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, sponsors 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



National Science Foundation (NSF) Directorate for Computer & Information Science & Engineering (CISE)
Cyberlearning and Future Learning Technologies
Sponsor Deadline: December 7, 2015 for Capacity-Building Projects (CAP); December 18, 2015 for Exploration Projects (EXP); January 18, 2016 for Development and Implementation Projects (DIP); May 9, 2016 for Integration Projects (INT) (LOIs); July 11, 2016 for INT Full Proposals 
OSP Deadline: 5 business days prior to sponsor deadline
Award Information: CAP awards vary; EXP awards are $550,000 over 2-3 years; DIP awards are $1,350,000 over 3-4 years; INT awards are $2,500,000 over 4-5 years

The purpose of the Cyberlearning and Future Learning Technologies program is to integrate opportunities offered by emerging technologies with advances in what is known about how people learn to advance three interconnected thrusts: Innovation; Advancing understanding of how people learn in technology-rich learning environments; and Promoting broad use and transferability of new genres. Proposals are expected to address all three of the program's thrusts. 

Applications in the following area are encouraged:

What new technology and socio-technical models are needed so that the big data generated by scientists and engineers can be made available and accessible to learners at all levels in ways that will engage them and help them learn? Under what conditions do these approaches work and why? What can be learned about learning processes and influences on learning by examining the effects with and of these new technologies? 

Awards will be made in three research categories, each focusing on a different stage of research and development: Exploration (EXP), Design and Implementation (DIP), and Integration (INT). The program will also support small Capacity-Building Projects (CAP), e.g., conferences, workshops, and partnership-building activities, and will continue to participate in NSF's Foundation-Wide programs: EAGER, RAPID, INSPIRE, and CAREER.

Additional information:
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
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 ( 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:
National Science Foundation (NSF) Directorate for Social, Behavioral, and Economic Sciences (SBE)
Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences (RIDIR)
Sponsor Deadline: February 29, 2016
OSP Deadline: February 22, 2016
Award Information: Subject to the availability of funds. Total maximum amount for all awards per year is $4.5 million and 3-4 awards will be made per year.

As part of NSF's Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.

Additional information:
National Science Foundation (NSF) Directorate for Social, Behavioral, and Economic Sciences (SBE) 
Restricted-Access Research Data Centers (RDCs)
Sponsor Deadline: September 30, 2015
OSP Deadline: September 23, 2015
Award Information: $100,000 to $300,000

This solicitation invites proposals for the establishment of new Research Data Centers (RDCs). RDCs are secure Census Bureau facilities within which external researchers are given access to confidential micro data in accordance with specific statutory requirements. RDCs are expected to engage researchers from across the social, behavioral, and economic sciences. NSF will provide start-up costs for new RDC facilities. Potential investigators first must contact Census regarding the feasibility of sponsoring an RDC prior to submitting a proposal to NSF. RDC proposals should address the following topics: (1) The cross-disciplinary and/or interdisciplinary potential of the proposed RDC. (2) The fit of the proposed RDC within the existing system. (3) Readiness of the proposed RDC. (4) Governance. (5) Resources available to the RDC.

Additional information:
Defense Advanced Research Projects Agency
Information Innovation Office (I20)
Information Innovation Office (I2O) Office-wide
Sponsor Deadline for Abstracts (strongly encouraged): Rolling through June 10, 2016
Sponsor Deadline for Full Proposals: Rolling through August 2, 2016
OSP Deadline: 5 days prior to submission
Award Information: awards will be commensurate with project needs and the availability of funds
I2O develops high-payoff information science and technology to provide a decisive information advantage for the U.S. and its allies. I2O invites research proposals in its thrust areas: 1) Empower the human within the information ecosystem; and 2) Guarantee trustworthy computing and information. I2O may also consider submissions outside these areas if the proposal involves the development of novel software-based capabilities having promise to provide decisive information advantage for the U.S. and its allies.

I2O seeks unconventional approaches that are outside the mainstream, challenge accepted assumptions, and have the potential to radically change established practice. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of the art. 
Additional information:
United States Department of Commerce
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grant Program for the Information Technology Laboratory (ITL) 
Sponsor Deadline: Rolling
Award Information: $10,000 - $500,000
Additional information:
United States Department of Defense (DOD)
Air Force Office of Scientific Research (AFOSR)
Broad Agency Announcement - Science of Information, Computation and Fusion 
Sponsor Deadline: Rolling (current BAA is active until superseded) 

United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement - Computing Science 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded) 

United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement - Mathematical Sciences 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded) 

Proposals are expected to be for cutting-edge innovative research that could produce discoveries that would have a significant impact on enabling new and improved Army operational capabilities and related technologies. One of ARO's priority research areas is mathematical science, with a particular emphasis on: Probability and Statistics (Statistical Theory and Techniques for Real Time Analysis of Data Stream, and Statistical Analysis of Very Large and Very Small Data Sets); Biomathematics (Multiscale Modeling/Inverse Problems); and Computational Mathematics. 


Additional information:  

United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Laboratory - Big Spatial Data
Sponsor Deadline: Rolling (current BAA is active until January 31, 2016 or until superseded) 
Additional information:
United States Department of Defense (DOD)
U.S. Army Engineer Research and Development Center (ERDC)
Broad Agency Announcement - Geospatial Research Laboratory - On Demand Complex Spatio-Temporal Information Delivery
Sponsor Deadline: Rolling (current BAA is active until January 31, 2016 or until superseded) 
The GEOSPATIAL RESEARCH LABORATORY's (GRL) mission is to provide the Warfighter with a superior knowledge of the battlefield. GRL's Information Generation and Management Branch invites proposals related to on demand complex spatio-temporal information delivery. 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 program 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:
United States Department of Defense (DOD)
Naval Research Laboratory (NRL)
Broad Agency Announcement - Basic and Applied Research in High Temperature Plasmas 
Sponsor Deadline: Rolling 

United States Department of Defense (DOD)
Office of Naval Research (ONR)
Broad Agency Announcement - Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance 
Sponsor Deadline: Rolling (current BAA is active until September 30, 2015 or until superseded) 

The Office of Naval Research (ONR) is interested in receiving proposals for Long-Range Science and Technology (S&T) Projects which offer potential for advancement and improvement of Navy and Marine Corps operations. ONR's Division of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance invests in areas of science and their applications such as data science, mathematical and computational science, computer and information sciences, quantum information sciences, cyber security, electronics, command and control and combat systems, communications, cyber operations, electronic warfare, sensing and surveillance, and precision timing and navigation. One of this Division's specific thrusts and focused research areas is: Mathematics, Computers and Information Sciences, which sponsors basic and applied research, and advanced technology development efforts in mathematics, computer and information sciences that address Navy and Department of Defense needs in computation, information processing, information operation, information assurance and cybersecurity, decision tools, and command and control with specific focus on enabling rapid, accurate decision making. Specific scientific and technical areas include: a) Applied and computational analysis; b) Command and control; c) Computational methods for decisionmaking; d) Cyber security and complex software systems; e) Machine learning, reasoning, and intelligence; f) Mathematical data science; g) Mathematical optimization and operations research; h) Quantum information sciences.


Additional information:  

United States Department of Energy (DOE)
FY 2015 Continuation of Solicitation for the Office of Science Financial Assistance Program - Advanced Scientific Computing Research (ASCR) 
Sponsor Deadline: Rolling (current solicitation is active until September 30, 2015 or until superseded) 

The Advanced Scientific Computing Research (ASCR) program's mission is to advance applied mathematics and computer science; deliver, in partnership with disciplinary science, the most advanced computational scientific applications; advance computing and networking capabilities; and develop, in partnership with the research community, including U.S. industry, future generations of computing hardware and tools for science. The strategy to accomplish this has two thrusts: developing and maintaining world-class computing and network facilities for science; and research in applied mathematics, computer science and advanced networking.


The priority areas for ASCR include the following:

  1. Develop mathematical models, methods and algorithms to accurately describe and predict the behavior of complex systems involving processes that span vastly different time and/or length scales.
  2. Advance key areas of computer science that enable the design and development of extreme scale computing systems and their effective use in the path to scientific discoveries; and transform extreme scale data from experiments and simulations into scientific insight.
  3. Advance key areas of computational science and discovery that support the missions of the Office of Science through mutually beneficial partnerships.
  4. Develop and deliver forefront computational, networking and collaboration tools and facilities that enable scientists worldwide to work together to extend the frontiers of science.
Sponsor Deadline for Preliminary Proposals (required): November 10, 2015 
Sponsor Deadline for Full Proposals: January 20, 2016
OSP Deadlines: November 3, 2015 and January 13, 2016
Award Information: II awards will range from $200,000 to $1.000,000; CI awards will range from $500,000 to $2,500,000; and CI-Planning awards will be in the $50,000 to $100,000 range

The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions (Divisions of Computer and Network Systems; Information and Intelligent Systems; and Computing and Communication Foundations) by supporting the creation and enhancement of world-class research infrastructure that will support focused research agendas in computer and information science and engineering. This infrastructure will enable CISE researchers to advance the frontiers of CISE research. 

The CRI program supports two classes of awards:

  • Institutional Infrastructure (II) awards support the creation of new (II-NEW) CISE research infrastructure or the enhancement (II-EN) of existing CISE research infrastructure.
  • Community Infrastructure (CI) awards support the planning (CI-P) for new CISE community research infrastructure, the creation of new (CI-NEW) CISE research infrastructure, the enhancement (CI-EN) of existing CISE infrastructure, or the sustainment (CI-SUSTAIN) of existing CISE community infrastructure to enable world-class CISE research opportunities for broad-based communities of CISE researchers that extend well beyond the awardee institutions. Each CI award may support the operation of such infrastructure, ensuring that the awardee institution(s) is (are) well positioned to provide a high quality of service to CISE community researchers expected to use the infrastructure to realize their research goals.
CRI proposals that are based on Big Data as the underlying research driver for the infrastructure must clearly describe a more focused research agenda related to specific types of Big Data and detail the Big Data to which the researchers involved in the associated research projects have access or reasonably expect to have access if the infrastructure is developed, enhanced, or sustained.

In each annual competition, an individual may participate in at most two proposals, across all classes, as PI, Co-PI, or Senior Personnel. Note that CRI does not typically support researchers in other disciplines who are simply employing existing computing and computational science approaches in their research; these researchers might look to infrastructure programs in their related NSF Directorate for possible support.

Additional information:
National Science Foundation (NSF) 
Directorate for Geosciences (GEO)
Climate and Large-Scale Dynamics (CLD)
Sponsor Deadline: Rolling
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.

Additional information
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:
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
Alfred P. Sloan Foundation
Digital Information Technology - Data and Computational Research
Sponsor Deadline: Rolling, 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:
Agency for Healthcare Research and Quality (AHRQ)
Special Emphasis Notice (SEN) Announcing Interest in Innovative Methods Research to Increase the Utility of Systematic Reviews (R03)
Sponsor Deadlines:  October 16, 2015 and February 16, 2016 
OSP Deadlines: October 9, 2015 and February 9, 2016
Award Information: up to $100,000 in total costs for up to 1 year

This SEN is intended to generate new methods for systematic review that address the opportunities and challenges of the current era of data abundance and that facilitate the integration of systematic reviews into healthcare decisions. Now that there are widely shared standards for how to conduct a high quality systematic review, the next challenge is developing novel or improved methods that optimize the efficiency, comprehensiveness, and predictive value of systematic reviews. Some potential areas of interest are described below:

  • Efficiency. Traditional systematic review approaches may not be sustainable given the ever increasing volume of studies and increasing demand for timely synthesized evidence.  Faster techniques, without sacrificing validity and reliability, are increasingly valuable.  
  • New forms of data. We are on the verge of having access to large data sets - both observational data and individual patient data from randomized controlled trials and patient registries. Tapping directly into this data could greatly enhance the power of systematic reviews and reduce the lag between knowledge generation and implementation.  
  • Predictive value. Systematic review methodology is highly detailed for processes, but much less developed regarding outcomes. Now that a substantial number of systematic reviews have been completed and indexed, it may be possible to empirically examine how accurately different reviews predict future research findings and to use this information to develop more robust methods.  

Innovative applications addressing systematic review methods and issues not mentioned above are also welcomed. Applicants should describe the significance of their proposed research to enhancing the speed, power, predictive value, or otherwise advancing the utility of systematic reviews.

Additional information:
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01)
Sponsor Deadline for Full Proposals: October 5, 2015
OSP Deadline: September 28, 2015
Award Information: up to $150,000 in direct costs per year for up to 3 years

The purpose of this FOA is to invite applications proposing the innovative analysis of existing social science, behavioral, administrative, and neuroimaging data to study the etiology and epidemiology of drug using behaviors (defined as alcohol, tobacco, prescription and other drug) and related disorders, associated HIV risk behaviors, prevention of drug use and HIV, and health service utilization. Under this FOA, the National Institute on Drug Abuse (NIDA), National Institute on Alcohol Abuse and Alcoholism (NIAAA), the National Cancer Institute (NCI), and the Office of Behavioral and Social Sciences (OBSSR) encourage the analyses of public use and other extant community-based or clinical datasets to their full potential in order to increase our knowledge of etiology, trajectories of drug using behaviors and their consequences, risk and resilience in the development of psychopathology, strategies to guide the development, testing, implementation, and delivery of high quality, effective and efficient services for the prevention and treatment of drug abuse and HIV. Research using large datasets that analyzes effects or outcomes not previously examined in the original scope of research is a priority for this announcement.   
Additional information:
Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01) 
Sponsor LOI Deadline (requested): September 6, 2015 
Sponsor Deadline for Full Proposals: October 6, 2015
OSP Deadline: September 29, 2015
Award Information: up to $300,000 in direct costs per year for up to 3 years

The purpose of this BD2K Funding Opportunity Announcement (FOA) is to solicit development of software tools and methods in the three topic areas of data privacy, data repurposing, and applying metadata, all as part of the overall BD2K initiative. It is anticipated that a single application will have a primary focus on one of the three topic areas. It is not expected that software and methods developed under this FOA will be fully hardened, but rather that investigators show a novel approach to a difficult problem and show some proof-of-concept for this new approach using relevant biomedical big data. While this FOA is intended to foster new development, submissions consisting of significant adaptations of existing methods and software are also invited. Some projects may reach a stage beyond proof of concept that might warrant further development into a hardened, well-documented software tool useful to the larger biomedical big data community. In such cases, NIH may choose to supplement projects awarded under this FOA, subject to availability of funds.   
Additional information:
National Institutes of Health (NIH)
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01) 
Sponsor LOI Deadline (requested): September 21, 2015 
Sponsor Deadline for Full Proposals: October 21, 2015
OSP Deadline: October 14, 2015
Award Information: expected to range between $150,000 to $250,000 direct costs per year for 3 years

This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data. Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data. It is expected that the approaches developed under this FOA will be made widely available to the neuroscience research community for their use and modification.  
Additional information:
National Cancer Institute (NCI)
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21)
Sponsor LOI Deadline (requested): 30 days prior to deadline 
Sponsor Deadline for Full Proposals: November 20, 2015; June 14, 2016; November 21, 2016
OSP Deadline: 5 days prior to deadline
Award Information: up to $275,000 in direct costs over a 2 year period

The purpose of this FOA is to invite exploratory/developmental research grant (R21) applications for the development of innovative methods and algorithms in biomedical computing, informatics, and data science addressing priority needs across the cancer research continuum, including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities.  As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Initiative, this FOA encourages applications focused on the development of novel computational, mathematical, and statistical algorithms and methods that can considerably improve acquisition, management, analysis, and dissemination of relevant data and/or knowledge. 
Additional information:
National Institutes of Health (NIH)
Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)
Sponsor Deadline: October 5, 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:
National Institutes of Health (NIH)
Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (R01)
Sponsor Deadline: October 5, 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:
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 up to 2 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:
National Institutes of Health (NIH) National Cancer Institute (NCI)
NIH Supplements to Support Evaluation of the NCI Cancer Genomics Cloud Pilots (Administrative Supplement to NCI funded R01, R24, U01 or U24)
Sponsor Deadline: October 18, 2015
OSP Deadline: October 11, 2015
Award Information: up to $40,000 in direct costs; the budget period must be within the currently approved project period for the existing parent award and work must be completed no later than September 30, 2016
The purpose of this Funding Opportunity Announcement (FOA) is to support projects that will incorporate the use of one or more of the NCI Cancer Genomics Cloud Pilots, which are research and development projects designed to explore innovative methods for accessing and computing on large genomic data, into ongoing research activities. In order to be eligible, applicants must have an existing NCI-funded R01, R24, U01 or U24 grant and must propose the use of one or more of the Cloud Pilots in support of the research objectives of the parent grant. The three existing NCI Cancer Genomics Cloud Pilots are based at the Broad Institute, the Institute for Systems Biology, and Seven Bridges Genomics. 

The use of an infrastructure in which large scale genomic data is co-located with computational resources and analysis tools is expected to lead to increased research efficiency and broader access to tools and data for cancer researchers, an important priority for the NCI. The activities and outcomes of projects funded through these supplements will help inform NCI's future plans for providing a computational infrastructure for genomics data. Potential applicants are strongly encouraged to contact the Scientific/Research Contact for this FOA to ensure that the supplement content area fits with the goals of this FOA. 
Additional information:
National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE)
Collaborative Research in Computational Neuroscience (CRCNS)
Sponsor Deadline: October 29, 2015
OSP Deadline: October 22, 2015
Award Information: Research Projects (both domestic and international) are expected to range from approximately $100,000 to $250,000 per year in direct costs, with durations of 3 to 5 years. Awards for Data Sharing Projects will be scaled according to the needs of the project; typically they will be smaller in size than research awards.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.


Two classes of proposals will be considered in response to this solicitation:

  • Research Proposals describing collaborative research projects, and
  • Data Sharing Proposals to enable sharing of data and other resources.

omestic and international projects will be considered. As detailed in the solicitation, international components of collaborative projects may be funded in parallel by the participating agencies. Opportunities for parallel funding are available for bilateral US-German Research Proposals, US-German Data Sharing Proposals, US-French Research Proposals, US-French Data Sharing Proposals, US-Israel Research Proposals, and multilateral proposals involving the United States and 2 or more additional countries. NSF will coordinate and manage the review of proposals jointly with participating domestic and foreign funding organizations, through a joint panel review process used by all participating funders.

Additional information:
National Institutes of Health (NIH)
BRAIN Initiative: Short Courses in Computational Neuroscience (R25)
Sponsor Deadline for LOIs (requested): October 6, 2015
Sponsor Deadline for Full Applications: November 6, 2015
OSP Deadline: October 30, 2015
Award Information: maximum of $200,000 in direct costs annually for up to 3 years
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this BRAIN Initiative R25 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. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development. This FOA will support short courses to facilitate the development of a sophisticated cadre of investigators with the requisite knowledge and skills in computational neuroscience perspectives and techniques for analyzing and interpreting complex, high-dimensional neuroscience data to advance the BRAIN Initiative. For the purposes of this FOA, computational neuroscience encompasses theoretical neuroscience, computational and mathematical modeling of neural systems, and/or statistical perspectives and techniques. Each short course is expected to include both didactics and in-person/hands-on experiences. This FOA is intended for participants who are graduate students, medical students, postdoctoral scholars, medical residents, and/or early-career faculty.      

A major goal of the BRAIN Initiative is to attract new investigators to neuroscience from quantitative disciplines such as computer science, mathematics, physics, statistics, materials science, and engineering. As such, plans to recruit participants with these diverse scientific backgrounds to the proposed short courses are strongly encouraged.
Additional information:
Contact Us:
Questions about this announcement or proposal submission may be directed to Jennifer Corby
(, 617-495-1590) or Susan Gomes ( 617-496-9448).


For Research Development Support (Finding Funding, Proposal Development Resources), go to