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This monthly newsletter has been created to assist FAS researchers across all domains who are looking for funding opportunities related to "Big Data". In response to the need for new conceptual and computational approaches for big data processing as well as education, funders like NSF, DoD, DoE, NIH and private foundations are offering more funding opportunities for Big Data research.
This newsletter will be sent electronically each month. To receive this and other funding opportunity newsletters, please sign up here. All opportunities will be archived and recipients may unsubscribe at any time. |
Funding Opportunities for BIG DATA
Social Science
(Computer-) Science and Engineering
Biomedical Science
Education and Training
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National Science Foundation (NSF) Directorate for Education and Human Resources (EHR)Building Community and Capacity in Data Intensive Research in Education (BCC-EHR)
Sponsor Deadline: September 01, 2015
OSP Deadline: August, 25, 2015
Award information: up to $500,000
The Directorate for Education and Human Resources (EHR) 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 EHR areas of research. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes--but is not necessarily limited to--EHR areas of research.
Additional information:
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National Science Foundation (NSF) Directorates for Social, Behavioral, and Economic Sciences (SBE) and Computer and Information Science and Engineering (CISE)Dear Colleague Letter: Research on Privacy in Today's Networked World
Sponsor Deadline: program-dependent, contact program officer Dr. Heng Xu at hxu@nsf.gov
OSP Deadline: 5 business days before sponsor deadline
The directorates for Social, Behavioral, and Economic Sciences (SBE) and Computer and Information Science and Engineering (CISE) invite investigators to submit proposals that address the need to develop new and deeper understandings of privacy in today's networked world. Our interest spans both disciplinary and interdisciplinary research in an array of SBE sciences. Proposals for workshops to explore novel and interdisciplinary SBE and SBE/CISE approaches to privacy are also welcome. This is not a special competition or new program. Proposals in response to this Dear Colleague Letter must meet the requirements and deadlines of the program to which they are submitted. Interested investigators are encouraged to contact Program Officer Dr. Heng Xu (hxu@nsf.gov) with up to a two-page statement explaining the core idea of their projects. Dr. Xu will assist investigators in identifying the most appropriate program(s) to which to submit their proposals.
Additional information: |
Alfred P. Sloan FoundationDigital Information Technology - Data and Computational Research
Sponsor Deadline: continuous, requires letter of inquiry
Award Information: Two types of applications, <$125,000 and >$125,000
From the natural sciences to the social sciences to the humanities to the arts, the availability of more data and cheaper computing is transforming research. As costs for sensors, sequencing, and other forms of data collection decline, researchers can generate data at greater and greater scale, relying on parallel increases in computational power to make sense of it all and allowing the investigation of phenomena too large or complex for conventional observation. Grants in the Data and Computational Research sub-program aim to help researchers develop tools, establish norms, and build the institutional and social infrastructure needed to take full advantage of important developments in data-driven, computation-intensive research. Emphasis is placed on projects that encourage access to and sharing of scholarly data, that promote the development of standards and taxonomies necessary for the interoperability of datasets, that enable the replication of computational research, and that investigate models of how researchers might deal with the increasingly central role played by data management and curation.
Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.
Additional information:
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(COMPUTER-) SCIENCE AND ENGINEERING
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United States Department of Commerce National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE)
Information Technology Laboratory (ITL) Grant Program
Sponsor Deadline: continuous
Award Information: $10,000 - $500,000
The ITL Grant Program provides financial assistance to support research in the broad areas of advanced network technologies, big data, cloud computing, computer forensics, information access, information processing and understanding, cybersecurity, health information technology, human factors and usability, mathematical and computational sciences, mathematical foundations of measurement science for information systems; a metrology infrastructure for modeling and simulation smart grid, software testing, and statistics for metrology. Proposals on product development and commercialization are not considered responsive to this funding opportunity.
Additional information:
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National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (MPS)Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)
Sponsor Deadline: December 9, 2015
OSP deadline: December 2, 2015
Additional information:
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National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE)Computing and Communication Foundations (CCF): Core Programs
Sponsor Deadline: September 16, 2015 (Medium), September 24, 2015 (Large), November 18, 2015 (Small)
OSP deadline: 5 business days before sponsor deadline
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Department of Energy (DOE)
Advanced Scientific Computing Research (ASCR)
Sponsor Deadline: Continuous through September 30, 2015
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United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Labratory - Big Spatial Data
Sponsor Deadline: continuous, closing date January 2016
Additional information:
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United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Labratory - On Demand Complex Spatio-Temporal Information Delivery
Sponsor Deadline: continuous, closing date January 2016
With extensive amounts of information available, some spatial, some temporal, some spatial- temporal, some neither, decision makers are surrounded by an unprecedented amount of data inputs when making decisions. When applied to the domain of Humanitarian Assistance/Disaster Relief, information feeds shift even more rapidly. The object of this is to conduct research and development in the areas of foundational information pre-event, necessary information for decision making during and shortly after an event, and long-term information requirements. Of particular interest is the ability to exploit different decision making paradigms, the relationship of the actors, the physical, social, natural environments, and the event. Additional work to create new spatial-temporal statistics that enhance decision making of social phenomena can be explored. Research is needed in topic areas related to a) spatial-temporal statistics and b) information retrieval for near real-time to real-time decision making; and c) visualization of static and dynamic 3/4/Nth dimension information.
Additional Information:
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National Science Foundation (NSF) Directorate for Geosciences (GEO)
Climate and Large-Scale Dynamics (CLD)
Sponsor Deadline: continuous
The goals of the Program are to: (i) advance knowledge about the processes that force and regulate the atmosphere's synoptic and planetary circulation, weather and climate, and (ii) sustain the pool of human resources
required for excellence in synoptic and global atmospheric dynamics and climate research.
Research topics include theoretical, observational and modeling studies of the general circulation of the stratosphere and troposphere; synoptic scale weather phenomena; processes that govern climate; the causes of climate variability and change; methods to predict climate variations; extended weather and climate predictability; development and testing of parameterization of physical processes; numerical methods for use in large-scale weather and climate models; the assembly and analysis of instrumental and/or modeled weather and climate data; data assimilation studies; development and use of climate models to diagnose and simulate climate and its variations and change.
Some Climate and Large Scale Dynamics (CLD) proposals address multidisciplinary problems and are often co-reviewed with other NSF programs, some of which, unlike CLD, use panels in addition to mail reviewers, and thus have target dates or deadlines. Proposed research that spans in substantive ways topics appropriate to programs in other divisions at NSF, e.g., ocean sciences, ecological sciences, hydrological sciences, geography and regional sciences, applied math and statistics, etc., must be submitted at times consistent with target dates or deadlines established by those programs.
Additional information:
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National Science Foundation (NSF) Directorate for Biological Sciences (BIO)
Advances in Biological Informatics (ABI)
Sponsor Deadline: August 11, 2015
OSP deadline: August 4, 2015
The ABI program seeks to encourage new approaches to the deployment of biological knowledge that renders the data and information therein of greater value to the scientific community. The ABI program is especially interested in proposals that offer potentially transformative outcomes through the development of informatics tools and resources that (1) offer novel and significant advances in the use of biological data and/or (2) will enable and stimulate advances through their impact on a significant segment of the biological research community supported by the NSF BIO Directorate. The ABI program accepts three major types of proposals: Innovation awards that seek to pioneer new approaches to the application of informatics to biological problems, Development awards that seek to provide robust cyberinfrastructure that will enable transformative biological research, and Sustaining awards that seek to support ongoing operations and maintenance of existing cyberinfrastructure that is critical for continued advancement of priority biological research.
Additional information:
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Alfred P. Sloan Foundation
Digital Information Technology - Data and Computational Research
Deadline: continuous, requires "letter of inquiry"
Award Information: Two types of applications, <$125,000 and >$125,000
From the natural sciences to the social sciences to the humanities to the arts, the availability of more data and cheaper computing is transforming research. As costs for sensors, sequencing, and other forms of data collection decline, researchers can generate data at greater and greater scale, relying on parallel increases in computational power to make sense of it all and allowing the investigation of phenomena too large or complex for conventional observation. Grants in the Data and Computational Research sub-program aim to help researchers develop tools, establish norms, and build the institutional and social infrastructure needed to take full advantage of important developments in data-driven, computation-intensive research. Emphasis is placed on projects that encourage access to and sharing of scholarly data, that promote the development of standards and taxonomies necessary for the interoperability of datasets, that enable the replication of computational research, and that investigate models of how researchers might deal with the increasingly central role played by data management and curation.
Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.
Additional information:
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National Institutes of Health (NIH)
Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)
Sponsor Deadline: October 05, 2015 (Standard NIH application dates)
OSP Deadline: September 28, 2015
Award Information: up to $900,000
The NIH is interested in promoting a broad base of research and development of technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine and including research to all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches.
Additional information:
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National Institutes of Health (NIH)
Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (R01)
Sponsor Deadline: October 05, 2015 (Standard NIH application dates)
OSP Deadline: September 28, 2015
The goal of this program announcement is to support the extended development, maintenance, testing, evaluation, hardening and dissemination of existing biomedical software. The NIH is interested in promoting a broadbase of research and development of technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems and that domain researchers are consulted to make sure that the software is relevant to users. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine and including research to all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches. New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community. The proposed work should apply best practices and proven methods for software design, construction, and implementation to extend the applicability of existing technologies in biomedical computing, informatics and big data science to a broader biomedical research community.
Additional information:
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National Institutes of Health (NIH)
Harnessing Big Data to Halt HIV (R01)
Sponsor Deadline: September 07, 2015
OSP deadline: August 28, 2015
The purpose of this funding opportunity announcement is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science. These approaches should include projects to assemble big data sources, conduct robust and reproducible analyses, and create meaningful visualization of big data. Participating Institutes include National Institute of Allergy and Infectious Diseases (NIAID) National Cancer Institute (NCI) National Institute on Drug Abuse (NIDA) National Institute of Mental Health (NIMH).
Additional information:
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National Institutes of Health (NIH) National Eye Institute (NEI)
NEI Research Grant for Secondary Analysis (R21)
Sponsor Deadline: October 16, 2015
OSP deadline: October 9, 2015
Award Information: Up to $275,000 for two years
This FOA issued by the National Eye Institute (NEI), National Institutes of Health (NIH), encourages applications from institutions/organizations that propose to conduct secondary data analyses utilizing existing database resources. Applications may be related to, but must be distinct from, the specific aims of the original data collection. The NEI supports an extensive portfolio of clinical trials and large-scale epidemiologic research projects, wherein numerous data collection activities are required to meet each project's specific aims. The resultant wealth of data generated by these studies often provides unique, cost-effective opportunities to investigate additional research questions or develop new analytical approaches secondary to a project's originally-intended purpose. Data are not limited to those collected under NEI support but such data are of the highest programmatic interest. The R21 may be used to develop new statistical methodologies or to test hypotheses using existing data, but this FOA may not be used to support the collection of new data.
Additional information:
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National Institutes of Health (NIH)
Predoctoral Training in Biomedical Big Data Science (T32)
Sponsor Deadline: July 27, 2015
OSP deadline: July 20, 2015
The purpose of this Funding Opportunity Announcement (FOA) is to solicit applications for graduate training programs in Big Data Science, for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences. This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.
Additional information:
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National Institutes of Health (NIH)
Open Educational Resources for Biomedical Big Data (R25)
Sponsor Deadline: September 18, 2015
OSP deadline: September 11, 2015
Award information: $600,000 ($200,000 of direct cost per year for three years, 4-5 grants per year anticipated)
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The goal of this funding opportunity announcement (FOA) is to complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral, and clinical research needs in utilizing 'Big Data.' To this end, this funding opportunity announcement encourages the development of creative educational activities with a primary focus on Curriculum or Methods Development. In particular, this Big Data to Knowledge (BD2K) FOA encourages R25 applications proposing the development of open educational resources (OER) for use by large numbers of learners at all career levels that enhance the ability of the workforce to use and analyze biomedical Big Data.
Additional information:
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National Institutes of Health (NIH)
Courses for Skills Development in Biomedical Big Data Science (R25)
Sponsor Deadline: September 18, 2015
OSP deadline: September 11, 2015
Award information: $450,000 ($150,000 per year for three years, 4-6 grants anticipated)
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The goal of this Big Data to Knowledge (BD2K) Program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral and clinical research needs in Big Data Science. To this end, this FOA encourages the development of creative educational activities with a primary focus on Courses for Skills Development.
Additional information:
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Contact Us:
Questions about this announcement or proposal submission may be directed to Jennifer Corby
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