Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS)

Monday, June 26, 2017

Program Solicitation
NSF 17-569

Summary of Program Requirements

Program Title:

Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS)

Synopsis of Program:

The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones.

Submission Window Date(s) (due by 5 p.m. submitter's local time):

     September 01, 2017 - September 18, 2017

     September 1 - September 18, Annually Thereafter

Award Information

Anticipated Type of Award:

Standard Grant or Continuing Grant or R01 project (if the proposal is selected to be funded by NIGMS).

Estimated Number of Awards: 12 to 20

Approximately 12 to 20 awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee. The number of awards will depend on the quality of received proposals and budget availability.

Anticipated Funding Amount: $5,000,000

Up to $5,000,000 per year for new applications (up to $2,000,000 from NSF and up to $3,000,000 from NIGMS), subject to availability of funds and receipt of proposals of adequate quality. Award sizes are expected to range from $100,000 to $400,000 (total costs) per year with durations of 3-5 years.

Eligibility Information

Who May Submit Proposals:

None Specified

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI:

There are no restrictions or limits.


Full Program Solicitation can be found here:

Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)

Friday, January 6, 2017

Program Solicitation

NSF 17-534

Submission Window Date(s) (due by 5 p.m. submitter's local time):

March 15, 2017 - March 22, 2017

Synopsis of Program

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.

Award Information

Anticipated Type of Award: Standard Grant or Continuing Grant or Cooperative Agreement

Estimated Number of Awards: 27 to 35

About 27-35 projects will be funded, subject to availability of funds.

Anticipated Funding Amount: $26,500,000

Up to $26,500,000 will be invested by NSF and the Office of Financial Research (OFR), in proposals submitted to this solicitation, subject to the availability of funds. Up to $9,000,000 will be invested by Amazon Web Services (AWS), Google, and Microsoft (up to $3,000,000 each) in the form of cloud credits/resources.

Projects will typically receive NSF funding in the range of $200,000 to a maximum of $500,000 per year, for 3 to 4 years of support. The minimum award size will be $600,000 of total NSF/OFR funding, reflecting the minimum expected level of effort for BIGDATA projects, which are expected to be multidisciplinary in nature and include significant student involvement. Any allocation of cloud credits/resources from AWS, Google or Microsoft will be in addition to the NSF/OFR funding.

Eligibility Information

Who May Submit Proposals:

The categories of proposers eligible to submit proposals to the National Science Foundation are identified in the Grant Proposal Guide, Chapter I, Section E.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI: 1

An individual may participate as PI, co-PI, Senior Personnel, consultant, or any other role in no more than one proposal, or related subaward, submitted in response to this solicitation.

In the event that an individual exceeds this limit, any proposal submitted to this solicitation with this individual listed as a PI, co-PI, senior personnel, consultant or any other role after the first proposal is received at NSF will be returned without review. No exceptions will be made.

Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF.

Proposal Preparation and Submission Instructions

A. Proposal Preparation Instructions:

  • Letters of Intent: Not required
  • Preliminary Proposal Submission: Not required
  • Full Proposals:

    • Full Proposals submitted via FastLane: NSF Proposal and Award Policies and Procedures Guide, Part I: Grant Proposal Guide (GPG) Guidelines apply. The complete text of the GPG is available electronically on the NSF website at:
    • Full Proposals submitted via NSF Application Guide: A Guide for the Preparation and Submission of NSF Applications via Guidelines apply (Note: The NSF Application Guide is available on the website and on the NSF website at:

B. Budgetary Information

  • Cost Sharing Requirements:

    Inclusion of voluntary committed cost sharing is prohibited.

  • Indirect Cost (F&A) Limitations:

    Not Applicable

  • Other Budgetary Limitations:

    Not Applicable

C. Due Dates

  • Submission Window Date(s) (due by 5 p.m. submitter's local time):

         March 15, 2017 - March 22, 2017


Amazon Web Services (AWS), Google, and Microsoft are now participating in the solicitation by providing cloud credits/resources to qualifying projects. The solicitation provides details regarding the participation of these companies, and the use of their cloud resources.

The National STEM Report Released

Thursday, November 19, 2015

The ACT has released its 2015 National STEM Report this week, which assesses levels of achievement and levels of interest in STEM among college-ready high school students. STEM is Science, Computer Science and Mathematics, Medical and Health, and Engineering and Technology. The report found that about half of US high school graduates have expressed interest in STEM majors and careers. Other key findings include:

  1. Interest in STEM remains high
  2. Students with STEM interest that is both expressed and measured outperformed their peers
  3. For the first time, students are measured against the ACT STEM College Readiness Benchmark
  4. Interest in teaching STEM subject areas continues to lag

This report shows achievement levels in each area of STEM on the national level, as well as the actual number and percentage of students interested in specific majors and occupations.

View the report here or by clicking the image below:

Transdisciplinary Research in Principles of Data Science (TRIPODS) Webinar

Event date(s): Tuesday, November 15, 2016

November 15, 2016 2:30 - 3:30 PM

Save the Date

Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities.  Phase I, described in this solicitation, will support the development of small collaborative Institutes.  Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process.  All TRIPODS Institutes must involve significant and integral participation by all three of the aforementioned communities.

This webinar will cover the solicitation and submission requirements.  There will be a question and answer session following the discussion.

To Join the Webinar:

Please register at:

by 11:59pm EST on Monday November 15, 2016.

Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, you will have a toll-free phone number that you will be prompted to call after joining. If you are international, please email kgeary [at] nsf [dot] gov to obtain the appropriate dial in number.  In the event the number of requests exceeds the capacity, some requests may have to be denied.  The presentation, audio and transcript will be available after the webinar on this webpage.

Meeting Type

Nandini Kannan, (703) 292-8104, nakannan [at] nsf [dot] gov

NSF Related Organizations
Division of Mathematical Sciences