Funding opportunity number: NSF 16-615
Letter of Intent (required) window: January 4-19
Full proposal window: March 1-15
Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in this solicitation, will support the development of small collaborative Institutes. Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process. All TRIPODS Institutes must involve significant and integral participation by all three communities.
Potential proposers may not submit a full proposal without first submitting a corresponding Letter of Intent (LOI), compliant with the instructions in the program solicitation, during the LOI submission window. Submitting a Letter of Intent does not oblige potential proposers to submit a full proposal.
Program guidelines: NSF 17-532
Full proposal deadline: March 15
As part of NSF’s Cyberinfrastructure Framework for 21st Century Science and Engineering activity, the Directorate for Education and Human Resources seeks to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for areas of research covered by EHR programs.
Funder: Translational Data Analytics at Ohio State
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.
Click here for more information, guidelines, and application.
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Funding opportunity number: OT-PM-17-002
Application due date: March 24
The National Institutes of Health has announced a new opportunity for organizations interested in helping engage volunteers in the All of Us Research Program, part of the NIH’s Precision Medicine Initiative. This funding opportunity, open to national and regional organizations as well as local community groups, will support activities to promote enrollment and retention in the All of Us Research Program across diverse communities.
Funder: Chronic Brain Injury focus area within the Discovery Themes initiative
Letter of intent due date: April 1
Application due date: May 1
The Chronic Brain Injury focus area within Discovery Themes is accepting applications from Ohio State faculty for its pilot award program. Up to six awards of $25,000 will support new projects that address chronic brain injury and have two or more co-PIs whose TIUs represent two or more colleges. Applicants must also provide matching funds of at least $25,000.
Dear Colleague Letter number: NSF 16-067
A variety of NSF Directorates/Offices are offering supplemental funding opportunities in FY16 and FY17 to improve graduate student preparedness for entering the workforce. NSF will consider support for supplements to existing research awards to enhance professional development opportunities for science and engineering doctoral student as described by each participating Directorate/Office. Interested investigators should contact the cognizant program officers listed on the opportunities.
Deadlines for FY17:
Funding opportunity number: PA-16-119
Deadlines for new applications: February 5, June 5, October 5
Applicants develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction.
Annual deadlines: August 31, January 31
TDA@OhioState has allocated a limited amount of funding annually for internal sponsorship. “Internal sponsorship” means support provided to Ohio State student organizations, departments, colleges, centers, and service units for events that align with TDA’s mission and goals of advancing the data analytics community of Ohio State.
Events must be transdisciplinary in nature and take place on Ohio State’s campus. Examples of events that might be co-sponsored include conferences and symposia, data workshops for faculty, or data-focused technical challenges for students. Co-sponsorship will not include support for primary research.
Applicants should review the Sponsorship Guidelines prior to completing a formal application. Requests will be considered for events taking place within one year of application. Applications are due biannually on Jan. 31 and Aug. 31 and should be emailed directly to firstname.lastname@example.org.
Funding opportunity number: PD 12-8084
Annual deadlines: September – December; vary by Division
The Computational and Data-Enabled Science and Engineering (CDS&E) program includes all Divisions within the Directorate for Mathematical and Physical Sciences (MPS) and the Directorate for Engineering (ENG), as well as the Division of Advanced Cyberinfrastructure (ACI) in the Directorate for Computer and Information Science and Engineering (CISE). 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.
Funding opportunity number: RFA-ES-16-010
Deadline: October 19
This Funding Opportunity Announcement is to provide time-limited, catalytic support for activities necessary to develop or extend/refine data and metadata standards and/or related tools in areas relevant to the NIH basic, translational, and clinical research mission. Projects can support activities at any point in the data standards lifecycle and should build on existing partnerships, infrastructure, and resources whenever possible.
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