LOI due March 21: TDA Seed Grant RFP

As part of its mission to connect faculty with resources to create data- and analytics-enriched solutions for research and real world problems, TDA invites faculty throughout Ohio State to submit proposals for a TDA seed grant for work conducted in autumn semester 2017 or later.

We define “translational data analytics” as the application of data analytics theories and methods to generate solutions for real world problems. TDA tackles high-impact problems in all of their complexity, with a focus on those problems whose solutions simultaneously advance scientific knowledge and provide benefits to society. TDA’s focus is on solutions that take existing theories and inform them with data to make decisions—that is, problems at the intersection of data and analytics. While TDA acknowledges the centrality of particular disciplines, TDA also recognizes that solving complex problems requires teams of researchers that transcend traditional disciplinary boundaries. These teams will often extend beyond the boundaries of the university to include partners in the local community, government, and industry.

Consistent with our focus on translation, TDA encompasses both foundational and applied research. Foundational work advances data science theories and methods toward the discovery and development of data-enriched solutions by translating knowledge across traditional disciplinary boundaries. In addition, foundational work includes transformational and synergistic approaches to ethical, legal regulatory, and societal issues. Applied work in this area focuses on strategies and conditions needed to translate data-enriched solutions into real world settings.

TDA’s seed grant program is designed to advance translational data analytics by fostering a dynamic and interactive community of data analytics research, teaching, and innovation at The Ohio State University. The program supports the development of a community of scholars dedicated to identifying, sharply defining, and providing solutions to problems within the scope of TDA. This is to be accomplished through the formation of new, interdisciplinary teams to generate preliminary study concepts, technologies, data, and results. It is expected that these initial results will foster subsequent applications for extramural funding.

The intent is to maximize transdisciplinary connections among faculty, staff, students, and external partners and bringing new talents, expertise, and resources through collaborative work. Proposal applications for grants are expected to generate new opportunities or novel extensions of existing activities, rather than simply provide supplementary funding for existing activities. Proposals likely to produce tangible results will be favored (including, but not limited to, manuscripts, external grant proposals, software modules and prototypes, monographs, or other products that could be included in the data commons).

Due dates:

  • Letters of intent due: March 21.
  • Applications due: April 25.
  • Earliest possible start date: fall semester 2017.

Click here for guidelines and application.

Click here for FAQ.

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