Funding Opportunities

Disrupting Operations of Illicit Supply Networks (D-ISN) ×

Funder: NSF

Funding Opportunity Number: NSF 20-561

Deadline: July 1

A call for fundamental research across engineering, computer and information science, and social science to inform the economy, security and resilience of the nation and the world in responding to the global threat posed by illicit supply networks. The first call of an intended three-year program has proposal submission tracks for research proposals and for planning grants to support activities leading to convergence research team formation and capacity-building within research communities interested in addressing larger-scope challenges in the future. More

IBM Call for Code Challenge×

Funder: IBM

Application deadline: July 31

Funding amount: up to $270K per project

The annual Call for Code challenge asks innovators to create practical, effective, and high-quality applications based on one or more IBM Cloud services (e.g., web, mobile, data, analytics, AI, IoT, or weather) that can have an immediate and lasting impact on humanitarian issues. Winning  solutions are deployed in communities that need the most help.

This year’s competition will have two tracks: one for solutions that help halt and reverse the impact of climate change, and one for solutions to mitigate the impact of global pandemics like COVID-19 on communities around the world. The contest seeks coding solutions in the areas of immediate crisis communication, enhanced remote education, or stronger community cooperation.


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

Funder: National Institutes of Health

Proposals due: Sept. 7



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; applications received after that date will be reviewed the following month. If yours 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.


No results were found.

Note: For COVID-19 research funding opportunities, click here

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