The National Science Foundation (NSF) and the Japan Science and Technology Agency (JST) have launched a collaborative grant program focusing on leveraging Big Data to revolutionize disaster management. This grant is aimed at addressing challenges such as analyzing complex data, facilitating timely decision-making during disasters, and enhancing the resilience of computer systems and networks. The grant seeks to improve disaster modeling, situational analysis, response modeling, and real-time data sensing for effective decision-making. Proposals should include joint research with Japanese counterparts. The closing date for submissions is Sep 08, 2014 12:00:00 AM EDT.
Opportunity ID: 257010
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 14-575 |
| Funding Opportunity Title: | US-Japan Big Data and Disaster Research |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 8 |
| Assistance Listings: | 47.070 — Computer and Information Science and Engineering |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jun 09, 2014 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Sep 08, 2014 Full Proposal Deadline(s): September 08, 2014 |
| Current Closing Date for Applications: | Sep 08, 2014 Full Proposal Deadline(s): September 08, 2014 |
| Archive Date: | Oct 08, 2014 |
| Estimated Total Program Funding: | $2,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | *Who May Submit Proposals: Proposals may only be submitted by the following: -Universities and Colleges – Universities and two- and four-year colleges (including community colleges) accredited in, and having a campus located in, the US acting on behalf of their faculty members. Such organizations also are referred to as academic institutions. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The US National Science Foundation (NSF) and the Japan Science and Technology Agency (JST) are embarking upon a collaborative research program to address compelling research challenges that arise from leveraging Big Data approaches to transform, at both human and societal scales, disaster management. Several recent reports have documented how transformative improvements in disaster management will require systems approaches to analyze large, noisy, and heterogeneous data and facilitate timely decision making in the face of shifting demands (Computing for Disasters, http://www.cra.org/ccc/files/docs/init/computingfordisasters.pdf; Big Data and Disaster Management, https://grait-dm.gatech.edu/wp-content/uploads/2014/03/BigDataAndDisaster-v34.pdf). Specifically, disaster events and responses result in non-linear behaviors, and there exist large and unique interdependences among variables, multiple concurrent temporal and spatial scales, and few single optimal solutions. The resultant complexity causes algorithmic and data complexity, as well as challenges that arise in modeling chaotic systems. Other sources of complexity include the need for maintaining data security and privacy, as well as the resilience of the underlying computing and communications infrastructure during and following a disaster event. At the same time, rapid advances in technology are enabling new opportunities for addressing disaster management. For example, new computer systems and networks – namely smartphones, tablets, and other types of edge devices; embedded and hybrid systems spanning automobiles, aircraft, chemical processing plants, and electrical power grids, etc.; sensor networks; and next-generation networking technologies spanning wireless, mobile, and cellular networks – are giving rise to potentially powerful data streams requiring novel analytics capabilities to facilitate timely and effective actions, as well as open questions about the resilience of these systems in the face of disasters. This joint NSF/JST solicitation aims to address two specific challenges in the context of leveraging technological advances and using Big Data approaches to support effective disaster management: Capturing and processing the data associated with disasters to advance capabilities for disaster modeling as well as situational analysis and response modeling; and Improving the resilience and responsiveness of emerging computer systems and networks to facilitate the real-time data sensing, visualization, analysis, experimentation and prediction that is critical for time-sensitive decision making. This NSF solicitation parallels an equivalent JST solicitation (available at http://www.jst.go.jp/sicp/announce_usjoint_bdd.html). Proposals submitted under this solicitation must describe joint research with Japanese counterparts who are requesting funding separately under the JST solicitation. |
| Link to Additional Information: | NSF Publication 14-575 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 47.070 | PKG00198484 | Jun 09, 2014 | Sep 08, 2014 | View |
Package 1
Mandatory forms
257010 RR_SF424_1_2-1.2.pdf
257010 PerformanceSite_1_4-1.4.pdf
257010 RR_OtherProjectInfo_1_3-1.3.pdf
257010 RR_KeyPersonExpanded_1_2-1.2.pdf
257010 RR_PersonalData_1_2-1.2.pdf
257010 RR_Budget-1.1.pdf
257010 NSF_CoverPage_1_3-1.3.pdf
Optional forms
257010 RR_SubawardBudget-1.2.pdf
257010 NSF_DeviationAuthorization-1.1.pdf
257010 NSF_SuggestedReviewers-1.1.pdf
257010 NSF_Registration_1_3-1.3.pdf
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