Funding Opportunities

Statistics×

Funder: National Science Foundation

Program guidelines: PD 18-1269

Full proposal window: Dec. 1-17

The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from from single-investigator projects to interdisciplinary team projects.

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

Funder: National Science Foundation

Program guidelines: 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.

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

Funder: National Science Foundation

Program guidelines: 18-533

Letter of intent deadlines: Jan. 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.

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Dear Colleague Letter: EArly-concept Grants for Exploratory Research on Artificial Intelligence (AI) and Society - Supported Jointly with the Partnership on AI×

Funder: National Science Foundation

Program guidelines: NSF 19-018

Deadline for one-page prospectus (required before submitting a proposal): Jan. 9, 2019

Proposal deadline: Jan. 28, 2019, though earlier submissions are encouraged

The National Science Foundation’s Directorates for Computer and Information Science and Engineering and Social, Behavioral and Economic Sciences together with the Partnership on AI (PAI) wish to notify the community of their interest in supporting EArly-concept Grants for Exploratory Research (EAGERs) to understand the social challenges arising from AI technology and enable scientific contributions to overcome them….

NSF and PAI will jointly support high-risk, high-reward research at the intersection of the social and technical dimensions of AI. Priority will be given to collaborative projects that integrate computer/computational science with the social, behavioral, and economic sciences. Proposals may expand understanding of the influences of AI on people and society or contribute technical innovations that overcome the emerging social challenges.

Topics include, but are not limited to:

  • Safety, robustness, and accountability of AI systems;
  • Bias and fairness of AI systems;
  • Intelligibility, explanation, and transparency of AI inferences;
  • Privacy challenges with AI development and use;
  • Sociotechnical challenges involving ethical considerations;
  • Economic impacts of AI on society; and
  • Social consequences of AI system deployments.

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Enabling Discovery through GEnomic Tools (EDGE)×

Funder: National Science Foundation

Program guidelines: NSF 19-527 (replaces document NSF 18-506)

Full proposal deadline: Feb. 12, 2019, by 5 p.m. submitter’s local time

Enabling Discovery through Genomic Tools (EDGE) is designed to provide support for development of tools, approaches and infrastructure necessary for direct tests of cause and effect hypotheses between gene function and phenotypes in diverse plants, animals, microbes, viruses and fungi for which these methods are presently unavailable.

The revised EDGE solicitation introduces two tracks for submission, the COMPREHENSIVE TRACK for proposals aimed at developing tools, approaches and infrastructure to directly test gene function and the TARGETED TRACK aimed at overcoming a particular block to transformation or husbandry and sufficient production of biological materials necessary to test gene function on demand.

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Algorithms for Threat Detection (ATD)×

Funder: NSF

Program solicitation: 19-504

Full proposal deadline: Feb. 19

The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).

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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

TDAI Co-Sponsorships×

Funder: TDAI

The Translational Data Analytics Institute provides support annually to assist Ohio State units, faculty, and students with sponsorship of Ohio State-led events (internal). Information about 2019-20 funding opportunities will be made available in summer 2019.

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