Directorate for Computer & Information Science & Engineering
Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)
Please note that the deadline for this solicitation (17-534) has been reset in order to accommodate “HDR Workshop” proposals under the Harnessing the Data Revolution for 21st Century Science and Engineering (HDR) section of the NSF 17-065 Dear Colleague Letter (DCL): Growing Convergence Research at NSF.
The 17-534 solicitation should be used to submit these HDR Workshop proposals related to the 17-065 DCL and should be submitted by May 15, 2017. HDR Workshop proposal submitted after May 15, 2017 will be Returned without Review.
Regular BIGDATA proposals should NOT be submitted at this time. They will be returned without review.
|Chaitanya Barufirstname.lastname@example.org||(703) 292-4541|
|Reed S. Beamanemail@example.com||(703) 292-7163|
|John C. Cherniavskyfirstname.lastname@example.org||(703) 292-5136|
|Almadena Y. Chtchelkanovaemail@example.com||(703) 292-8910|
|David Cormanfirstname.lastname@example.org||(703) 292-8754|
|James C. Frenchemail@example.com||(703) 292-8930|
|Jun (Luke) Huanfirstname.lastname@example.org||(703) 292-8930|
|Sara Kiesleremail@example.com||(703) 292-8643|
|Bogdan Mihailafirstname.lastname@example.org||(703) 292-8235|
|Rahul T. Shahemail@example.com||(703) 292-2709|
|Ralph Wachterfirstname.lastname@example.org||(703) 292-8950|
|Chengshan Xiaoemail@example.com||(703) 292-4753|
|Maria Zemankovafirstname.lastname@example.org||(703) 292-7348|
|Aidong Zhangemail@example.com||(703) 292-5311|
|Nan Zhangfirstname.lastname@example.org||(703) 292-8930|
General Correspondence email
For general correspondence, please reply to email@example.com.
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 17-1), is effective for proposals submitted, or due, on or after January 30, 2017. Please be advised that, depending on the specified due date, the guidelines contained in NSF 17-1 may apply to proposals submitted in response to this funding opportunity.
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:
- 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
- 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.
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:
- For the development of robust and shared data-centric cyberinfrastructure capabilities, applicants should consider the Data Infrastructure Building Blocks (DIBBs) program, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504776;
- 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, http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504813;
- 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, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505348;
- 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, https://www.nsf.gov/geo/earthcube/;
- 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 https://www.nsf.gov/funding/programs.jsp?org=DMS; and
- 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:
- Computer and Network Systems (CNS) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=12765&ods_key=nsf16579;
- Computing and Communication Foundations (CCF) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=503220&ods_key=nsf16578; and
- Information and Intelligent Systems (IIS) Core Programs: https://nsf.gov/publications/pub_summ.jsp?WT.z_pims_id=13707&ods_key=nsf16581.