Ohio State researchers are invited to submit proposals for funded collaborations involving researchers from the Ford Motor Company. Based on one-page idea descriptions, interested faculty will be connected with counterparts at Ford to develop a full proposal.
Process for Submissions:
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:
Program Guidelines: NSF 17-534
Full Proposal Deadline: June 1
The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of data science. The solicitation invites two categories of proposals: Foundations and Innovative Applications.
Funding Opportunity Number: PAR-17-267
Deadlines: June 5, October 5
The purpose of this funding opportunity announcement (FOA) is to support innovative research that will develop and apply computational tools and methods for modeling interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models should be useful to researchers, policymakers, or public health workers who want to better understand and respond to infectious diseases. This research opportunity encourages applications from institutions/organizations that propose to provide the scientific and public health communities better resources, knowledge, and tools to improve their ability to prepare for, identify, detect, control, and prevent the spread of infectious diseases caused by naturally occurring or intentionally released pathogens, including those relevant to biodefense.
Funding opportunity number: PA-16-119
Deadlines for new applications: 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
TDAI 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 TDAI’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 email@example.com.
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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