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The National Science Foundation’s Sensors and Sensing Systems (SSS) grant program supports fundamental research on sensors and sensing systems, including new sensing modalities, data analysis theories, and innovative data transmission methods. It focuses on nonlinear prediction, filtering, and estimation within sensing systems. The program does not fund sensor development projects but encourages proposals with fundamental research topics enabled by sensor advancements. Projects related to biosensing and biomedical sensors should consider submitting to specific programs within the NSF divisions. Deadline for submission varies.
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Opportunity ID: 213593
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General Information
| Document Type:: | Grants Notice |
| Funding Opportunity Number:: | PD-13-1639 |
| Funding Opportunity Title:: | Sensors and Sensing Systems |
| Opportunity Category:: | Discretionary |
| Opportunity Category Explanation:: | |
| Funding Instrument Type:: | |
| Category of Funding Activity:: | Science and Technology and other Research and Development |
| Category Explanation:: | |
| Expected Number of Awards:: | 0 |
| Assistance Listings Number(s):: | 47.041 — Engineering Grants |
| Cost Sharing or Matching Requirement:: | No |
| Version:: | Synopsis 7 |
| Posted Date:: | Jan 03, 2013 |
| Last Updated Date:: | Jun 23, 2014 |
| Original Closing Date for Applications:: | Feb 15, 2013 |
| Current Closing Date for Applications:: | |
| Archive Date:: | Jun 23, 2014 |
| Estimated Total Program Funding:: | $ 0 |
| Award Ceiling:: | $ |
| Award Floor:: | $ |
Eligibility
| 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:: |
Additional Information
| Agency Name:: | National Science Foundation |
| Description:: | The Sensors and Sensing System (SSS) program funds fundamental research on sensors and sensing systems. Such fundamental research includes the discovery and characterization of new sensing modalities, fundamental theories for aggregation and analysis of sensed data, fundamentally new approaches for data transmission, and approaches for addressing uncertain and/or partial sensor data. Innovative research in nonlinear prediction, filtering and estimation in the context of sensing systems is also considered in this program. The program does not fund developmental projects, such as sensor development or applications studies. Proposals offering fundamental research topics that are enabled by sensor development or sensor system development should be submitted to the relevant CMMI program in which the fundamental research contribution is being made. In such a case, the SSS program should be listed as a secondary program. Proposals that do not address CMMI relevant research should be submitted to programs in the appropriate division within NSF. Depending on the research objective of the work proposed, PIs submitting proposals in the areas of biosensing and biomedical sensors should consider sending their proposals to the Biosensing, Biophotonics or Biomedical Engineering program in the Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET), and also for areas of biosensing, sensors and actuators they should consider the Electronics, Photonics, and Magnetic Devices (EPMD) or the Communications, Circuits, and Sensing-systems (CCSS) program of the division of Electrical, Communications and Cyber Systems (ECCS). |
| Link to Additional Information:: | |
| Grantor Contact Information:: | If you have difficulty accessing the full announcement electronically, please contact: |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| Synopsis 7 | Opportunity PD-13-1639 has been archived. | Jun 23, 2014 |
| Synopsis 6 | Updated the archive date and close date | |
| Synopsis 5 | Updated deadline date. | |
| Synopsis 4 | updated closing date–rc; | |
| Synopsis 3 | updated due date | |
| Synopsis 2 | modified archive date | |
| Synopsis 1 |
Package Status
Package No: 1
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