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Multimodal Sensor Systems for Precision Health Enabled by Data Harnessing, Artificial Intelligence, and Learning  (SenSE)


CONTACTS
Name Email Phone Room
Radhakisan  S. Baheti rbaheti@nsf.gov (703) 292-8339   
Shubhra  Gangopadhyay sgangopa@nsf.gov (703) 292-2485   
Laurel  C. Kuxhaus lkuxhaus@nsf.gov (703) 292-4465   
Wendy  Nilsen wnilsen@nsf.gov (703) 292-2568   
Balakrishnan  Prabhakaran bprabhak@nsf.gov 703-292-4847   
Robert  A. Scheidt rscheidt@nsf.gov 703-292-2477   
Aleksandr  L. Simonian asimonia@nsf.gov (703) 292-2191   
Usha  Varshney uvarshne@nsf.gov (703) 292-8339   
Albert  Z. Wang awang@nsf.gov (703) 292-7230   
Huixia  Wang huiwang@nsf.gov (703) 292-2279   


PROGRAM GUIDELINES

Solicitation  20-556

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity.


DUE DATES

Full Proposal Deadline Date

    June 8, 2020


SYNOPSIS

The National Science Foundation (NSF) through its Divisions of Electrical, Communications and Cyber Systems (ECCS); Chemical, Bioengineering, Environmental and Transport Systems (CBET); Civil, Mechanical and Manufacturing Innovation (CMMI); Information and Intelligent Systems (IIS); and Mathematical Sciences (DMS) announces a solicitation on Multimodal Sensor Systems for Precision Health enabled by Data Harnessing, Artificial Intelligence (AI), and Learning. Next-generation multimodal sensor systems for precision health integrated with AI, machine learning (ML), and mathematical and statistical (MS) methods for learning can be envisioned for harnessing a large volume of diverse data in real time with high accuracy, sensitivity and selectivity, and for building predictive models to enable more precise diagnosis and individualized treatments. It is expected that these multimodal sensor systems will have the potential to identify with high confidence combinations of biomarkers, including kinematic and kinetic indicators associated with specific disease and disability. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts, innovative methodologies, theory, algorithms, and enabling technologies that will address the fundamental scientific issues and technological challenges associated with precision health.


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)

Map of Recent Awards Made Through This Program