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 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, geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science. The solicitation invites two types of proposals: "Foundations" (F): those developing or studying fundamental theories, techniques, methodologies, and technologies of broad applicability to big data problems; and "Innovative Applications" (IA): those developing techniques, methodologies, and technologiesof key importance to a Big Data problem directly impacting at least one specific application. 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. While IA proposals may address critical big data challenges within a specific domain,a high level of innovation is expected in all proposals which should, in general, strive to provide solutions withpotential for a broader impact on data science and its applications. IA proposals may focus on novel theoretical analysis and/or on experimental evaluation of techniques and methodologies within a specific domain. Proposals in all areas of sciences and engineering covered by participating directorates at NSF are welcome.

While notions of volume, velocity, and variety are commonly ascribed to big data problems, other key issues include data quality and provenance. Data-driven solutions must carefully ascribe quality and provenance to results in a manner that is helpful to the users of the results. For example, in some cases, such as in education research,data quality may aggregate to test or measurement instrument quality, where a composite of variables may be used to describe one or more constructs.

In addition to approaches such as search, query processing, and analysis, visualization techniques will also become criticalacross many stages of big data use--toobtain an initial assessment of data as well as through subsequent stages of scientific discovery. Research on visualization techniques and models will be necessary for serving not only the experts, who are collecting the data, but also those who are users of the data, including “cross-over” scientists who may be working with big data and analytics for the first time, and those using the data for teaching at the undergraduate and graduate levels. The BIGDATA program seeks novel approaches related to all of these areas of study.

Before preparing a proposal in response to this BIGDATA solicitation, applicants are strongly urged to consult other related programs and solicitationsand review the respective NSF program officers listed in them should those solicitations be more appropriate. In particular, applicants interested in deployable cyberinfrastructure pilots that would support a broader research community should see the Campus Cyberinfrastructure - Data, Networking, and Innovation Program (CC*DNI) program (<a href=";org=ACI&amp;from=home">;org=ACI&amp;from=home</a>). Applicants should also consider the Computational and Data Enabled Science and Engineering (CDS&amp;E) program(<a href=""></a>) for work not specifically addressing big data issues, and the Exploiting Parallelism and Scalability (XPS) program (<a href=""></a>)for work focused on scaling of software.
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
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: 16-512
Type of Funding: Grant
CFDA Numbers: 47.041, 47.049, 47.050, 47.070, 47.074, 47.075, 47.076
CFDA Descriptions: Engineering Grants; Mathematical and Physical Sciences; Geosciences; Computer and Information Science and Engineering; Biological Sciences; Social, Behavioral, and Economic Sciences; Education and Human Resources
Current Application Deadline: Feb 9, 2016
Original Application Deadline: Feb 9, 2016
Posted Date: Nov 10, 2015
Creation Date: Nov 10, 2015
Archive Date: Mar 10, 2016
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
Applicants Eligible for this Grant
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
Link to Full Grant Announcement
NSF Publication 16-512
Grant Announcement Contact
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