Skip to Content

FUNDING > Critical Techniques,...

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 Baru, (703) 292-4541

Sylvia Spengler, (703)292-8930

Reed S. Beaman, (703) 292-7163

John C. Cherniavsky, (703) 292-5136

Almadena Y. Chtchelkanova, (703) 292-8910

David Corman, (703) 292-8754

James C. French, (703) 292-8930

Jun (Luke) Huan, (703) 292-8930

Nandini Kannan, (703)292-8104

Sara Kiesler, (703) 292-8643

Bogdan Mihaila, (703) 292-8235

Rahul T. Shah, (703) 292-2709

Ralph Wachter, (703) 292-8950

Chengshan Xiao, (703) 292-4753

Maria Zemankova, (703) 292-7348

Aidong Zhang, (703) 292-5311

Nan Zhang, (703) 292-8930

General Correspondence email

For general correspondence, please reply to

Solicitation 17-534

Important Information for Proposers

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:

Frequently Asked Questions (FAQS) for NSF 12-499
1st BIGDATA Webinar (Presentation, Audio File and Transcript)
2nd BIGDATA Webinar - May 21, 2012 (Presentation, Audio File and Transcript)

Additional Funding Opportunities for the CCF Community
Additional Funding Opportunities for the CNS Community
Additional Funding Opportunities for the IIS Community
Other Special Research Programs Available to DMS Communities

What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)


Funding Home