Funding Opportunities

Methodology, Measurement, and Statistics×

Funder: National Science Foundation

Funding opportunity number: NSF 14-574

Full proposal deadline date: August 30

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the NSF’s Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative, analytical, and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social and behavioral sciences.  As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the development of new and innovative approaches to surveys and to the analysis of survey data.


2018 NASA iTech Cycle 3×

Funder: NASA

Deadline for 5-page white papers: August 31

A new cycle of the NASA iTech initiative is now open with a call for technical solutions to fill gaps in areas identified as having a critical impact on future space exploration.

The request for a five-page white paper is the first phase of 2018 NASA iTech Cycle III, part of a collaborative initiative to find and foster innovative solutions from small and large businesses, universities, non-profits, U.S. government organizations outside of NASA and undiscovered inventors. Inventors and entrepreneurs can enter 2018 NASA iTech Cycle III through August 31.

Top finalists for Cycle 3 will be provided per diem and lodging expenses to present their innovative ideas in person to NASA and other space industry leaders and potential investors during the Cycle 3 NASA iTech Forum which is planned for October 23-26.


TDAI Co-Sponsorships×

Funder: TDAI

Annual proposal deadlines: September 15, February 1

The Translational Data Analytics Institute provides support of up to $2,500 annually to assist Ohio State units, faculty, and students with sponsorship of Ohio State-led events (internal). Sponsorship must align with the mission and goals of TDAI in advancing the data analytics community of Ohio State.

Applications are due on Feb. 1 and Sept. 15 each year. Those selected for funding will be notified as soon as the review process has commenced, typically 4-6 weeks after the submission deadline. Requests will be considered for events taking place within one year of application.

Off-cycle requests will be considered. However, the amount of funding available annually is limited, and requests are considered during the dates above. Therefore, it is strongly encouraged that applicants plan in advance to submit by the deadlines noted above.

Applicants should review the Sponsorship Guidelines prior to completing a formal application.

Review guidelines

Download application

Computational and Data-Enabled Science and Engineering (CDS&E)×

Funder: National Science Foundation

Funding opportunity number: PD 12-8084

Annual proposal deadlines: September – December; vary by division

The Computational and Data-Enabled Science and Engineering program includes all divisions within the directorate for Mathematical and Physical Sciences and the directorate for Engineering, as well as the division of Advanced Cyberinfrastructure in the directorate for Computer and Information Science and Engineering. 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.


Dear Colleague Letter: Growing Convergence Research×

Funder: National Science Foundation

Funding opportunity number: NSF 18-058

Prospectus deadlines: October 15 for FY19

This Dear Colleague Letter seeks to identify potential future research areas that go beyond NSF’s Big Ideas, require a convergence approach, cross internal and/or external organizational and disciplinary boundaries, and advance the progress of science as articulated in NSF’s mission. NSF identifies Convergence Research as having two primary characteristics: research driven by a specific and compelling problem, and deep integration across disciplines. NSF encourages the submission of prospectuses to identify these new areas and specific projects within them. NSF may invite teams submitting the most promising prospectuses to submit proposals to further explore their research strategies. Prospectuses must outline novel approaches and research strategies that are likely to result in a clear demonstration of the potential for transformative advances.


Collaborative Research in Computational Neuroscience (CRCNS)×

Funder: National Science Foundation

Funding opportunity number: 18-501

Proposal deadline: November 27 for FY19

Through the CRCNS program, the NSF, the NIH, the German Federal Ministry of Education and Research, the French National Research Agency, the United States-Israel Binational Science Foundation, and Japan’s National Institute of Information and Communications Technology support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. Two classes of proposals will be considered in response to this solicitation:

  • Research Proposals describing collaborative research projects, and
  • Data Sharing Proposals to enable sharing of data and other resources.


Integrative Strategies for Understanding Neural and Cognitive Systems (NCS)×

Funder: National Science Foundation

Funding opportunity number: 18-533

Letter of intent deadlines: December 7, 2018, for FRONTIERS FY19 competition; January 8, 2019, for FOUNDATIONS FY19 competition

The complexities of brain and behavior pose fundamental questions in many areas of science and engineering, drawing intense interest across a broad spectrum of disciplinary perspectives while eluding explanation by any one of them. Rapid advances within and across disciplines are leading to an increasingly interwoven fabric of theories, models, empirical methods and findings, and educational approaches, opening new opportunities to understand complex aspects of neural and cognitive systems through integrative multidisciplinary approaches.

This program calls for innovative, convergent, boundary-crossing proposals that can best capture those opportunities and map out new research frontiers.



Smart and Autonomous Systems×

Funder: National Science Foundation

Funding opportunity number: 18-557

Proposal deadlines: June 3, 2019; June 1, 2020

The Smart and Autonomous Systems program focuses on Intelligent Physical Systems (IPS) that are capable of robust, long-term autonomy requiring minimal or no human operator intervention in the face of uncertain, unanticipated, and dynamically changing situations. IPS are systems that combine perception, cognition, communication, and actuation to operate in the physical world. Examples include, but are not limited to, robotic platforms, self-driving vehicles, underwater exploration vehicles, and smart grids. More

No results were found.

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

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