Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering
The summary for the Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering grant is detailed below.
This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants.
Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact.
If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering: The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science. The solicitation invites two categories of proposals: <ul> <li>Foundations (F): those developing or studying fundamental theories, techniques, methodologies, and technologies of broad applicability to big data problems, motivated by specific data challenges and requirements; and</li> <li>Innovative Applications (IA): those engaged in translational activities that employ new big data techniques, methodologies, and technologies to address and solve problems in specific application domains. Projects in this category must be collaborative, involving researchers from domain disciplines and one or more methodological disciplines, e.g., computer science, statistics, mathematics, simulation and modeling, etc.</li> </ul> Proposals in both categories must include a clear description of the big data aspect(s) that have motivated the proposed approach(es), for example: the scalability of methods with increasing data volumes, rates, heterogeneity; or data quality and data bias; etc. Innovative Applications proposals must provide clear examples of the impacts of the big data techniques, technologies and/or methodologies on (a) specific domain application(s). Proposals in all areas of sciences and engineering covered by participating NSF directorates and partnering agencies [the Office of Financial Research (OFR)], are welcome. Before preparing a proposal in response to this BIGDATA solicitation, applicants are strongly urged to review other related programs and solicitations and contact the respective NSF program officers listed in them should those solicitations be more appropriate. In particular: <ul> <li>For the development of robust and shared data-centric cyberinfrastructure capabilities, applicants should consider the Data Infrastructure Building Blocks (DIBBs) program, <a href="https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776">https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776</a>;</li> <li>For computational and data science research not specifically addressing big data issues, applicants should consider the Computational and Data Enabled Science and Engineering (CDS&E) program, <a href="http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813" target="_blank"><span style="text-decoration: underline;">http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813</span></a>;</li> <li>For work that is focused more on scaling of software, rather than data-related issues, applicants should consider the Scalable Parallelism in the Extreme (SPX) program, <a href="https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505348">https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505348</a>;</li> <li>Proposals that are specific to the geosciences, and respond to the community needs and requirements expressed by the geosciences community, should consider the NSF EarthCube program for Developing a Community-Driven Data and Knowledge Environment for the Geosciences, <a href="https://www.nsf.gov/geo/earthcube/">https://www.nsf.gov/geo/earthcube/;</a></li> <li>Proposals that focus on research in mathematics or statistics that is not tied to a specific big data problem should be submitted to the appropriate program within the MPS Division of Mathematical Sciences (DMS); see a list of DMS programs at <a href="https://www.nsf.gov/funding/programs.jsp?org=DMS">https://www.nsf.gov/funding/programs.jsp?org=DMS</a>; and</li> <li>Proposals that focus on research in the computer and information sciences not tied to a specific big data problem should be submitted to the appropriate CISE core program: <ul> <li>Computer and Network Systems (CNS) Core Programs: <a href="https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=12765&ods_key=nsf16579" target="_blank">https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=12765&ods_key=nsf16579;</a></li> </ul> <ul> <li>Computing and Communication Foundations (CCF) Core Programs: <a href="https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=503220&ods_key=nsf16578" target="_blank">https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=503220&ods_key=nsf16578</a>; and</li> <li>Information and Intelligent Systems (IIS) Core Programs:<a href="https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=13707&ods_key=nsf16581" target="_blank">https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=13707&ods_key=nsf16581.</a></li> </ul> </li> </ul>
Federal Grant Title: | Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 17-534 |
Type of Funding: | Grant |
CFDA Numbers: | 47.041, 47.049, 47.070, 47.074, 47.075, 47.076 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | March 22nd, 2017 |
Original Application Deadline: | March 22nd, 2017 |
Posted Date: | December 23rd, 2016 |
Creation Date: | December 23rd, 2016 |
Archive Date: | April 21st, 2017 |
Total Program Funding: | $26,500,000 |
Maximum Federal Grant Award: | $2,000,000 |
Minimum Federal Grant Award: | $400,000 |
Expected Number of Awards: | 35 |
Cost Sharing or Matching: | No |
Last Updated: | December 23rd, 2016 |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Link to Full Grant Announcement
- NSF Publication 17-534
- Grant Announcement Contact
- NSF grants.gov support
[email protected]
If you have any problems linking to this funding announcement, please contact - Similar Government Grants
- • National Science Foundation Research Traineeship Institutional Partnership Pilot (NRT-IPP...
- • NSF Regional Innovation Engines
- • Cyberinfrastructure for Public Access and Open Science
- • IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments
- • Global Centers
- • Integrative Hybrid and Complex Systems (IHCS)
- • Geomechanics & Geotechnical Systems (GGS)
- • Materials Use: Science, Engineering, and Society (MUSES)
- More Grants from the National Science Foundation
- • National Science Foundation Research Traineeship Institutional Partnership Pilot (NRT-IPP...
- • NSF Regional Innovation Engines
- • Cyberinfrastructure for Public Access and Open Science
- • Probability