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 and storage, as well as the need for educational opportunities in this area for up and coming researchers, sponsors like NSF, DOD, DOE, NIH and private foundations are offering a growing number of funding opportunities for Big Data research and training programs.

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
 

* Indicates a funding announcement that was updated or added to the newsletter this month.
 
  SOCIAL SCIENCE  
CIMAAnalytics
Chartered Institute of Management Accountants (CIMA) 
Analytics Research Grants
Sponsor Deadline: August 31, 2016 
OSP Deadline: August 24, 2016
Award Information: Grants are typically between 5,000 and 40,000 depending on the scope of the project and its outputs

Tools and approaches enabling effective analytics in the field of management accounting include statistical analysis, data mining, predictive modelling and multivariate testing which assist in control decisions tied to the management of cash, stock, pricing, employee resource allocation, as well as broader operational, marketing, financial and risk management decisions. CIMA invites applications from around the world for research projects that adopt methods and methodologies which are appropriate to address these issues and relevant research questions. The complexity and scope of this topic mean that all methodologies are potentially relevant, similarly there are no restrictions on the theoretical frameworks that might be fruitfully drawn upon.

CIMA welcomes proposals that address a number of questions in this area, including: 

'Big Data' needs will evolve as enterprises engage in more advanced analytics to tease out insights on emerging trends - how will this change management accountants' roles in those enterprises?

Additional information is available in the full sponsor announcement
USDANIFAAFRI
Department of Agriculture (USDA)
National Institute of Food and Agriculture (NIFA) 
Foundational Program
Sponsor Deadline: August 11, 2016 
OSP Deadline: August 4, 2016
Award Information: Up to $250,000 for up to 2 years

The Agriculture and Food Research Initiative (AFRI) is a competitive grant program that provides funding for fundamental and applied research, education, and Extension projects in food and agricultural sciences. 

Under the Economics, Markets, and Trade program area, NIFA is interested in receiving proposals related to:  

Social and economic implication of advances in science and technology, e.g., genomics, the microbiome, nanotechnology, and unmanned aerial vehicles; and opportunities and economic implications of "big data".

Additional information is available in the full sponsor announcement.
NSFINSPIRE
National Science Foundation (NSF) 
Dear Colleague Letter: Integrated NSF Support Promoting Interdisciplinary Research and Education (INSPIRE)
Sponsor Deadline for Full Applications: Applications may be submitted in FY16 anytime after October 15, 2015
OSP Deadline: 5 business days prior to submission
Award Information: Up to $1 million for up to 5 years

The Integrated NSF Support Promoting Interdisciplinary Research and Education (INSPIRE) pilot continues to support bold interdisciplinary projects in all NSF-supported areas of science, engineering, and education research in FY16. INSPIRE has no targeted themes and serves as a funding mechanism for proposals that are required both to be interdisciplinary and to exhibit potentially transformative research (IDR and PTR, respectively). Complementing existing NSF efforts, INSPIRE was created to handle proposals whose:
  • Scientific advances lie outside the scope of a single program or discipline, such that substantial funding support from more than one program or discipline is necessary.
  • Lines of research promise transformational advances.
  • Prospective discoveries reside at the interfaces of disciplinary boundaries that may not be recognized through traditional review or co-review.
Prospective PIs must receive approval to submit a proposal from at least two NSF Program Officers, in intellectually distinct programs, whose expertise is most germane to the proposal topics. Consultations with POs prior to submission are required in order to aid in determining the appropriateness of the work for consideration under the INSPIRE mechanism. Only after approval is provided by at least two NSF POs in distinctly different research areas may a proposal be submitted.

Additional information is available in the full sponsor announcement. 
NSFORFFinanceInformatiics
National Science Foundation (NSF) 
Directorate for Computer and Information Science and Engineering (CISE) and
US Department of Treasury 
Office of Financial Research (OFR)
Dear Colleague Letter: OFR-NSF Partnership in Support of Research Collaborations in Finance Informatics
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission


The Directorate for Computer and Information Science and Engineering (CISE) of the National Science Foundation (NSF) and the Office of Financial Research (OFR) of the Department of Treasury share an interest in advancing basic and applied research centered on Computational and Information Processing Approaches to and Infrastructure in support of, Financial Research and Analysis and Management (CIFRAM). NSF and OFR have established a collaboration (hereafter referred to as CIFRAM) to identify and fund a small number of exploratory but potentially transformative CIFRAM research proposals. The collaboration enables OFR to support a broad range of financial research related to OFR's mission, including research on potential threats to financial stability. It also assists OFR with the goal of promoting and encouraging collaboration between the government, the private sector, and academic institutions interested in furthering financial research and analysis. The collaboration enables the NSF to nurture fundamental CISE research on a variety of topics including algorithms, informatics, knowledge representation, and data analytics needed to advance the current state of the art in financial research and analysis. Proposals that involve collaborations between Computer Scientists, Mathematicians, Statisticians, and experts in Financial Risk Analysis and Management are especially welcome.

Principal Investigators (PIs) interested in seeking research support through the program should submit 2-page white papers to sspengle@nsf.gov and OFR_Grants@ofr.treasury.gov (please use these addresses; the one listed in the DCL is out of date)If OFR and NSF agree that the research idea falls within the scope of CIFRAM, the PI will be invited to submit an EAGER proposal. 

Additional information is available in the full sponsor announcement. 
 (COMPUTER-) SCIENCE AND ENGINEERING
DARPAD3M
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I20)
Data-Driven Discovery of Models (D3M)
Sponsor Deadline for Full Proposals: August 12, 2016
OSP Deadline: 5 business days prior to submission
Award Information: The level of funding for individual awards made under this solicitation has not been predetermined and will depend on the quality of the proposals received and the availability of funds. D3M is divided into two phases, of 24 months each.
 
DARPA is soliciting innovative research proposals in the area of automated model discovery systems that create empirical models of real, complex processes from data. D3M aims to develop systems that enable users with subject matter expertise but no data science background to create empirical models. Proposed research should investigate 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 practice. 

D3M is divided into two phases with evaluations structured around real world modeling problems that become increasingly more difficult as the program progresses. During the first phase of the program, performers will develop the capability to build models for a class of empirical science problems where complete data (but possibly including distractor variables) is given a priori. During the second phase, the program will work on problems that are both underspecified and unsolved.
 
Additional information is available in the full sponsor announcement.
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I20)
Information Innovation Office (I2O) Office-wide
Sponsor Deadline: Rolling through August 2, 2016
OSP Deadline: 5 business 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 is available in the full sponsor announcement.
CS1
United States Department of Commerce (DOC)
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grant Program for the Information Technology Laboratory (ITL) 
Sponsor Deadline: Rolling (applications submitted after June 13, 2016 will be considered in FY17)
OSP Deadline: 5 business days prior to submission
Award Information: $10,000 - $500,000, with project periods of up to 5 years. In FY 2015, the ITL Grant Program funded 38 new awards totaling $6,980,364.
 
 
Additional information is available in the full sponsor announcement.
Fusion
United States Department of Defense (DOD)
Air Force Office of Scientific Research (AFOSR)
Broad Agency Announcement: Research Interests of the Air Force Office of Scientific Research - Science of Information, Computation and Fusion 
Sponsor Deadline: Rolling (current BAA is active until superseded)
OSP Deadline: 5 business days prior to submission 

AROcs
United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2012 through 2017 - Computing Science 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 

Math
United States Department of Defense (DOD)
Army Research Office (ARO)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2012 through 2017 - Mathematical Sciences 
Sponsor Deadline: Rolling (current BAA is active until March 31, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 

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 is available in the full sponsor announcement.
CS5
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, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 
 
 
Additional information is available in the full sponsor announcement.
DODNGAGeoInt
United States Department of Defense (DOD) 
National Geospatial Intelligence Agency (NGA)
National Geospatial-Intelligence Agency Academic Research Program
Sponsor Deadline for White Papers (strongly encouraged): Rolling through August 31, 2017 
Sponsor Deadline for Full Proposals: Rolling through September 30, 2017 
OSP Deadline: 5 business days prior to submission
Award Information: NGA University Research Initiatives (NURI) awards are expected to have a 24-month base period with a value of up to $300,000, with up to three one-year options valued at up to $150,000 per option year. NGA New Investigator Program (NIP) award grants are expected to have a 24-month base period valued up to $200,000, with up to one-year option valued at $100,000.

NGA welcomes all innovative ideas for path-breaking research that may advance the GEOINT mission. The NGA mission is to provide timely, relevant, and accurate geospatial intelligence (GEOINT) in support of national security objectives. GEOINT is the exploitation and analysis of imagery and geospatial information to describe, assess, and visually depict physical features and geographically referenced activities on the Earth. The NGA Academic Research Program (NARP) is focused on innovative, far-reaching basic and applied research in science, technology, engineering and mathematics having the potential to advance the GEOINT mission. The objective of the NARP is to support innovative, highpayoff research that provides the basis for revolutionary progress in areas of science and technology affecting the needs and mission of NGA. This research also supports the National System for Geospatial Intelligence (NSG), which is the combination of technology, systems and organizations that gather, produce, distribute and consume geospatial data and information. This research is aimed at advancing GEOINT capabilities by improving analytical methods, enhancing and expanding systems capabilities, and leveraging resources for common NSG goals. NGA welcomes innovative research ideas in a number of areas, one of which is massive data.

NGA offers several award mechanisms, including NGA University Research Initiatives (NURI) awards and NGA New Investigator Program (NIP) Grants. 

Additional information is available in the full 
sponsor announcement.
NRLBAA
United States Department of Defense (DOD) 
Naval Research Laboratory (NRL)
NRL Broad Agency Announcement
Sponsor Deadline: Rolling (current BAA is active until superseded)
OSP Deadline: 5 business days prior to submission

The Naval Research Laboratory (NRL) is the Navy's corporate laboratory. NRL conducts basic and applied research for the Navy in a variety of scientific and technical disciplines. The basic research program is driven by perceptions about future requirements of the Navy. NRL is organized into three research directorates and one center: Systems Directorate; Materials Science and Component Technology Directorate; Ocean and Atmospheric Science and Technology Directorate; and Naval Center for Space Technology.

NRL invites proposals which range from theoretical studies to proof-of-concept to include fabrication and delivery of a prototype. NRL is interested in receiving proposals for the research efforts described under this BAA, including the following which relate to Big Data: 
  • Information Management and Decision Architectures
  • Federated, Distributed Computing/Network Infrastructure 
  • Basic and Applied Research in High Temperature Plasmas
  • Airborne, Shipboard, and Overhead Data Acquisition and Analysis
Additional information is available in the full sponsor announcement.
ONR
United States Department of Defense (DOD)
Office of Naval Research (ONR)
Broad Agency Announcement for Navy and Marine Corps Science and Technology - Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance 
Sponsor Deadline: Rolling (current BAA is active until September 30, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 

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.
 
DOEASCR
United States Department of Energy (DOE)
Office of Science
FY 2016 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, 2016 or until superseded)
OSP Deadline: 5 business days prior to submission 

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 advancing 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.
Additional information is available in the full sponsor announcement.
Google
Google 
Google Faculty Research Awards 
Sponsor Deadline: September 30, 2016
Award Information: Faculty members can apply for up to 150,000 USD in eligible expenses, but most awards are funded at the amount needed to support one graduate student for one year. Most awards are in the 40,000-70,000 USD range.
 
This program supports academic research in computer science, engineering, and related fields. Each funded project will be assigned a Google sponsor by the review committee. The role of the sponsor is to support the project by discussing research directions, engaging with professors and students, and enabling interactions between the project team and Google. 
 
Google Faculty Research Awards are one-year awards structured as current-use unrestricted gifts (subject to a gift assessment at the local School rate) to support the research of world-class permanent faculty members at top universities around the world. While Google's website states that Faculty Research Awards do not cover indirect costs, administrative costs, or overhead, the Office of the Vice Provost for Research and Google's University Relations group have reached an agreement that Harvard's schools are authorized to assess gifts in line with university and school policies. For FAS and SEAS, the gift assessment fee on unrestricted current-use gift funds is 15%. This includes, at certain schools, the exemption of some classes of funds such as financial aid. Any questions about the acceptance of Google Faculty Research Awards can be directed to Denise Gorayeb, Recording Secretary, at denise_gorayeb@harvard.edu or Jen Chow, Director of Foundation and Corporate Development, OVPR, at jennifer_chow@harvard.edu.

The online application will be available on August 1st.
  
IARPAWideBAA
Intelligence Advanced Research Projects Activity (IARPA) 
IARPA-Wide Research BAA 
Sponsor Deadline: Rolling (current solicitation is active until May 2, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission 
Award Information: Budgets should be commensurate with the scope of the project. Periods of performance generally will not exceed 12 months.

IARPA invests in high-risk, high-payoff research that has the potential to provide our nation with an overwhelming intelligence advantage. IARPA is soliciting proposals for research on topics that are not addressed by emerging or ongoing IARPA programs or other published IARPA solicitations. This BAA primarily, but not solely, seeks proposals for early stage research (which IARPA refers to as "seedlings").

IARPA's areas of interest include: Analysis - Analysis focuses on maximizing insights from the massive, disparate, unreliable and dynamic data that are - or could be - available to analysts, in a timely manner. IARPA is pursuing new sources of information from existing and novel data, and developing innovative techniques that can be utilized in the processes of analysis. Analysis research efforts are diverse across technical disciplines but have the following common features: (a) they create technologies that can earn the trust of the analyst user by providing the reasoning for results; and (b) they address data uncertainty and provenance explicitly. Within the Analysis area, IARPA is particularly interested in: Rigorous mathematical or probabilistic research on state-of-the-art, or novel techniques for improving the understanding of machine learning that leads to significant progress in generalization and repeatability of learning algorithms in applications involving big data mining or high volume data streams.
MicrosoftDataScience
Microsoft Research
Data Science Award  
Sponsor Deadline: August 15, 2016; October 15, 2016; December 15, 2016
OSP Deadline: 5 business days prior to submission 
Award Information: Winning proposals will be awarded allocations of Microsoft Azure storage and compute resources for a period of one year

NSFABI
National Science Foundation (NSF) 
Directorate for Biological Sciences (BIO)
Advances in Biological Informatics (ABI)
Sponsor Deadline: September 9, 2016
OSP Deadline: September 2, 2016
Award Information: Approximately $12-15 million is available for 20-30 new awards depending on prior commitments and availability of funds
 
The Advances in Biological Informatics (ABI) program seeks to encourage new approaches to the analysis and dissemination of biological knowledge for the benefit of both the scientific community and the broader public. The ABI program is especially interested in the development of informatics tools and resources that have the potential to advance- or transform- research in biology supported by the Directorate for Biological Sciences at the National Science Foundation.  

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 is available in the full 
sponsor announcement.
NSFCDSEMSS
National Science Foundation (NSF) 
Directorate for Mathematical & Physical Sciences (MPS)
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)
Sponsor Submission Window: November 25-December 9, 2016
OSP Deadline: 5 business days prior to submission
Award Information: Award size will be commensurate with the scope of the project
 
The CDS&E-MSS program accepts proposals that confront and embrace the host of mathematical and statistical challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical theories and tools that will be essential for addressing such issues. To this end, the program will support fundamental research in mathematics and statistics whose primary emphasis will be on meeting the aforementioned computational and data-related challenges. 

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges.  Proposals of interest to the program will include a Principal Investigator or co-Principal Investigator who is a researcher in the mathematical or statistical sciences in an area supported by the Division of Mathematical Sciences. The program encourages submission of proposals that include
multidisciplinary collaborations or the training of mathematicians and statisticians in CDS&E.

Additional information is available in the full sponsor announcement.
NSFCRII
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
CISE Research Initiation Initiative (CRII)
Sponsor Deadline: August 10, 2016
OSP Deadline: August 3, 2016
Award Information: Each award will be up to $175,000 for up to 24 months
 
The CISE Research Initiation Initiative (CRII) is part of CISE's strategy to increase its investments in the development and growth of the research capabilities of future generations of computer and information scientists and engineers, including computational and data scientists and engineers. CRII awards will be given to researchers to undertake exploratory investigations, to acquire and test preliminary data, develop collaborations within or across research disciplines, and/or develop new algorithms, approaches, and system designs/prototypes, which together or separately may lead to improved capacity to write successful proposals submitted to other programs in the future. 

Understanding the critical role of establishing that independence early in one's career, it is expected that funds will be used to support untenured faculty or research scientists (or equivalent) in their first three years in a primary academic position after the PhD, but not more than a total of five years after completion of their PhD. One may not yet have received any other grants or contracts in the Principal Investigator (PI) role from any department, agency, or institution of the federal government. It is expected that these funds will allow the new CISE Research Initiation Initiative PI to support one or more graduate students for up to two years. In addition, applicants may use funds for postdoctoral scholars, travel, and/or research equipment.

Additional information is available in the full sponsor announcement.
NSFPRAC
National Science Foundation (NSF) 
Directorate for Computer & Information Science & Engineering (CISE)
Petascale Computing Resource Allocations (PRAC)
Sponsor Deadline: November 9, 2016
OSP Deadline: November 2, 2016
Award Information: Up to $40,000 for each award, with 12-15 awards expected. The maximum award duration is 2 years.
 
In 2013, a new NSF-funded petascale computing system, Blue Waters, was deployed at the University of Illinois at Urbana-Champaign. The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains. The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show compelling science or engineering challenges that require petascale computing resources. Proposers must also be prepared to demonstrate that they have science or engineering research problems that require and can effectively exploit the petascale computing capabilities offered by Blue Waters. In particular, proposals are encouraged that broaden the areas of scientific research that are actively being conducted using Blue Waters - see https://bluewaters.ncsa.illinois.edu/science-teams for details.

Successful proposals will receive allocations to access Blue Waters to support the research that they have planned, along with limited travel funds to support technical coordination with the Blue Waters project team and with other research teams with allocations on Blue Waters. Note that this program does not provide funds for the research itself or for the development of models or analysis tools.

Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.
 
 Additional information is available in the full sponsor announcement.
CS9
Alfred P. Sloan Foundation
Digital Information Technology - Data and Computational Research
Sponsor Deadline: Rolling, requires Letter of Inquiry
OSP Deadline: 5 business days prior to submission
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 is available in the full sponsor announcement. 
BIOMEDICAL RESEARCH
USAMRMC
Department of Defense (DOD) 
United States Army Medical Research and Materiel Command (USAMRMC)
FY16 Broad Agency Announcement for Extramural Medical Research
Sponsor Deadline for Preliminary Proposals (required): Rolling through September 30, 2016 
Sponsor Deadline for Full Proposals (by invitation only): Rolling through September 30, 2016
OSP Deadline: 5 business days prior to submission
Award Information: No budget limits; award duration is up to 5 years

The USAMRMC mission is to provide solutions to medical problems of importance to the American Service member at home and abroad, as well as to the general public at large. Projects must be for scientific study and experimentation directed toward advancing the state of the art or increasing knowledge or understanding rather than focusing on a specific system or hardware solution. Research and development funded through this BAA are intended and expected to benefit and inform both military and civilian medical practice and knowledge. 

Under USAMRMC's Health Informatics and Health Information Technology Portfolio, one of its priority areas is Big Data/Analytics as they relate to Military Healthcare Services. USAMRMC is interested in the development and application of methods for analysis, interpretation, prediction, and modeling of health system and patient-generated data. The objective is to use mathematical and/or intelligent learning/machine learning tools to extract practical information, usable/actionable clinical knowledge, and/or predict disease or adverse events from health system and patient-generated data.
 
Additional information is available in the full sponsor announcement. 
NIHDrugAbuseResearch
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01)
Sponsor Deadline: October 5, 2016; February 5, 2017; June 5, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Budgets are limited to under $500,000 direct costs per year and the maximum project period is 5 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, prevention of drug use and HIV, and health service utilization. This FOA encourages 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 including morbidity and mortality, 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.

One of the listed topic areas of interest is:

Characterize brain morphology or function that either confers risk for drug abuse (in developmental samples), or is aberrant as a consequence of chronic drug use, where re-analysis of large amalgamated datasets might enable sub-analyses by specific substances of abuse, use patterns, or comorbidities.
 
Additional information is available in the full sponsor announcement. 
NIHBD2KK01
BD2K Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01)
Sponsor Deadline: August 1, 2016
OSP Deadline: July 25, 2016
Award Information: Award budgets are composed of salary (up to $185,100 per year) and other program-related expenses ($40,000 per year)The total project period may not exceed 4 years.

This BD2K FOA solicits applications for a mentored career development award in the area of Big Data Science. The aim of the initiative is to support additional training of scientists who will gain the knowledge and skills necessary to be independent researchers as well as to work in a team environment to develop new Big Data technologies, methods, and tools applicable to basic and clinical research. The award is intended for research-oriented investigators at any level of experience, from the postdoctorates to mid-career and senior level faculty, who have shown clear evidence of productivity and research excellence in the field of their training, and who would like to expand their research capability with a mentored career development experience, with the goal of making significant contributions to develop technology, tools and methods for research in Big Data Science. Candidates are required to commit a minimum of 75% of full-time professional effort (i.e., a minimum of 9 person-months) to their career development and research training during the mentored phase. 
 
Additional information is available in the full sponsor announcement. 
NIHBD2KR25
BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25)
Sponsor Deadline for Letters of Intent: 30 days prior to submission
Sponsor Deadline for Full Proposals: August 2, 2016; August 2, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets may not exceed $200,000 in direct costs annually and need to reflect the actual needs of the proposed project. The maximum project period is 3 years.

The over-arching goal of this Big Data to Knowledge (BD2K) 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 that goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development for biomedical researchers who need the requisite knowledge and skills to extract knowledge from biomedical Big Data. To extend the reach of the course, each educational activity is required to develop open educational resources (OERs) that adhere to FAIR (findable, accessible, interoperable, and reusable) principles. Ideally, OERs should be useful to individuals at all career levels, from predoctoral students to established investigators. 
 
Additional information is available in the full sponsor announcement. 
NIHNCIR21
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to deadline 
Sponsor Deadlines for Full Proposals: November 21, 2016; June 14, 2017
OSP Deadline: 5 business days prior to submission
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 is available in the full sponsor announcement. 
NIHCancerEpidemiology
Exploratory Grants in Cancer Epidemiology and Genomics Research (R21)
Sponsor Deadlines: October 16, 2016; February 16, 2017; June 16, 2017
OSP Deadline: 5 business days prior to submission
Award Information: The combined budget for direct costs for the 2 year project period may not exceed $275,000

This FOA invites applications for research on cancer epidemiology, genomics, and risk assessment. The overarching goal is to provide support to promote the early and conceptual stages of research efforts on novel scientific ideas that have the potential to substantially advance cancer research, such as improving epidemiologic study data collection; validating measurement of exposures in body fluids and tissues; applying epigenetic or metabolomic approaches to cancer epidemiology research; developing and applying novel strategies for discovery of risk variants for rare cancers; understanding the population genetic architecture of cancer in understudied populations; or validating methods to extract, collect, and synthesize clinical data via electronic medical records for use in observational studies of cancer patients and survivors.

Specific topics of interest include:

Secondary data analyses of existing genome-wide data or other large genomic datasets for the purpose of identifying gene-environment interactions or the impact of rare genetic risk variants on outcomes in high-risk families.
 
Additional information is available in the full sponsor announcement. 
NIHHIVBigData
Harnessing Big Data to Halt HIV (R01)
Sponsor Deadlines: September 7, 2016; January 7, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). These approaches should include projects to assemble big data sources, conduct robust and reproducible analyses, and create meaningful visualization of big data.
 
Additional information is available in the full sponsor announcement. 
NIHInfectiousDisease
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadlines: October 5, 2016; February 5, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years.

The purpose of this 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.

Areas of focus include conceptual development of models, particularly analytical and statistical tools for interpreting and using large data sets or model results.
 
Additional information is available in the full sponsor announcement.
NIHNEIR21
NEI Research Grant for Vision Related Secondary Data Analysis (R21)
Sponsor Deadlines: October 16, 2016; February 16, 2017
OSP Deadline: 5 business days prior to submission
Award Information: The combined budget for direct costs for the 2 year project period may not exceed $275,000. No more than $200,000 may be requested in any single year.

This FOA encourages applications from institutions/organizations that propose to conduct vision-related 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 purpose of this FOA is for secondary data analysis from vision related clinical trials, epidemiologic and other clinical research studies. This FOA may be used to develop new statistical methodologies or test hypotheses using existing data, but this FOA must not be used to support the collection of new data.
 
Additional information is available in the full sponsor announcement.
NIHNIAIDImmPort
Informatics Methodology and Secondary Analyses for Immunology Data in ImmPort (UH2)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to submission deadline
Sponsor Deadline for Full Proposal: October 4, 2016; October 4, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Direct costs are limited to $275,000 over a 2 year period. No more than $200,000 may be requested in any single year. The maximum project period is 2 years.

With rapid technological advances and application of high-throughput assays, NIAID-supported research programs are not only changing the landscape of immunological studies, but also generating datasets in such large volume and complexity that specialized infrastructure is required to support data sharing as well as integrative, secondary and reproducibility analyses. Recognizing this growing need, the NIAID Division of Allergy, Immunology, and Transplantation (DAIT) has funded the development of a public data sharing repository, the Immunology Database and Analysis Portal (ImmPort), which serves as a unique resource for public data sharing of immunological studies. 

The goals of this FOA are to support the development of new or improved informatics tools and methods for the reuse of shared data in ImmPort; and to support secondary analyses of existing immunology datasets to address basic and clinical immunology questions. 

Additional information is available in the full sponsor announcement.
NIHNIDAR01
The Application of Big Data Analytics to Drug Abuse Research (R01)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to submission deadline
Sponsor Deadlines for Full Proposals: October 5, 2016; February 5, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction. NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records. Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research. The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.
 
Additional information is available in the full sponsor announcement.
NIHNIDCRR03
Small Research Grants for Data Analysis and Statistical Methodology Applied to Genome-wide Data (R03)
Sponsor Deadlines: October 16, 2016; February 16, 2017
OSP Deadline: 5 business days prior to submission
Award Information: The combined budget for direct costs for the 2 year project period may not exceed $200,000

The purpose of this FOA is to provide support for meritorious research projects that involve statistical analysis of existing genome-wide data (e.g. genome-wide SNP genotyping; DNA sequencing; transcriptomic, metagenomic, epigenomic, or gene expression data) relevant to human dental, oral, or craniofacial conditions or traits. Development of statistical methodology appropriate for analyzing genome-wide data, relevant to human dental, oral, or craniofacial conditions or traits, may also be proposed.
 
Additional information is available in the full sponsor announcement.
NIHNLMK01
NLM Career Development Award in Biomedical Informatics and Data Science (K01)
Sponsor Deadlines: October 12, 2016; February 12, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Award budgets are composed of salary (up to $100,000 plus fringe benefits) and other program-related expenses ($50,000  per year)The total project period may not exceed 3 years.

The purpose of the NLM Career Development Award (K01) in Biomedical Informatics and Data Science is to provide support and "protected time" (a minimum of 75% of full-time professional effort for up to three years) for an intensive career development experience in biomedical informatics and data science leading to research independence. NLM invites K01 applications from junior investigators, who have either a health professional or research doctorate and who are in the first three years of their initial faculty positions. Candidates who received their training at one of NLM's university-based biomedical informatics training programs are encouraged to apply.   
 
Additional information is available in the full sponsor announcement.
NIHBiomedicalComputing
National Institutes of Health (NIH) 
Technologies in Biomedical Computing, Informatics, and Big Data Science (R01)
Sponsor Deadlines: October 5, 2016; February 5, 2017
OSP Deadlines: 5 business days prior to submission
Award Information: Early Stage Awards will not exceed $300k direct costs per year for up to 3 years. Extended Development, Hardening and Dissemination Awards are not limited but need to reflect the actual needs of the proposed project. Project periods are limited to 5 years.
 
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.  New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community.  

There are two FOAs for R01 awards available in this area. The first, Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science (PA-14-155), aims to address biomedical research areas in biomedical computing, informatics, and Big Data science through the early stage development of new software, tools and related resources, as well as the fundamental research (e.g., methodologies and approaches) leading up to that development.

The second, Extended Development, Hardening and Dissemination of Technologies in Biomedical Computing, Informatics and Big Data Science (PA-14-156) is to support the extended development, maintenance, testing, evaluation, hardening and dissemination of existing biomedical software. 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 is available in the full sponsor announcement (PA-14-155) and sponsor announcement (PA-14-156).
NSFCogNeuro
National Science Foundation (NSF) 
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro)
Sponsor Deadline: August 15, 2016; February 13, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Award size will be commensurate with the scope of the project 
 
Cognitive neuroscience is an interdisciplinary field of research dedicated to the understanding of the neural mechanisms underlying human cognition. As this field continues to grow, the National Science Foundation intends for cognitive neuroscience emphases to spur the development of highly novel theories, techniques and models directed toward enabling basic scientific understanding of a broad range of issues involving brain, cognition, and behavior. The emphasis at NSF is on the integration of cognitive, social and economic science in service of insights into healthy functions of brain, cognition, and behavior.  Additionally, NSF highly values the exploration of new methodologies, utilization of the latest analytic approaches, and the convergence of cutting edge techniques for addressing basic questions about human cognition.  

NSF is interested in supporting projects that address the growing amount of data collected across disparate lab environments, which may require new standardization, curation, and sharing solutions. Proposals which describe the application of computational techniques or models for addressing cognitive questions or issues of data analysis are especially welcomed.

Additional information is available in the full sponsor announcement.
DMSNIGMS
National Science Foundation (NSF) 
Directorate for Mathematical & Physical Sciences (MPS) and 
National Institutes of Health (NIH) 
National Institute of General Medical Sciences (NIGMS)
Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS) 
Sponsor Deadline: September 14, 2016
OSP Deadline: September 7, 2016
Award Information: Award sizes are expected to range from $100,000 to $400,000 (total costs) per year with durations of 3-5 years. Approximately $5,000,000 will be made available per year for new applications ($2,000,000 from NSF, $3,000,000 from NIGMS). 15 to 20 Awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee.
 
The extraordinary growth of data-rich biology has created revolutionary opportunities for mathematically-driven advances in biological research. The Division of Mathematical Sciences in the Directorate for Mathematical and Physical Sciences at the National Science Foundation and the National Institute of General Medical Sciences at the National Institutes of Health plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need and urgency for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones.

Additional information is available in the full sponsor announcement.
PhRMAFoundation
PhRMA Foundation
Informatics Research Starter Grants 
Sponsor Deadline: September 1, 2016
OSP Deadline: August 25, 2016
Award Information: $100,000 for 1 year
 
The goal of the Informatics program is to promote development and use of informatics in an integrative approach toward understanding normal processes of human biology and disease processes. Informatics awards support career development of scientists engaged in research that significantly integrates state-of-the-art information technology developed with advanced biological, chemical, and pharmacological sciences in the following areas:
  • Genetics Proteomics
  • Molecular Systems Biology
  • Medical (human) Pathways and Networks
  • Pharmaco- Integrative Biology
  • Population Modeling and Simulation
Genomics Molecular Epidemiology
  • Functional
  • Structural
  • Toxico-
  • Pharmaco-
  • Comparative
Tenure-track assistant professors whose proposed research is neither directly nor indirectly subsidized to any significant degree by an extramural support mechanism are eligible to apply. All applicants must be U.S. citizens or permanent residents.

Additional information is available in the full sponsor announcement.
EDUCATION AND TRAINING 
AERAResearchGrants
American Educational Research Association (AERA) 
Research Grants
Sponsor Deadline: August 25, 2016
OSP Deadline: August 18, 2016
Award Information: Awards for Research Grants are up to $20,000 for 1 year projects, or up to $35,000 for 2 year projects
 
This program seeks to stimulate research on U.S. education issues using data from the large-scale, national and international data sets supported by the National Center for Education Statistics (NCES), NSF, and other federal agencies, and to increase the number of education researchers using these data sets. Applicants are encouraged to submit proposals that:
  • develop or benefit from new quantitative measures or methodological approaches for addressing education issues
  • include interdisciplinary teams with subject matter expertise, especially when studying science, technology, engineering and mathematics (STEM) learning
  • analyze TIMSS, PISA, or other international data resources
  • include the integration and analysis of more than one data set
Research projects related to at least one of the strands above and to science and/or mathematics education are especially encouraged. Other topics of interest include policies and practices related to student achievement in STEM, contextual factors in education, educational participation and persistence (kindergarten through graduate school), early childhood education, and postsecondary education.

Additional information is available in the full sponsor announcement.
NIHNIDDKT32
Interdisciplinary Training in Bioinformatics and Diabetes, Obesity and Metabolic Disease (T32)
Sponsor Deadline for Letters of Intent (requested): October 17, 2016
Sponsor Deadline for Full Proposals: November 17, 2016
OSP Deadline: November 10, 2016
Award Information: Application budgets are not limited, but need to reflect the actual needs of the proposed project. The grant offsets the cost of stipends, tuition and fees, and training related expenses, including health insurance, for the appointed trainees in accordance with the approved NIH support levels. The maximum project period is 5 years. 

The purpose of this FOA is to promote the development of an interdisciplinary workforce for conducting bioinformatics research in diabetes, obesity and related metabolic diseases that are relevant to the research mission of NIDDK. This FOA will support institutional training programs for predoctoral and postdoctoral level researchers with backgrounds in bioinformatics, mathematics and/or computational sciences with mentors from both computational and biological backgrounds.    
 
Additional information is available in the full sponsor announcement. 
NSFNCESResearchTraining
National Science Foundation (NSF) 
National Center for Science and Engineering Statistics (NCES)
Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Sponsor Deadline: January 17, 2017
OSP Deadline: January 10, 2017
Award Information: The anticipated funding amount is $750,000. Based on the quality of proposals and the availability of funds, NSF expects to make 7-12 awards.
 
The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and engineering enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports as well as analytical reports including the National Science Board's biennial report, Science and Engineering (S&E) Indicators, and Women, Minorities and Persons with Disabilities in Science and Engineering. The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets.  

NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise: Statistics and Surveys.

Additional information is available in the full sponsor announcement.
Contact Us:
Questions about this announcement or proposal submission may be directed to Jennifer Corby
(jcorby@fas.harvard.edu, 617-495-1590) or Susan Gomes (sgomes@fas.harvard.edu 617-496-9448).

 

For Research Development Support (Finding Funding, Proposal Development Resources), go to research.fas.harvard.edu/research-development-support