Funding Opportunities

Computational and Data-Enabled Science and Engineering×

Funder: National Science Foundation

Funding opportunity: PD-12-8084

Proposals due: Dec. 5

The goal of the CDS&E 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 NSF directorates. The key identifying factor is that the outcome relies on the development, adaptation and utilization of one or more of the capabilities offered by advancement of both research and infrastructure in computation and data, either through cross-cutting or disciplinary programs. 


AWS Machine Learning Research Awards×

Funding: Amazon Web Services

Proposal deadline: Dec. 8

Amazon Web Services is calling for proposals for its Machine Learning Research Awards. The types of projects that are eligible: development of open-source tools and research that benefit the ML community at large; and impactful research that uses any of the following: Amazon SageMakerAmazon SageMaker Ground TruthAmazon SageMaker NeoApache MXNet on AWS, and AWS AI Services. MLRA may provide unrestricted cash funds, AWS Promotional Credit, and training resources, including tutorials on how to run ML on AWS and hands-on sessions with Amazon scientists and engineers.


Smart and Connected Health ×

Funders: National Science Foundation / National Institutes of Health

Funding opportunity: NSF 18-541

Proposals due: Dec. 11

An NSF/NIH solicitation that seeks to support the development of technologies, analytics and models supporting next generation health and medical research through high-risk, high-reward advances in computer and information science, engineering and technology, behavior, and cognition.


InFACT Linkage and Leverage RFP×

Funder: OSU’s Initiative for Food and AgriCultural Transformation

Proposal deadline: Dec. 19

The Initiative for Food and AgriCultural Transformation (InFACT) is accepting proposals for its Linkage and Leverage seed grant program. Teams of faculty, staff, students, and external partners may apply. There will be two other funding cycles in FY20: winter deadline will be Feb. 14, spring deadline will be April 24.


Privacy Preserving Technologies ×

Funder: Facebook

Proposal deadline: Dec. 20

Facebook invites university faculty to submit research proposals pertaining to:

  • Technologies to support people’s privacy rights (access, deletion, portability, and so on)
  • Privacy preserving analytics and machine learning
  • Data anonymization and quantification of privacy leaks
  • Private, high-integrity, client-side services (end-to-end encryption, blockchains, and so on)
  • Privacy-by-design methodologies, technologies, toolkits, and frameworks
  • Encrypted data processing
  • Techniques to proactively discover and surface privacy violations in complex applications
  • Application auditing methodologies to assure transparency, privacy, and compliance

The company is interested both in theoretical, foundational work and in work focused on specific real-world problems. It anticipates awarding five research awards in the $50,000 – $100,000 range. Winners will also be invited to the 2020 Privacy Faculty Summit at Facebook’s headquarters and allowed to invite one PhD student to attend the summit. Air/travel and hotel expenses will be paid for and arranged by Facebook and are in addition to the research award.


Secondary Data Analysis to Examine Long-Term and/or Potential Cross-Over Effects of Prevention Interventions: What are the Benefits for Preventing Mental Health Disorders?×

Funder: National Institutes of Health

Funding opportunity: RFA-MH-20-110

Proposals due: Jan. 2, 2020

Encourages research to integrate/harmonize existing data sets from preventive intervention trials implemented early in life to: 1) examine risk and protective factors relevant to later mental health outcomes in childhood, adolescence and young adulthood; and 2) determine whether preventive interventions delivered earlier in life have long-term effects, and/or cross-over effects (e.g., unanticipated beneficial effects), on important mental health outcomes, including serious mental illness (e.g., depression, anxiety, suicide ideation and behaviors, psychosis behaviors).


Discovering Novel Targets: The Molecular Genetics of Drug Addiction and Related Co-Morbidities×

Funder: National Institutes of Health

Funding opportunity: PA-17-120

Proposals due: Jan. 7, 2020

Encourages applications for research projects that identify, validate and/or functionally characterize loci, genetic variations and haplotypes that are associated with vulnerability to addiction and that potentially inform the likelihood of responsiveness to treatment. Applications that propose to examine intermediate phenotypes or endophenotypes to assess the molecular genetics of drug addiction, addiction vulnerability and/or their associated co-morbidities and how they are related to drug addiction are especially encouraged. Also encouraged are genetic as well as computational and large-scale genomic approaches, which may include but are not limited to linkage, linkage disequilibrium, case-control or family-based studies, and integration of data from other databases that may supplement substance abuse genetics and genomics data. Data may be collected from the general population, special populations, recent admixed populations, and/or animal models. Secondary data analysis of data collected from the general population, special populations, recent admixed populations, and/or animal models is also appropriate for this announcement. Investigators are encouraged to include functional characterization, gene x gene interactions, gene x environment interactions, gene x environment x development interactions, pharmacogenetics, and non-human models, as appropriate.


Computational Approaches to Curation at Scale for Biomedical Research Assets×

Funder: National Institutes of Health

Funding opportunity: PAR-18-796

Proposals due: Jan. 31, 2020

The National Library of Medicine wishes to accelerate the availability of and access to secure, complete data sets and computational models that can serve as the basis of transformative biomedical discoveries by improving the speed and scope of the curation processes. This Funding Opportunity Announcement is focused on automating curation of biomedical digital assets in support of Goal 1.


A Science of Science Policy Approach to Analyzing and Innovating the Biomedical Research Enterprise×

Funder: NSF and NIH

Program Guidelines: NSF 19-547

Full Proposal Target Date: Feb. 10, 2020 (Feb. 9 annually thereafter), and Sept. 9 , 2020 (repeats annually)


Expeditions in Computing×

Funder: NSF

Program Guidelines: NSF 18-528

Full Proposal Window: April 24, 2019 – April 23, 2020


Exploratory Analyses of Existing Cohorts, Data Sets, and Stored Biospecimens to Address Clinical Aging Research Questions×

Funder: National Institutes of Health

Funding opportunity: PA-17-089

Proposals due: May 7, 2020

This funding opportunity announcement (FOA) invites studies employing secondary analysis of existing cohorts, data sets and biorepositories to explore clinically related issues on aging changes influencing health across the lifespan, including diseases and disabilities in older persons. Use of cohorts that are linked to electronic health record systems and/or Centers for Medicare and Medicaid Services (CMS) administrative data are especially welcome. This FOA will support exploratory analysis of innovative hypotheses in clinical aging research and/or to inform design of future epidemiologic or human intervention studies. Costs related to data harmonization, archival activities and/or assay refinement may be included in the budget, as long as they are pertinent to the specific aims of the proposed project.


Secondary Analyses of Existing Cohorts, Data Sets and Stored Biospecimens to Address Clinical Aging Research Questions×

Funder: National Institutes of Health

Funding opportunity: PA-17-088

Proposals due: May 7, 2020

This funding opportunity announcement (FOA) invites applications employing secondary analysis of existing data sets or stored biospecimens, to address clinically related issues on aging changes influencing health across the lifespan, and/or on diseases and disabilities in older persons. Use of cohorts that are linked to electronic health record systems and/or Centers for Medicare and Medicaid Services (CMS) administrative data are especially welcome. This FOA will support activities addressing specific hypotheses in clinical aging research and/or to inform the design and implementation of future epidemiologic or human intervention studies, or current geriatric practice in maintenance of health, management of disease, and prevention of disability. Existing data sets may also be used to develop and test new statistical analytical approaches. Costs for archiving of data to be made publicly available and those associated with data harmonization or assay refinement/validation may be included in the budget, as long as these activities are pertinent to the proposed secondary analyses.


Public Policy Effects on Alcohol-, Marijuana-, and Other Substance-Related Behaviors and Outcomes×

Funder: National Institutes of Health

Funding opportunity: PA-17-134

Proposals due: May 7

This Funding Opportunity Announcement (FOA) encourages applications to conduct research on the effects of public policies on health-related behaviors and outcomes associated with alcohol, marijuana, and other substances. The purpose of the FOA is to advance understanding of how public policy may serve as a tool for improving public health and welfare through its effects on behaviors and outcomes pertaining to alcohol and other drugs. This FOA is intended to support innovative research to examine policy effects that have the potential to lead to meaningful changes in public health. Research projects that may be supported by this FOA include, but are not necessarily limited to: causal analyses of the effects of one or multiple public policies; evaluations of the effectiveness of specific public policies as tools for improving public health through their effects on alcohol-, marijuana-, and other substance-related behaviors and outcomes; and research to advance methods and measurement used in studying relationships between public policies and alcohol-, marijuana-, and other substance-related behaviors and outcomes. The R03 Small Research Grant Program supports discrete, well-defined projects that realistically can be completed in two years and that require limited levels of funding. This program supports different types of projects including (but not limited to) pilot or feasibility studies; secondary analysis of existing data; small, self-contained research projects; and development of research methodology.


Secondary Analysis and Integration of Existing Data to Elucidate the Genetic Architecture of Cancer Risk and Related Outcomes×

Funder: National Institutes of Health

R01: PA-17-239  More  
R21: PA-17-243  More

Proposals due: May 7, 2020

This funding opportunity announcement (FOA) encourages applications that propose to conduct secondary data analysis and integration of existing datasets and database resources, with the ultimate aim to elucidate the genetic architecture of cancer risk and related outcomes. The goal of this initiative is to address key scientific questions relevant to cancer epidemiology by supporting the analysis of existing genetic or genomic datasets, possibly in combination with environmental, outcomes, behavioral, lifestyle, and molecular profiles data. Applications to this FOA are encouraged to leverage existing genetic data and perform innovative analyses of the existing data. Applications may include new research aims that are being addressed with existing data, new or advanced methods of analyses, or novel combinations and integration of datasets that allow the exploration of important scientific questions in cancer research.

Small Grants for Secondary Analyses of Existing Data Sets and Stored Biospecimens ×

Funder: National Institutes of Health

Funding opportunity: PA-17-299

Proposals due: May 7, 2020

This Funding Opportunity Announcement (FOA) encourages applications that propose to conduct secondary analyses of publicly available NICHD-funded data sets or stored biospecimens. The goal of this program is to facilitate innovative yet cost-effective research utilizing data and biospecimens collected with NICHD resources.



Leveraging Electronic Health Records for Alcohol Services Research×

Funder: National Institutes of Health

Funding opportunity: PAR-18-203

Proposals due: May 7

This FOA seeks low-cost, pragmatic research projects that leverage electronic clinical records to conduct studies that address novel health services questions about the treatment of alcohol use disorders (AUD) in routine clinical care settings. Although projects may be supplemented by other data sources, it is expected that major data collection activities will be integrated into, or obtained from, routine clinical records and other electronic resources, such as patient registries, electronic health records, data warehouses, billing data, pharmacy records, and/or administrative records. Projects should address questions with direct relevance for improving clinical care for patients with AUD, while contributing to an understanding of the current utility and remaining barriers to using electronic health records in the conduct of AUD treatment services research.


Smart and Autonomous Systems×

Funder: National Science Foundation

Program Guidelines: 18-557

Proposal Deadlines: June 1, 2020


Leveraging Population-based Cancer Registry Data to Study Health Disparities×

Funder: National Institutes of Health

Proposals due: Sept. 7, 2020



The goal of this Funding Opportunity Announcement (FOA) is to efficiently use the existing cancer registry infrastructure by augmenting data already collected with additional information needed to understand health disparities among people diagnosed with cancer. Specifically, this FOA will support the study of factors influencing observed health disparities within the framework of population-based cancer registries by the inclusion of data not routinely collected by or linked to the registries. The studies should be hypothesis-driven and multidisciplinary approaches are encouraged. Investigators are encouraged to leverage the data already collected by the registries to investigate the determinates of health disparities. The goal of these analyses will be to understand why disparities in cancer treatment and outcomes persist by identifying factors contributing to disparities and their relative importance.

Machine Learning and Artificial Intelligence (ML/AI) for Networking and Beyond×

Funder: Cisco

Invitation Code: RFP-18-05

Deadline: None

Cisco has issued an RFP that invites innovative proposals that investigate how machine learning and artificial intelligence (ML/AI) can benefit various aspects of networking. They are also interested in supporting research on novel ML/AI algorithms and system architectures motivated by novel applications and use cases.


Dear Colleague Letter: Supporting Research at the Intersection of Agricultural Science, Big Data, Informatics, and Smart Communities×

Funder: National Science Foundation and U.S. Department of Agriculture’s National Institute of Food and Agriculture

Funding opportunity number: NSF 19-051

The NSF and USDA/NIFA intend to jointly fund convergent research that combines methods in agricultural, biological, and computer and information science and engineering to address pressing challenges and opportunities in digital agriculture. This Dear Colleague Letter (DCL) is aligned with NSF’s Harnessing the Data Revolution Big Idea, and aims to build capacity across disciplinary boundaries, in preparation for larger scale investments at the intersection of computational, agricultural, and biological sciences….

Specific topics of interest include, but are not limited to, the following:

  • Methods for analyzing existing, large datasets, such as artificial intelligence, machine learning, and computer vision, for example, leveraging environmental, imaging, and genomic data;
  • Models for genetic x environment x management x socioeconomic interactions (G x E x M x S) in order to predict livestock, aquaculture, and plant phenotypic outcomes and sustainability—such as yield, survivability, resistance to environmental stressors, pest resistance, drought resistance, and nutritional value;
  • Data storage, management, and integration across a range of data types to enable a systems-level approach, including integration of big data in real-time systems;
  • Wired and wireless networking challenges in rural settings, including computation at the edge;
  • Security, privacy, and management for access and sharing of farm and community data; and
  • Learning science innovations, which may include development of computational skills for biological and agricultural science majors, and communities of agricultural practice for a diverse and innovative future workforce.

Principal Investigators may also consider the design of instructional materials or workforce development pathways, combining computational and agricultural expertise, in the broader impacts of proposals.

Proposals pursuant to this DCL may be submitted to one of three programs: 


OSU Strategic Research Travel Program×

Funder: OSU Office of Research

Deadline: 25th of every month

The Strategic Research Travel Program provides funding for travel for Ohio State faculty and principal investigators to meet with program officers at current and potential sponsors to help drive the development of innovative programs and priorities for sponsor agencies.

Examples of positioning activities the grant is meant to encourage include:

  • Building relationships with program officers/sponsor representatives
  • Reviewing and providing input to potential sponsors’ strategic plans
  • Exploring potential opportunities for future collaboration

These kinds of activities occur well before a sponsor releases a solicitation and are usually part of a longer-term business development plan for pursuing larger, multidisciplinary funding opportunities. Successful applicants should be able to make a case for how their proposed travel will contribute to Ohio State’s desire to develop strategic, multidisciplinary funding opportunities.

Reimbursable travel costs include airfare, per diem hotel and food expenses, and ground transportation. Awards are contingent upon the availability of funds.

Applications are reviewed monthly. Any application submitted by the 25th of the month will be reviewed that month and notified of its standing by the end of the month. If the application is received after that date, it will be reviewed the following month. If this is an urgent request please submit the application and then contact Janet Weisenberger, Senior Associate Vice President for the Office of Research at to explain the extenuating circumstances.


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Know of a funding opportunity of interest to 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