Funder: OSU Institute for Population Research
Deadline: Oct. 9
IPR offers seed grants to OSU faculty to nurture population science research projects that will lead to the submission of a grant proposal. Multi-disciplinary collaborations are favored, and junior faculty and faculty new to population and health research are encouraged to apply.
Funder: National Geographic
Deadline: Oct. 9
National Geographic, in partnership with Microsoft’s AI for Earth, is seeking novel projects that create and deploy AI tools to improve the way we monitor, model and ultimately manage Earth’s natural systems for a more sustainable future. Proposed work should create generalizable, scalable tools that use AI for conservation in at least one of the core areas of climate change, agriculture and water. See a list of 2018 funded projects here.
Funder: Facebook
Deadline: Nov. 1
To sustain traditional computing at scale for ever-growing machine learning workloads in its data centers, Facebook is calling for impactful solutions in the areas of developer toolkits, compilers/code generation, system architecture, memory technologies and ML accelerator support. In addition, the company seeks novel system design approaches to enable privacy-preserving ML, differential privacy, or multi-party compute, and any disruptive, game-changing technology for the landscape of training and inference for ML.
Funder: National Institutes of Health
Funding opportunities:
Proposals due: Nov. 20
This Funding Opportunity Announcement, a component of the NCI’s Informatics Technology for Cancer Research program, supports the development of enabling informatics technologies to improve the acquisition, management, analysis, and dissemination of data and knowledge across the cancer research continuum including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities.
Funders: NSF, NIH, German Federal Ministry of Education and Research (BMBF), French National Research Agency (ANR), the United States-Israel Binational Science Foundation (BSF), Japan’s National Institute of Information and Communications Technology (NICT), and Spain’s State Research Agency (AEI) and National Institute of Health Carlos III (ISCIII)
Funding Guidelines: 18-591
Full Proposal Deadline: Nov. 25
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.
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.
The Spring Simulation Conference is accepting call for papers for its May 19-21, at George Mason University (Virginia, USA), specifically for the Humans, Societies and Artificial Agents” (HSAA) Track.
Deadline: Dec. 16
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).
Funder: National Institutes of Health
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.
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.
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)
Funder: NSF
Program Guidelines: NSF 18-528
Full Proposal Window: April 24, 2019 – April 23, 2020
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.
Funder: National Institutes for 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.
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.
Funder: National Institutes of Health
Proposals due: May 7, 2020
R01: PA-17-239 More
R21: PA-17-243 More
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.
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.
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.
Funder: National Science Foundation
Program Guidelines: 18-557
Proposal Deadlines: June 1, 2020
Funder: National Institutes of Health
Proposals due: Sept. 7, 2020
R01: http://grants.nih.gov/grants/guide/pa-files/PA-17-289.html
R21: http://grants.nih.gov/grants/guide/pa-files/PA-17-288.html
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.
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.
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:
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:
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:
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 Weisenberger.21@osu.edu to explain the extenuating circumstances.
No results were found.