Funding Opportunities

Ford Alliance Grants×

Ohio State researchers are invited to submit proposals for funded collaborations involving researchers from the Ford Motor Company. Based on one-page idea descriptions, interested faculty will be connected with counterparts at Ford to develop a full proposal.

Ford’s Topics of Interest for University Collaboration

Key Dates:

  • Initial ideas one-pagers due May 31
  • Proposals five-pager following Ford template due June 8
  • Proposals refined through August 1
  • Work begins first quarter of CY 2018

Process for Submissions:

  1. Eligible OSU PIs with ideas should contact Eddie Pauline in Ohio State’s Corporate Engagement Office. Multiple submissions are welcome, as is participation in more than one project at a time. Note: PI must be a full-time Ohio State professor or researcher (not student or post doc). Involvement of individuals who are not Ohio State employees or students is prohibited without written permission from Ford.
  2. After consulting with Eddie, faculty submits idea(s) at go.osu.edu/fordideas (name.# log-in required).
  3. The Corporate Engagement Office works with Ford to connect faculty with Ford counterparts.
  4. Ohio State and Ford PIs collaboratively develop proposal and obtain Ohio State budget approval from Shane Paul.
  5. Ford PI sends draft to Lori Herman at Ford for feedback.
  6. Ford’s University Relations team makes final decisions regarding proposal approval and funding.
FY17 Supplemental Funding to Improve Graduate Student Preparedness×

Funder: NSF

Dear Colleague Letter number: NSF 16-067

A variety of NSF Directorates/Offices are offering supplemental funding opportunities in FY16 and FY17 to improve graduate student preparedness for entering the workforce. NSF will consider support for supplements to existing research awards to enhance professional development opportunities for science and engineering doctoral student as described by each participating Directorate/Office. Interested investigators should contact the cognizant program officers listed on the opportunities.

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Deadlines for FY17: 

  • Office of Integrative Activities: May 31
  • Directorate for Social, Behavioral and Economic Sciences: June 1
  • Directorate for Biological Sciences: April 3
  • Directorate for Computer and Information Science and Engineering: April 15
  • Directorate for Education and Human Resources: April 1
  • Directorate for Engineering: May 20
  • Directorate for Geosciences: May 1
Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)×

Funder: NSF

Program Guidelines: NSF 17-534

Full Proposal Deadline: June 1

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 scienceThe solicitation invites two categories of proposals: Foundations and Innovative Applications.

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Modeling of Infectious Disease Agent Study Research Projects (R01)×

Funder: NIH

Funding Opportunity Number: PAR-17-267

Deadlines: June 5, October 5

The purpose of this funding opportunity announcement (FOA) is to support innovative research that will develop and apply computational tools and methods for modeling interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models should be useful to researchers, policymakers, or public health workers who want to better understand and respond to infectious diseases. This research opportunity encourages applications from institutions/organizations that propose to provide the scientific and public health communities better resources, knowledge, and tools to improve their ability to prepare for, identify, detect, control, and prevent the spread of infectious diseases caused by naturally occurring or intentionally released pathogens, including those relevant to biodefense.

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Application of Big Data Analytics to Drug Abuse Research (R01)×

Funder: NIH

Funding opportunity number: PA-16-119

Deadlines for new applications: June 5, October 5

Applicants develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction.

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TDA Co-Sponsorships×

Funder: TDAI

Annual deadlines: August 31, January 31

TDAI has allocated a limited amount of funding annually for internal sponsorship. “Internal sponsorship” means support provided to Ohio State student organizations, departments, colleges, centers, and service units for events that align with TDAI’s mission and goals of  advancing the data analytics community of Ohio State.

Events must be transdisciplinary in nature and take place on Ohio State’s campus. Examples of events that might be co-sponsored include conferences and symposia, data workshops for faculty, or data-focused technical challenges for students. Co-sponsorship will not include support for primary research.

Applicants should review the Sponsorship Guidelines prior to completing a formal application. Requests will be considered for events taking place within one year of application. Applications are due biannually on Jan. 31 and Aug. 31 and should be emailed directly to tda@osu.edu.

Review guidelines

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Computational and Data-Enabled Science and Engineering×

Funder: NSF

Funding opportunity number: PD 12-8084

Annual deadlines: September – December; vary by Division

The Computational and Data-Enabled Science and Engineering (CDS&E) program includes all Divisions within the Directorate for Mathematical and Physical Sciences (MPS) and the Directorate for Engineering (ENG), as well as the Division of Advanced Cyberinfrastructure (ACI) in the Directorate for Computer and Information Science and Engineering (CISE). The goal of the program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. The intellectual drivers may be in an individual discipline or they may cut across more than one discipline in various Directorates.

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Big Data to Knowledge Community-based Data and Metadata Standards Efforts (R24)×

Funder: NIH

Funding opportunity number: RFA-ES-16-010

Deadline: October 19

This Funding Opportunity Announcement is to provide time-limited, catalytic support for activities necessary to develop or extend/refine data and metadata standards and/or related tools in areas relevant to the NIH basic, translational, and clinical research mission. Projects can support activities at any point in the data standards lifecycle and should build on existing partnerships, infrastructure, and resources whenever possible.

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Know of a funding opportunity that would interest TDA-affiliated faculty? Email TDA with the information.

Applying for a grant that includes a graduate student stipend? The Graduate School may provide matching tuition and fee support. More