machine learning, and related mathematical and statistical methods.
II. PROGRAM DESCRIPTION
The purpose and focus of this solicitation is to stimulate communities from electrical, computer, chemical, biological and mechanical engineering to collaborate with researchers from computer and mathematical sciences, thereby promoting multidisciplinary research that addresses future challenges in precision health using multimodal sensor systems enabled by data harnessing, artificial intelligence, real time learning and decision-making capabilities. The goal of this program is to stimulate non-traditional thinking and new methodologies regarding the issues facing precision health by addressing all three of the following research themes:
C. Due Dates
NSF 20-556
Full Proposal Deadline: June 08, 2020
Intelligent, interactive, and networked multimodal sensing and imaging systems are a growing part of the biomedical landscape. However, present day multimodal bio-sensing systems for continuous monitoring lack sufficient accuracy, sensitivity, reproducibility, reliability, and precision, and thus quantitative analysis is made more difficult as each sensor modality has its own failure modes and limitations. Some of the challenges in precision health include: correlation of heterogeneous data streams; privacy and security of personal health data; building predictive models; integration of diverse data types; subgroup identification; uncertainty in quantification; and continuous progress in multimodal systems incorporating physical, chemical and biological sensing hardware with existing biomechanical and mechanobiological knowledge such as mechano- and chemo-sensing abilities of cells.
Artificial Intelligence (AI), Machine Learning (ML), and related Mathematical and Statistical (MS) methods offer tremendous opportunities for breakthroughs in precision health by leveraging advances in sensing, imaging, and communication systems hardware and integrating them with data driven model-based learning and decision making. To enhance the effectiveness of treatments for patients based on their molecular, genetic, environmental, biomechanical, mechanobiological, lifestyle and medical history data, currently there is a need for new scientific breakthroughs that permit the incorporation of modularity and learning capabilities at the systems level. To address this need, this solicitation seeks to stimulate the broader community of engineering, computer, mathematical and statistical sciences to achieve bold advances in integrative multimodal sensor systems for precision health that incorporate new smart, functional and reconfigurable materials, device structures and circuits, together with innovative artificial intelligence, machine learning, and related mathematical and statistical methods.
II. PROGRAM DESCRIPTION
The purpose and focus of this solicitation is to stimulate communities from electrical, computer, chemical, biological and mechanical engineering to collaborate with researchers from computer and mathematical sciences, thereby promoting multidisciplinary research that addresses future challenges in precision health using multimodal sensor systems enabled by data harnessing, artificial intelligence, real time learning and decision-making capabilities. The goal of this program is to stimulate non-traditional thinking and new methodologies regarding the issues facing precision health by addressing all three of the following research themes:
- Design and fabrication of novel multimodal sensor system hardware
- Integration of multimodal sensor system with novel AI, ML and MS tools to build new predictive models for learning and decision making
- Characterization and validation of multimodal sensor systems for identification of biomarkers for precision health
C. Due Dates
- Full Proposal Deadline(s) (due by 5 p.m. submitter's local time):
Future of Work at the Human-Technology Frontier: Core Research (FW-HTF) Program Solicitation NSF 19-541
Full Proposal Deadline(s) (due by 5 p.m. submitter's local time): March 06, 2019
https://www.nsf.gov/news/special_reports/big_ideas/human_tech.jsp
In 2016, the National Science Foundation (NSF) unveiled a set of “Big Ideas,” 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Engineering (ENG), Office of Emerging Frontiers and Multidisciplinary Activities (ENG/EFMA), once received the proposals will be managed by a cross-disciplinary team of NSF Program Directors.
https://www.nsf.gov/news/special_reports/big_ideas/human_tech.jsp
In 2016, the National Science Foundation (NSF) unveiled a set of “Big Ideas,” 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Engineering (ENG), Office of Emerging Frontiers and Multidisciplinary Activities (ENG/EFMA), once received the proposals will be managed by a cross-disciplinary team of NSF Program Directors.
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505364
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504739
Smart and Connected Communities - NSF
The goal of the NSF Smart and Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering ...
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504739
Smart and Connected Communities - NSF
The goal of the NSF Smart and Connected Communities (S&CC) program solicitation is to accelerate the creation of the scientific and engineering ...