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.

News and Resources

The NIH, under the BD2K program, is launching a Data Commons Pilot Phase to test ways to store, access and share Findable, Accessible, Interoperable and Reusable (FAIR) biomedical data and associated tools in the cloud. The NIH Data Commons Pilot Phase is expected to span fiscal years 2017-2020, with an estimated total budget of approximately $55.5 Million, pending available funds.

BD2K is a trans-NIH initiative established to enable biomedical research as a digital research enterprise. In its first phase (FY2014-FY2017), it invested $200 million in grant awards to address some major data science challenges and to stimulate data-driven discovery. These awards will continue through award end dates, and lessons from this initial investment will help inform the second phase of the program (FY2018-FY2021), including the pilot program described above.

Working jointly with the BD2K Centers-Coordination Center (BD2KCCC) and the NIH Office of Data Science, the BD2K Training Coordinating Center (TCC) is spearheading a new virtual lecture series on the data science underlying modern biomedical research. The seminar series consists of weekly webinar presentations on Friday afternoons from 12:00-1:00pm EST covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to "big data" biomedicine. The seminar series provides essential training suitable for individuals at all levels of the biomedical community. All video presentations from the seminar series will be streamed for live viewing, recorded, and posted online for future viewing and reference. These videos will also be indexed as part of TCC's Educational Resource Discovery Index (ERuDIte), shared/mirrored with the BD2KCCC, and with other BD2K resources.

The Oregon Health & Science University (OHSU) Department of Medical Informatics & Clinical Epidemiology (DMICE) and Library are pleased to announce the release of open educational resources (OERs) in the area of Biomedical Big Data Science. Funded by a grant from the National Institutes of Health (NIH) Big Data to Knowledge (BD2K) Program, OERs have been produced that can be downloaded, used, and repurposed for a variety of educational audiences by both learners and educators. Development of the OERs is an ongoing process, but they have reached the point where a critical mass of the content is being made available for use and to obtain feedback. The OERs are intended to be flexible and customizable and their use or repurpose is encouraged. They can be used as "out of the box" courses for students or as materials for educators to use in courses, training programs, and other learning activities. The goal is to create 32 module topics.  

The BD2K Training Coordinating Center has been creating and populating the Educational Resource Discovery Index (ERuDIte), a database of 10,000+ data science educational resources from collective BD2K activities and from around the web. To learn more, visit http://www.bigdatau.org/ and find the ERuDite search box at the top of the page to access the database.

The National Science Foundation (NSF) is a leader in supporting Big Data research efforts. These efforts are part of a larger portfolio of Data Science activities. NSF initiatives in Big Data and Data Science encompass Research, Cyberinfrastructure, Education and Training, and Community Building.
Social Science
CiscoLegalImplications
Legal Implications for IoT, Machine Learning and Artificial Intelligence Systems
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission
Award Information:  Budgets depend on the institution and geography

This RFP seeks research focused on two dramatic trends in Information Technology. First, the advances in computational capacity and technology leading to an eventual development of autonomous computer systems that take action based on a core set of logic that changes over time; evolving the systems' actions, based on learning, so that the action taken today may not have been the action taken yesterday. This will lead to computer systems that may be allowed to take autonomous, continuously evolving, actions derived from decisions established without human definition or intervention. Machines taking actions, and perhaps machines taking actions that cause other machines to take actions, require law practitioners, judges and policy makers to consider the impacts on the application of civil, criminal, and statutory law.  The second key trend is a dramatic increase in the ability to create, transmit, analyze and collect data through the Internet of Things (IoT). As this data is produced, transferred, collected, and analyzed it raises new issues about whether the quantity and quality of the data changes our historical application of the laws of security, privacy, and the relation between citizens, consumers, companies and government. These new robust data streams create new challenges in data ownership, control, and security. Additionally, in cloud environments where most big data applications are deployed, data is often distributed across multiple data centers, geographic locations, and sometimes owners of infrastructure who exert control over the compute and storage functions themselves. How does this effect the legal definition of expectation of privacy, control, sovereignty, fair use and intellectual property?
DOJBJAFederalStats
US. Department of Justice
Bureau of Justice Statistics
Federal Justice Statistics Analytical Support Program
Sponsor Deadline: August 7, 2017 
OSP Deadline: July 31, 2017
Award Information:  BJS anticipates that it will make up to 1 award of up to $1 million for a 3-year performance period.

The Bureau of Justice Statistics' (BJS) Federal Justice Statistics Program (FJSP) collects, standardizes, and publishes statistics about the federal response to crime and the operation of the federal criminal justice system. The FJSP produces annual standard analysis files (SAFs), which document the federal criminal case processing stages from arrest to prosecution, pretrial release, adjudication, sentencing, appeals, and corrections. The FJSP also produces linking files that permit analysis of defendants and cases across stages of the federal criminal justice system. With this solicitation, BJS seeks an agent to implement the Federal Justice Statistics Analytical Support Program (FJSASP) project. This project is designed to provide scientific and technical support to BJS for methodological research, statistical analysis, and the generation of statistical reports using data from the FJSP. In addition, the FJSASP will work with BJS to identify additional sources of data to further enhance the FJSP (e.g., immigration enforcement and court statistics, enforcement data from federal regulatory agencies, civil data from the federal courts, and staffing and budget statistics).

There are three priority areas for this project: (1) using the FJSP data to address pressing substantive questions about the federal justice system through the production of statistical reports, (2) assessing the strengths and shortcomings of the FJSP data for federal criminal justice statistical reporting purposes and proposing and implementing methodological solutions to address deficiencies, and (3) identifying and assisting to integrate outside data sources with FJSP data files.
RSFCompSS
Computational Social Science
Sponsor Deadline for Letters of Inquiry (required): August 21, 2017
Sponsor Deadline for Full Proposals (if invited): November 15, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Up to $150,000 for up to 2 years

The Russell Sage Foundation's initiative on Computational Social Science (CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in Behavioral Economics, Future of Work, Race, Ethnicity and Immigration, and Social Inequality. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection. Funding is available for secondary analysis of data or for original data collection. RSF is especially interested in novel uses of new or under-utilized data and new methods for analyzing these data. Smaller projects might consist of a pilot study to demonstrate proof-of-concept. RSF encourages methodological variety and inter-disciplinary collaboration. Proposed projects must have well-developed conceptual frameworks and research designs. Analytical models must be specified and research questions and hypotheses (where applicable) must be clearly stated.
(Computer) Science & Engineering
CiscoIoThings
Secure and Private Internet of Things
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission
Award Information:  Budgets depend on the institution and geography

Connected Internet of Things (IoT) devices provide many new opportunities and benefits for manufacturers and consumers. The ubiquitous nature of IoT connectivity enables new use cases in connected manufacturing, connected cars, connected spaces, smart cities and other market verticals.  However, the security of IoT has not kept pace with the fast innovation and deployment of solutions creating significant safety and economic risks. The growing number of IoT devices, systems, and services increases the attack surface making the solutions more vulnerable to cyber-attacks. Recent Distributed Denial of Service (DDoS) attacks against Internet service providers and commercial entities were carried out by a diverse network of botnets made up of compromised set-top devices and other consumer products. Therefore, assuring the security of each component within an IoT solution is crucial in keeping malicious actors from using it in an unauthorized manner.  In addition, IoT devices enable massive data collection and analysis. The analysis of this data will allow previously unknown relationships between things to be discovered which causes a big concern for the privacy of individuals, businesses (including IP protection), groups, and governments. Since the analysis of data is essential for the value of IoT, strong consideration must be given to data privacy and data protection throughout its lifecycle.
DOCNIST
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 
OSP Deadline: 5 business days prior to submission
Award Information: $10,000-$500,000, with project periods of up to 5 years. In FY16, the ITL Grant Program funded 44 new awards totaling $6,179,898.
 
The ITL Grant Program provides financial assistance to support the conduct of research or a recipient's portion of collaborative research in the broad areas of Advanced Network Technologies, Big Data, Biometrics, Cloud Computing, Cyber-Physical Systems, Forensic Science, Information Access, Information Processing and Understanding, Cybersecurity, Health Information Technology, Human Factors and Usability, Applied and Computational Mathematics, Mathematical Foundations of Measurement Science for Information Systems, Metrology Infrastructure for Modeling and Simulation, Privacy Engineering, Software Testing, Statistics for Metrology and Statistical Methods in Forensic Science. See http://www.nist.gov/itl/ for more information about ITL. Proposals on product development and commercialization are not considered responsive to this funding opportunity. Financial support may be provided for conferences, workshops, or other technical research meetings that are relevant to the mission of ITL.
DODASFOR
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 - Information and Networks (RTA2) - Research Grants and Conference & Workshop Support
Sponsor Deadline: Rolling (current BAAs are active until superseded)
OSP Deadline: 5 business days prior to submission 
Award Information: Research proposals budgeting between $200,000 and $400,000 per year are encouraged. Most awards are 3 years in duration, and may not exceed 5 years. Conference and workshop grants up to $50,000 are also available. AFOSR commits the bulk of its funding by the fall of each year.

The Information and Networks Team within the Engineering and Information Science Branch is organized to support many U.S. Air Force priority areas including autonomy, space situational awareness, and cyber security. The research programs within this team lead the discovery and development of foundational issues in mathematical, information and network oriented sciences. They are organized along three themes: Information, Decision Making, and Networks.

The Information theme addresses the critical challenges faced by the U.S. Air Force which lie at the intersection of the ability to collect, mathematically analyze, and disseminate large quantities of information in a time critical fashion with assurances of operation and security. Closely aligned with the mathematical analysis of information is the need for autonomous Decision Making. Research in this theme focuses on the discovery of mathematical laws, foundational scientific principles, and new, reliable and robust algorithms, which underlie intelligent, mixed human-machine decision-making to achieve accurate real-time projection of expertise and knowledge into and out of the battle space. Information analysis and decision making rarely occur in the context of a single source. The Networks theme addresses critical issues involving how the organization and interaction among large collections of information providers and consumers contributes to an understanding of the dynamics of complex information systems.

In addition to research grants, AFOSR also provides partial support for conferences and workshops in areas of science that bring experts together to discuss recent research or educational findings, or to expose other researchers or advanced graduate students to new research and educational techniques in its areas of research interest. Proposals must be submitted at least 6 months prior to the conference or workshop start date to be considered.
DoDFY18MURI
United State Department of Defense (DOD)                 
Air Force Office of Scientific Research (AFOSR), Army Research Office (ARO), and Office of Naval Research (ONR)
Fiscal Year 2018 Multidisciplinary Research Program of the University Research Initiative (MURI) 
Sponsor Deadline: November 1, 2017
OSP Deadline: October 25, 2017
Award Information:  Typical annual funding per grant is in the $1.25M to $1.5M range for up to 5 years of support.  The total amount of funding for 5 years available for grants resulting from this MURI FOA is estimated to be approximately $170 million dollars pending out-year appropriations.

The Department of Defense (DoD) Multidisciplinary University Research Initiative (MURI), one element of the University Research Initiative (URI), is sponsored by the DoD research offices. Those offices include the Office of Naval Research (ONR), the Army Research Office (ARO), and the Air Force Office of Scientific Research (AFOSR). The MURI program supports basic research in science and engineering at U.S. institutions of higher education that is of potential interest to DoD. The program is focused on multidisciplinary research efforts where more than one traditional discipline interacts to provide rapid advances in fields of the physical, engineering, environmental, and life sciences related to long-term national security needs. DOD's MURI program addresses high risk basic research and attempts to understand or achieve something that has never been done before. Detailed descriptions of topics of interest to AFOSR, ARO and ONR are listed in the program solicitation.
DODAFRLArmamentTech
Air Force Research Laboratory (AFRL), Munitions Directorate
Armament Technology Broad Agency Announcement
Sponsor Deadline: Rolling through March 11, 2022
OSP Deadline: 5 business days prior to submission
Award Information: Award amounts will vary.  It is anticipated that the cumulative amount for awards issued under this BAA will not exceed $500,000,000.

AFRL/RW is the primary Air Force organization concerned with conventional munitions technology development. AFRL/RW plans and executes research, development, and test of conventional munitions, and supports conventional munitions Weapons Program Offices. There are three divisions within the Munitions Directorate that conduct research and development (R&D). They are the Ordnance Division, the Strategic Planning and Integration Division, and the Weapon Engagement Sciences Division.

The Ordnance Division's  Lethality, Vulnerability, and Survivability Branch (RWML) has several Research Areas, including Computational Mechanics.  Within this area, statistical and stochastic methods to generate special purpose fast running models from large-scale datasets produced with computational mechanics codes is an emerging need. 

This BAA is set up in two parts: (1) Basic Open BAA, in which white papers may be submitted at any time during the open period, and (2) CALL BAA, in which proposal CALL announcements may be issued. These subsequent CALLS will contain specific objectives and descriptions of the specific topic area to be addressed, anticipated period of performance, information peculiar to the specific topic area, and the expected dollar range for proposals received under a CALL.  This Basic Open BAA solicits white paper submissions. Those offerors whose white papers are found to be consistent with the intent of this BAA may later be invited to submit a technical and cost proposal.
DODAFRLUnivSmallGrants
Air Force Research Laboratory (AFRL), Directed Energy Directorate
University Small Grants Broad Agency Announcement
Sponsor Deadline: Rolling through April 2, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Multiple awards of grants up to $100,000 are anticipated with a period of performance ranging from 1-2 years.

The AFRL Directed Energy Directorate is interested in receiving proposals under this announcement in order to establish a university grant vehicle that can provide small grants to students/professors in a timely manner for the purpose of engaging U.S./U.S. territories' colleges and universities in directed energy-related basic, applied, and advanced research projects that are of interest to the Department of Defense. The scope of the research will include the entire spectrum of directed energy technology that is applicable to the Air Force, including all tangentially-related directed energy research. The research shall include, but not be limited to: lasers; optics and beam control; high power microwaves, and directed energy effects, modeling and simulation. 

AFRL's Weapons Modeling and Simulation Core Technology Competency includes efforts to improve the fundamental understanding of HPM, lasers, beam control, and space situational awareness (SSA) through effects research and development of multi-level modeling and simulation tools, and application of high performance computing and advanced numerical simulations to represent directed energy and SSA capabilities.  
DoDARLBAA2017to2022
Army Research Laboratory (ARL)
Broad Agency Announcement for Basic and Applied Scientific Research for Fiscal Years 2017 through 2022
Sponsor Deadline: Rolling (current BAA is active until March 31, 2022 or until superseded)
OSP Deadline: 5 business days prior to submission 

The U.S. Army Research Laboratory (ARL) is the Department of the Army's corporate laboratory and sole fundamental research laboratory. The ARL BAA identifies topics of interest to the ARL Directorates (Computational and Information Sciences Directorate, Human Research and Engineering Directorate, Sensors and Electron Devices Directorate, Survivability/Lethality Analysis Directorate, Vehicle and Technology Directorate, and Weapons and Materials Research Directorate). The Directorates focus on executing in-house research programs, with a significant emphasis on collaborative research with other organizations in an Open Campus setting. The Directorates fund a modest amount of extramural research in certain specific areas, and those areas are described in this BAA.

The ARL BAA seeks proposals from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses) for research based on the following S&T campaigns: Computational Sciences, Materials Research, Sciences for Maneuver, Information Sciences, Sciences for Lethality and Protection, Human Sciences, and Assessment and Analysis. Please see the BAA for a more detailed description of these topic areas. Proposals are sought for cutting-edge innovative research that could produce discoveries with a significant impact to enable new and improved Army technologies and related operational capabilities and related technologies. The specific research areas and topics of interest should be viewed as suggestive, rather than limiting. 
DoDAROBAA2017to2022
Army Research Office (ARO)
Broad Agency Announcement (BAA) for Basic and Applied Scientific Research for Fiscal Years 2017 through 2022
Sponsor Deadline: Rolling (current BAA is active until March 31, 2022 or until superseded)
OSP Deadline: 5 business days prior to submission 

The purpose of this BAA is to solicit research proposals in the engineering, physical, life, and information sciences for submission to the Army Research Office (ARO) for consideration for possible funding. ARO is focused exclusively on extramural basic research, and is responsible for the vast majority of ARL's extramural research programs and funding.

Proposals are sought from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e. large and small businesses) for scientific research in mechanical sciences, mathematical sciences, electronics, computing science, physics, chemistry, life sciences, materials science, network science, and environmental sciences.

In addition to standard research grants, the following funding mechanisms are also available: 
  1. Short-Term Innovative Research (STIR) Program grants of $60k or less to support rapid, short-term investigations to assess the merit of innovative new concepts in basic research. 
  2. Young Investigator Program to attract outstanding young university faculty members to pursue fundamental research in areas relevant to the Army. This program is open to U.S. citizens, U.S. Nationals, and Permanent Resident Aliens holding tenure-track positions at U.S. institutions of higher education, who have held their graduate degrees (Ph.D. or equivalent) for fewer than five years at the time of application. Proposals may be submitted at any time. YIP awards will not exceed $120,000 per year for three years. 
  3. Research Instrumentation to improve the capabilities of U.S. institutions of higher education to conduct research and educate scientists and engineers in areas important to national defense. Of the funds available to support ARO mission research described in this BAA, funds may be provided to purchase instrumentation in support of this research or in the development of new research capabilities.
  4. Conference and Symposia Grants in areas of science that bring experts together to discuss recent research or educational findings or to expose other researchers or advanced graduate students to new research and educational techniques.
  5. High School Apprenticeship Program (HSAP)/Undergraduate Research Apprenticeship Program (URAP) - The HSAP funds the Science, Technology, Engineering, and Mathematics (STEM) apprenticeship of promising high school juniors and seniors to work in a university structured research environment under the direction of ARO sponsored PIs serving as mentors. The URAP provides similar opportunities for undergraduate students.
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I2O) Broad Agency Announcement  
Sponsor Deadline:  Rolling through August 25, 2017
OSP Deadline: 5 business days prior to submission
Award Information:  A limited number of awards are anticipated. The level of funding for individual awards made available under this BAA has not been predetermined and will depend on the quality of the proposals received and the availability of funds.
 
The Information Innovation Office (I2O) develops game-changing information science and technology to ensure information advantage for the U.S. and its allies. To accomplish this, I2O sponsors basic and applied research in three thrust areas: Cyber, Analytics and Symbiosis. 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.

This BAA seeks revolutionary research ideas for topics not being addressed by ongoing I2O programs or other published solicitations. Potential proposers are highly encouraged to review the current I2O programs ( http://www.darpa.mil/about-us/offices/i2o) and solicitations ( http://www.darpa.mil/work-with-us/opportunities) to avoid proposing efforts that duplicate existing activities or that are responsive to other published I2O solicitations.
DODDARPASTO
Defense Advanced Research Projects Agency (DARPA)
Strategic Technology Office (STO) Broad Agency Announcement  
Sponsor Deadline: Rolling (current BAA is active until March 21, 2018)
OSP Deadline: 5 business days prior to submission
Award Information: The amount of resources made available under this BAA will depend on the quality of the proposals received and the availability of funds.  Multiple awards are anticipated.
 
DARPA is seeking innovative ideas and disruptive technologies that provide the U.S. military significant capability improvement to dominate across all scales of conflict intensity. These span highly contested force-on-force conflicts to ambiguous, complex "Gray Zone" conflicts. Technologies should support conflicts that may take place in a range of environments from austere, remote locations to dense megacities. The Strategic Technology Office (STO) focus areas within these broader objectives include: Situation Understanding, Multi-Domain Maneuver, Hybrid Effects, System of Systems (SoS), Maritime Systems, System of System Enhanced Small Units (SESU), and Foundational Strategic Technologies and Systems.

Topic areas of specific interest include: Planning and Control. Within this area, DARPA is seeking innovative technology to support Gray Zone operational planning. This may include technology that will let operators develop and evaluate multi-domain courses of action (COAs) that employ a wide range of physical, infrastructure, electro-magnetic, cyber, and cognitive domain effects. Of particular interest are novel concepts merging cognitive science and big data analytics to provide planners quantitative tests of their intuition.

Applicants are strongly encouraged to submit an Executive Summary and/or Abstract in advance of a full proposal.
DODDTRA
United States Department of Defense (DOD)
Defense Threat Reduction Agency (DTRA)
Fundamental Research to Counter Weapons of Mass Destruction
Sponsor Deadline: Rolling (current BAA is active until September 2024 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: Grants may range from small dollar value (e.g., $25K) up to $1M in total costs annually. Efforts may be proposed for up to 5 years. 

DODERDC
U.S. Army Engineer Research and Development Center (ERDC)
2017 Broad Agency Announcement
Sponsor Deadline: Rolling (current BAA is active until January 31, 2018 or until superseded)
OSP Deadline: 5 business days prior to submission 
 
DODNGA
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.
DODNRL
Naval Research Laboratory (NRL)
NRL Broad Agency Announcement
Sponsor Deadline for White Papers : 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
  • Mathematical Foundations of High Assurance Computing 
  • Federated, Distributed Computing/Network Infrastructure 
  • High Performance Computing on Massively Parallel Architectures 
  • Atmospheric Effects, Analysis, and Prediction
DODONR
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, 2017 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.
DoDONRBasicResChallenge
United States Department of Defense (DOD)
Office of Naval Research (ONR)
FY18 Basic Research Challenge Program
Sponsor Deadline for White Papers (required): August 18, 2017
Sponsor Deadline for invited Full Proposals: November 17, 2017
OSP Deadline: 5 business days prior to submission
Award Amount: Varies by Topic Area. Awards in Topic Area 1 will average $500,000 per year for 4 years. 2-4 awards are anticipated in this Area for a total award budget of $6M.
 
The Office of Naval Research (ONR) is interested in receiving proposals for basic research relating to four Topic Areas including: Randomized Numerical Linear Algebra for Large-Scale, Efficient Matrix Computations (Topic 1). The discovery of algorithms based on randomized projections that reduce the effective dimensionality of the problem has reinvigorated numerical linear algebra research. Randomized algorithms are a radical departure from standard methods, because they use techniques such as random sampling of large data matrices and "random projection matrices" as fundamental computational resources. It is very likely that new randomized algorithms will dramatically change how we perform linear algebraic computations. The main objective of this BRC is to improve our mathematical understanding of randomized projections and develop a new set of computational tools to attack important and ubiquitous problems in data and physical sciences.

Research areas that will achieve this objective include (1) Rigorous mathematical framework that improves our mathematical understanding of randomized projections; (2) Combining randomized projections with additional structures to develop a geometric sketch of the dataset, allowing for high-accuracy classical methods to be brought in to operate directly on the original data obtaining high-accuracy results; and (3) New methods that exploit randomized algorithms applied in the context of forward and backward scattering for simulating fluid flows, fluids-structure interactions, acoustic propagation, and modeling advanced composite materials, to name a few. Possible performers would most likely be small research groups with expertise in applied mathematics, computer science and signal processing.
DoDONRFY18VannevarBush
United States Department of Defense (DOD)
Office of Naval Research (ONR)
FY18 Vannevar Bush Faculty Fellowship
Sponsor Deadline for Acqutrak Registration: August 14, 2017
Sponsor Deadline for White Papers (required): August 16, 2017
Sponsor Deadline for invited Full Proposals: January 8, 2018
OSP Deadline: 5 business days prior to submission
Award Amount: Up to $3M over 5 years
 
The Vannevar Bush Faculty Fellowship (VBFF) program supports innovative basic research within academia, as well as opportunities intended to develop the next generation of scientists and engineers for the defense workforce. This FOA seeks distinguished researchers for the purpose of conducting innovative basic research in areas of interest to the DoD and fostering long-term relationships between the VBFF Fellows and the DoD. VBFF is oriented towards bold and ambitious "blue sky" research that may lead to extraordinary outcomes such as revolutionizing entire disciplines, creating entirely new fields, or disrupting accepted theories and perspectives. The PI must be a U.S. citizen or permanent resident.
 
This FOA is for single investigator grant proposals for basic research in technical subject categories including the following with relevance to Big Data: Quantum Information Science; Cognitive Neuroscience; and Applied Mathematics (theory and experiments) and Statistics.
DoDONRYIPFY18
United States Department of Defense (DOD)
Office of Naval Research (ONR)
FY18 Young Investigator Program (YIP)
Sponsor Deadline: September 15, 2017
OSP Deadline: September 8, 2017
Award Amount: Up to $170,000 per year for 3 years. Additional funds for capital equipment may be requested for the first budget period based on the needs of the research. As an incentive for becoming involved with other Department of the Navy research activities, the Office of the Director of Research of ONR may match on a 1-for-1 basis, the first $25,000 of additional Department of the Navy funding which a successful applicant obtains each year to support additional, collaborative research with a Navy laboratory during the YIP award.  
 
ONR's Young Investigator Program (YIP) seeks to identify and support academic scientists and engineers who are in their first or second full-time tenure-track or tenure-track equivalent academic appointment, have begun their first appointment on or after 31 December 2012, and who show exceptional promise for doing creative research. The Principal Investigator of a proposal must be a U.S. citizen, national, or permanent resident (on the date proposals are due). The objectives of this program are to attract outstanding faculty members of Institutions of Higher Education to the Department of the Navy's Science and Technology (S&T) research program ( including the Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance program described above), to support their research, and to encourage their teaching and research careers.

Applicants are STRONGLY ENCOURAGED to contact the appropriate Program Officer who is the  point of contact for a specific technical area to discuss their research ideas. A list of most Program  Officers and their contact information can be found at: https://www.onr.navy.mil/en/Science-Technology/Contacts.  Brief informal pre-proposals may be submitted to facilitate these discussions but are not required.
ArmyNightVision
United States Department of Defense (DOD)
U.S. Army Research, Development & Engineering Command (RDECOM)
Broad Agency Announcement for Night Vision Technologies
Sponsor Deadline: Rolling (current BAA is active through FY19 - see below for program-specific deadlines)
OSP Deadline: 5 business days prior to submission
Award Information: There is no "a priori judgment" regarding the number or size of individual awards or the allocation of total research and development funds across the technology solutions. The desired period of performance for awards is 2 years. 

FY 2017 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, 2017 or until superseded)
OSP Deadline: 5 business days prior to submission
Award information: Awards in FY15 ranged from $2,000/year to $4,000,000/year. It is anticipated that approximately $400 million will be available for DOE Office of Science new, renewal, continuing, and supplemental grant and cooperative agreement awards under this and other, more targeted FOAs in FY 2017. Approximately 200-350 new awards will be funded. Awards are expected to be made for a project period of 6 months to 5 years as befitting the project, with the most common project period being 3 years in duration. 

IARPABAA
Intelligence Advanced Research Projects Activity (IARPA)
IARPA-Wide Research BAA
Sponsor Deadline: Rolling (current solicitation is active until May 2, 2018 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.

MicrosoftAzure
Microsoft Azure for Research
Sponsor Deadlines: August 15, 2017; October 15, 2017
OSP Deadline: 5 business days prior to submission
Award Information:  Microsoft provides the researcher a specified dollar amount of Azure credits that they can then expend for any of the available 
Azure services  (VMs, Storage, DB, Hadoop, Spark, Containers, etc.). The research grants do not include direct monetary or cash awards.
 
NASAStennisCAN2017
Cooperative Agreement Notice (CAN) 2017 Dual Use Technology Development at NASA John C. Stennis Space Center
Sponsor Deadline: September 30, 2017
OSP Deadline: September 23, 2017 
Award Information: Award amount will be $25,000-$75,000 for 12 months. Partners must contribute an equal value of resources to match the NASA funding for the project. Partner contributions may be cash, non-cash or both.

NSFABI
Directorate for Biological Sciences (BIO)
Advances in Biological Informatics (ABI)
Sponsor Deadline: September 8, 2017
OSP Deadline: August 31, 2017
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. 
NSFAMPowerSystems
Directorate for Mathematical and Physical Sciences (MPS)
Algorithms for Modern Power Systems (AMPS)
Sponsor Deadline: February 12, 2018
OSP Deadline: February 5, 2018
Award Information Estimated number of awards and funding amounts are subject to the availability of funds. A total of $1,200,000 is anticipated to support 4-10 awards. 
 
The Algorithms for Modern Power Systems (AMPS) program will support research projects to develop the next generation of mathematical and statistical algorithms for improvement of the security, reliability, and efficiency of the modern power grid. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the Office of Electricity Delivery & Energy Reliability (OE) at the U.S. Department of Energy (DOE).

The program encourages interdisciplinary efforts, with the involvement of experts in a variety of disciplines such as power system engineering, mathematics, statistics, and financial mathematics. Research topics could include, but are not limited to: new statistical and uncertainty-analysis-based methods that provide probabilistic or robust performance guarantees accounting for uncertainty and fluctuations in loads, generation, and other components of the system; methods for characterizing and controlling resiliency and reliability; probabilistic approaches to manage risk and uncertainty, uncertainty quantification; model reduction; model validation; anomaly detection; data analytics; risk hedging; network theory; and computational methods that are scalable without sacrificing performance.
NSFCRI
Directorate for Computer & Information Science & Engineering (CISE)
CISE Research Infrastructure (CRI)
Sponsor Deadline for Preliminary Proposals (required): November 14, 2017
Sponsor Deadline for Full Proposals: January 17, 2018
OSP Deadline: 5 business days prior to submission
Award Information The majority of the II awards will be made in the $200,000-$750,000 range, though a small number of II awards may be made in the $750,000-$1,000,000 range. The majority of the CI awards will be made in the $500,000-$1,000,000 range, though a very small number of CI awards may be made in the $1,000,000-$2,500,000 range. The majority of the Community Infrastructure Planning (CI-P) awards will be made in the $50,000-$100,000 range.  
 
The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions 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. 

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.

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 to enable world-class CISE research opportunities at the awardee and collaborating institutions.
  • 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.
NSFCDSE
National Science Foundation (NSF)
Computational and Data-Enabled Science and Engineering (CDS&E)
Sponsor Deadline: Varies by program  
OSP Deadline: 5 business days prior to submission
Award Information Varies by program.  Supplement requests to existing awards will be considered in addition to proposals for new awards.
 
The goal of the CDS&E program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data analysis approaches. The intellectual drivers may be in an individual discipline or they may cut across more than one discipline in various Directorates. The key identifying factor is that the outcome relies on the development, adaptation, and utilization of one or more of the capabilities offered by advancement of both research and infrastructure in computation and data, either through cross-cutting or disciplinary programs. The CDS&E program is not intended to replace existing programs that make awards that involve computation and the analysis of large data sets. Rather, the CDS&E program is meant to fund awards that have a significant component of cyber development or cyber science that goes well beyond what would normally be included in these programs. 

The CDS&E program welcomes proposals in any area of research supported through the participating divisions that address at least one of the following criteria:
  • Promote the creation, development, and application of the next generation of mathematical, computational and statistical theories and tools that are essential for addressing the challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation and the explosion and production of digital experimental and observational data.
  • Promote and encourage integrated research projects that create, develop and apply novel computational, mathematical and statistical methods, algorithms, software, data curation, analysis, visualization and mining tools to address major, heretofore intractable questions in core science and engineering disciplines, including large-scale simulations and analysis of large and heterogeneous collections of data.
  • Encourage adventurous ideas that generate new paradigms and that create and apply novel techniques, generating and utilizing digital data in innovative ways to complement or dramatically enhance traditional computational, experimental, observational, and theoretical tools for scientific discovery and application.
  • Encourage ideas at the interface between scientific frameworks, computing capability, measurements and physical systems that enable advances well beyond the expected natural progression of individual activities, including development of science-driven algorithms to address pivotal problems in science and engineering and efficient methods to access, mine, and utilize large data sets.
NSFCDSEEMSS
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 Submission Window: November 25-December 11, 2017
OSP Deadline: 5 business days prior to submission
Award Information : Award size and duration will be commensurate with the scope of the proposed 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. This program is part of the wider Computational and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that seeks to address this emerging discipline.  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.
NSFCISECRII
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Computer and Information Science and Engineering (CISE) Research Initiation Initiative  (CRII)
Sponsor Deadline: August 9, 2017
OSP Deadline: August 2, 2017
Award Information : U p to $175,000 for up to 2 years. CISE expects to make 55 to 60 awards each year.
 
With the goal of encouraging research independence immediately upon obtaining one's first academic position after receipt of the PhD, the Directorate for Computer and Information Science and Engineering (CISE) will award grants to initiate the course of one's independent research. 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, including from the CAREER program or any other program, post-PhD, regardless of the size of the grant or contract, with certain exceptions. Serving as co-PI, Senior Personnel, Postdoctoral Fellow, or other Fellow does not count against this eligibility rule. Grants, contracts, or gifts from private companies or foundations; state, local, or tribal governments; or universities do not count against this eligibility rule.  

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, submissions from all institutions may use funds for postdoctoral scholars, travel, and/or research equipment.  A PI may submit one proposal per annual competition. In addition, a Principal Investigator may not participate in more than two CRII competitions.
NSFCNS
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Computer and Network Systems (CNS): Core Programs
Sponsor Submission Windows: September 20-27, 2017 for Medium and Large Projects; November 1-15, 2017 for Small Projects
OSP Deadline: 5 business days prior to submission
Award Information:  Small Projects will be funded  up to $500,000 total budget with durations up to 3 years. Medium Projects will be funded from  $500,001 to $1,200,000 total budget with durations up to 4 years. Large Projects will be funded from  $1,200,001 to $3,000,000 total budget with durations up to 5 years.  Up to $60 million each year will support up to a total of 150 awards.
 
CISE's Division of Computer and Network Systems (CNS) supports research and education projects that develop new knowledge in two core programs:
  • Computer Systems Research (CSR) program; and
  • Networking Technology and Systems (NeTS) program.
CSR proposals must be in the Small or Medium classes only; NeTS proposals may be in the Small, Medium, or Large class.
NSFCCF
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Computing and Communication Foundations (CCF): Core Programs
Sponsor Submission Windows: September 20-27, 2017 for Medium Projects; November 1-15, 2017 for Small Projects
OSP Deadline: 5 business days prior to submission
Award Information:  Small Projects will be funded  up to $500,000 total budget with durations up to 3 years. Medium Projects will be funded from  $500,001 to $1,200,000 total budget with durations up to 4 years. Up to $100 million each year will support up to a total of 250 awards.
 
CISE's Division of Computing and Communication Foundations (CCF) supports research and education projects that develop new knowledge in three core programs:
  • The Algorithmic Foundations (AF) program;
  • The Communications and Information Foundations (CIF) program; and
  • The Software and Hardware Foundations (SHF) program.
NSFCESER
National Science Foundation (NSF)
Directorate for Computer & Information Science & Engineering (CISE)
Cyberinfrastructure for Emerging Science and Engineering Research (CESER)
Sponsor Deadline: Rolling
OSP Deadline: 5 business days prior to submission
Award Information: Varies by award mechanism

The overall goal of the Cyberinfrastructure for Emerging Science and Engineering Research (CESER) program is to foster the development of innovative cyberinfrastructure (CI) technologies and new means of leveraging existing CI resources to catalyze emerging areas of potentially transformative science and engineering research, including NSF priority areas, national strategic initiatives, and international collaborative research.  A key programmatic objective of CESER is to support early-stage efforts by collaborative teams of domain scientists and cyberinfrastructure developers/implementers to identify and address cyberinfrastructure needs in new research areas through the development and deployment of pilot, experimental, and innovative hardware or software systems or other unique cyberinfrastructure activities that enable new pathways to discovery.  Another program objective is to encourage holistic, systematic, and multidisciplinary CI approaches to address new opportunities to enable science and engineering research. Projects that integrate multiple cyberinfrastructure disciplines - such as computing, data infrastructure, software, workflow systems, and networking - to address an emerging scientific challenge are particularly welcomed. CESER will also support projects that aim to expand the spectrum of research disciplines that, and users who, engage and contribute to a dynamic and enduring national research cyberinfrastructure ecosystem.

Eligible projects and unique activities should address a clearly identified and described scientific rationale, explain and support the potential for transformative impacts on science or engineering research, research training, education or broader impacts, and provide a convincing explanation of why the project is not suitable for other NSF programs or solicitations.

CESER variously employs existing NSF funding mechanisms to accomplish the program's goals such as support for EArly-concept Grants for Exploratory Research (EAGER), Conferences (workshops), Research Coordination Networks (RCNs), and targeted solicitations. Before developing a proposal intended for this program, investigators are strongly encouraged to discuss their ideas with the cognizant program officer associated with the CESER program to ensure that CESER is the appropriate venue for the proposal. 
NSFD3SC
National Science Foundation (NSF)
Directorate for Mathematical & Physical Sciences (MPS)
Dear Colleague Letter: Data-Driven Discovery Science in Chemistry (D3SC)
Sponsor Deadline:  Varies by program
OSP Deadline: 5 business days prior to submission
Award Information: Varies by program
 
NSF's Division of Chemistry (CHE) invites submission of research proposals that seek to capitalize on the data revolution and promote data-driven discoveries to advance fundamental understanding of complex chemical systems. Successful D3SC proposals will emphasize new information that can be obtained from better utilization of data (including data from multiple laboratories, techniques, and/or chemical systems), and how this can lead to new research directions. Proposals that foster and strengthen interactions among chemists (especially experimental chemists) and data scientists to advance research goals are strongly encouraged. The most competitive proposals will provide detailed discussion of specific data-enabled approaches to be used, the significant chemical problem to be studied, new fundamental chemical knowledge to be gained, as well as the broader relevance of the proposed activities to other areas of chemical research. Proposal elements that consider error and uncertainty analysis, record and store appropriate metadata, and determine the robustness and reliability of data are encouraged. 

Proposals in response to this DCL should be submitted to the existing program of interest in CHE during the existing submission windows (deadlines) of the programs. The proposal title must be tagged with "D3SC:". Other than the proposal title, the cover page should be prepared as a regular proposal submission to the program. Principal Investigators (PIs) are strongly encouraged to contact the cognizant D3SC Program Officers prior to submission to determine the appropriateness of the work for consideration.
NSFJSTCollabResearch
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Dear Colleague Letter: National Science Foundation (NSF)-Japan Science and Technology Agency (JST) Collaborative Research
Sponsor Deadline for Initial Inquiries (required): August 25, 2017
Sponsor Deadline for invited Supplemental Requests: October 15, 2017
OSP Deadline: 5 business days prior to submission
Award Information: Supplemental funding requests of  up to $15,000 each, covering travel, lodging and subsistence;  CISE anticipates awarding up to 10 such requests in FY 2018
 
NSF's Directorate for Computer and Information Science and Engineering (CISE) and the Japan Science and Technology Agency's (JST) Big Data Priority Program seek to expand their cross-agency research efforts in the areas of big data and cyber-physical systems (CPS). With this Dear Colleague Letter, NSF/CISE is encouraging the submission of supplemental funding requests to strengthen and expand collaborations between NSF- and JST-funded PIs in shared priority areas. Supplemental funding to active NSF awards is intended to enable US-based researchers (i.e., PIs and co-PIs, postdoctoral fellows, and graduate students) to collaborate with Japan-based researchers currently funded by JST. NSF is encouraging new collaborations or the participation of new researchers in existing collaborations with strong topical linkages between one or more of a select group of NSF programs and the corresponding JST Priority Programs (see DCL for a complete list of these programs).
NSFExpeditions
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Expeditions in Computing
Sponsor Deadline for Preliminary Proposals (required): April 25, 2018
Sponsor Deadline for invited Full Proposals: January 16, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Up to $2M per year for 5 years. 2-4 awards will be made in each competition.
 
The Directorate for Computer and Information Science and Engineering (CISE) has created the Expeditions in Computing (Expeditions) program to provide the CISE research and education community with the opportunity to pursue ambitious, fundamental research agendas that promise to define the future of computing and information.  In  planning  Expeditions  projects, investigators are encouraged to come together within or across departments or institutions to combine their creative talents in the identification of compelling, transformative research agendas that promise disruptive innovations in computing and information for many years to come.

Expeditions represent some of the largest single investments currently made by the directorate. Together with the Science and Technology Centers CISE supports, Expeditions form the centerpiece of the directorate's center-scale award portfolio. With awards funded at levels that promote the formation of research teams, CISE recognizes that concurrent research advances in multiple fields or sub-fields are often necessary to stimulate deep and enduring outcomes.The awards made in this program will complement research areas supported by other CISE programs, which target particular computing or information disciplines or fields.
NSFIIF
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Information and Intelligent Systems (IIS): Core Programs
Sponsor Submission Windows: September 20-27, 2017 for Medium and Large Projects; November 1-15, 2017 for Small Projects
OSP Deadline: 5 business days prior to submission
Award Information:  Small Projects will be funded  up to $500,000 total budget with durations up to 3 years. Medium Projects will be funded from  $500,001 to $1,200,000 total budget with durations up to 4 years. Large Projects will be funded from $1,200,001 to $3,000,000 total budget with durations up to 5 yearsUp to $100 million each year will support up to a total of 200 awards.
 
CISE's Division of Information and Intelligent Systems (IIS) supports research and education projects that develop new knowledge in three core programs:
  • The Cyber-Human Systems (CHS) program;
  • The Information Integration and Informatics (III) program; and
  • The Robust Intelligence (RI) program.
Proposals in the area of computer graphics and visualization may be submitted to any of the three core programs described above.
NSFNIHBioMathResearch
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 
Sponsor Submission Window: September 1-18, 2017
OSP Deadline: 5 business days prior to submission
Award Information:  $100,000-$400,000 (total costs) per year with durations of 3-5 years.  Up to $5M per year will be made available for a total of 12-20 new awards (up to $2,000,000 from NSF and up to $3,000,000 from NIGMS). Awards may be made by either NSF or NIH at the option of the agencies, not the grantee.
 
The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. The extraordinary growth of data-rich biology has created opportunities for revolutionary mathematically-driven advances in biological research. Both agencies recognize the need 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.
NSFMacroSysNEONScience
National Science Foundation (NSF)  
Directorate for Biological Sciences (BIO)
MacroSystems Biology and Early NEON Science
Sponsor Deadline: October 16, 2017
OSP Deadline: October 6, 2017
Award Information: Early Career Awards (ECA) will be made up to $300,000 over 2 years. The b udget and duration (up to 5 years) for Full Research Awards (FRA) and Early NEON Science Awards (ENSA) should reflect the scope and complexity of the work proposed.  
 
The MacroSystems Biology and Early NEON Science: Research on Biological Systems at Regional to Continental Scales program will support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales as well as planning, training, and development activities to enable groups to conduct MacroSystems Biology and Early NEON Science research. Proposals should include quantitative research approaches such as mathematical or computational models, numerical simulations, artificial intelligence techniques, statistics, visualization, or database development. Proposals are encouraged for the development and/or integration of macrosystems models (e.g., data-assimilation, biological, ecological, environmental) that connect local, regional, and continental scales. These models should address key problems linking ecological and evolutionary processes over a variety of spatial and temporal scales. Projects should develop theoretical foundations that will be useful for modeling based on either existing data and/or data to be collected by existing or planned environmental observatories. Mathematical models should include appropriate estimates of uncertainty, and experiments should assess power and precision.

Three categories of awards will be made:
Category 1: Early Career Awards (ECA). Awards to early career scientists employing innovative and creative approaches to advance understanding of regional to continental scale processes and cross-scale interactions. Individuals must hold an appointment as an Assistant Professor at a U.S. academic institution at the time of proposal submission. Proposers must hold a doctorate degree by the deadline date and be untenured until October 1 following the deadline.
Category 2: Full Research Awards (FRA). Awards to support Macrosystems Biology Research or Innovative Training to conduct MacroSystems research.
Category 3: Early NEON Science Awards (ENSA). Grants that do not otherwise fit into the macrosystems biology focus on regional to continental scale questions, but 1) use or leverage NEON data and/or NEON samples/specimens to address innovative ecological or other biological questions, and/or 2) develop analytic or computational tools that enhance the use and value of NEON data. 
NSFPRAC
National Science Foundation (NSF)  
Directorate for Computer & Information Science & Engineering (CISE)
Petascale Computing Resource Allocations (PRAC)
Sponsor Deadline: November 6, 2017
OSP Deadline: October 30, 2017
Award Information: Awards will consist of  allocations to access Blue Waters to support the proposed research, along with limited travel funds (up to $15,000 for 1 year). 12-15 awards are anticipated.   
 
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. 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.

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.
NSFRETEngCompScience
National Science Foundation (NSF)
Research Experiences for Teachers (RET) in Engineering and Computer Science
Sponsor Deadline: October 10, 2017 for RET Site Applications; RET Supplements may be requested at any time by holders of active ENG or CISE awards or in conjunction with the submission of a proposal for a new ENG or CISE award
OSP Deadline: 5 business days prior to submission
Award Information:  The maximum total request for a Site is $600,000 for a duration of up to 3 years. Supplements are limited to a maximum of $10,000 per teacher and/or community college faculty for a duration of 1 year.  The total anticipated funding in FY 2018, FY 2019 and FY 2020 for both Sites and Supplements is approximately $5,800,000 per year. 
 
NSF's Directorate for Engineering (ENG) and the Directorate for Computer and Information Science and Engineering (CISE) have joined to support the Research Experiences for Teachers (RET) in Engineering and Computer Science program. This program supports active long-term collaborative partnerships between K-12 Science, Technology, Engineering, Computer and Information Science, and Mathematics (STEM) in-service and pre-service teachers, full-time community college faculty, and university faculty and students to enhance the scientific disciplinary knowledge and capacity of the STEM teachers and/or community college faculty through participation in authentic summer research experiences with engineering and computer science faculty researchers. The research projects and experiences all revolve around a focused research area related to engineering and/or computer science that will provide a common cohort experience to the participating educators. The K-12 STEM teachers and/or full-time community college faculty also translate their research experiences and new scientific knowledge into their classroom activities and curricula. The university team will include faculty, graduate and undergraduate students as well as industrial advisors. Involvement of graduate students in support of academic-year classroom activities is particularly encouraged.  Partnerships with inner city, rural or other high needs schools are especially encouraged, as is participation by underrepresented minorities, women, veterans, and persons with disabilities.

This announcement features two mechanisms for support of in-service and pre-service K-12 STEM teachers and full-time community college faculty: (1) RET supplements to ongoing ENG and CISE awards and (2) new RET Site awards. RET supplements may be included outside this solicitation in proposals for new or renewed ENG and CISE grants or as supplements to ongoing ENG- and CISE-funded projects. RET in Engineering and Computer Science Sites, through this solicitation, are based on independent proposals from engineering and/or computer and/or information science departments, schools or colleges to initiate and conduct research participation projects for K-12 STEM teachers and/or full-time community college faculty. Please note that this is a limited submission opportunity and institutions may submit a maximum of three applications to host an RET Site. If you are interested in applying, please contact Erin Hale at erin_hale@fas.harvard.edu
NSFSaTCJuly17
Secure and Trustworthy Cyberspace (SaTC)
Sponsor Proposal Windows: October 3-10, 2017 for Medium projects;  October 13-20, 2017 for Frontier projects; November 1-15, 2017 for Small projects; December 6-13, 2017 for Cybersecurity Education projects
OSP Deadline: 5 business days prior to submission
Award Information:  Small projects may request up to $500,000 total budget with durations up to 3 years. Medium projects may request $500,001 to $1,200,000 total budget with durations up to 4 years. Frontier projects may request $5,00,000 to $10,000,000 total budget with durations up to 5 years. Education projects may request up to $300,000 total budget for up to 2 years.  In FY 2018, NSF anticipates approximately 10 Education awards, 50 Small awards, 25 Medium awards and 1-2 Frontier awards.
 
The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both encouraged.
 
Proposals must be submitted pursuant to one of the following designations:
  • CORE: This designation is the main focus of the SaTC research program, spanning the interests of NSF's Directorates for Computer and Information Science and Engineering (CISE), Engineering (ENG), Mathematical and Physical Sciences (MPS), and Social, Behavioral and Economic Sciences (SBE). Interdisciplinary proposals are welcomed to CORE.
  • EDU: The Education (EDU) designation will be used to label proposals focusing entirely on cybersecurity education. 
  • STARSS: The Secure, Trustworthy, Assured and Resilient Semiconductors and Systems (STARSS) designation will be used to label proposals that are submitted to the joint program focused on hardware security with the Semiconductor Research Corporation (SRC). The STARSS designation may only be used for Small proposals. This designation has additional administrative obligations.
  • TTP: The Transition to Practice (TTP) designation will be used to label proposals that are focused exclusively on transitioning existing research results to practice. The TTP designation may only be used for Small and Medium proposals. 
NSFSI2
Software Infrastructure for Sustained Innovation (SI2)
Sponsor Deadline: September 19, 2017 (for SSI proposals)
OSP Deadline: September 12, 2017
Award Information: SSI awards range from $200,000-$1,000,000 per year, and shall be 3-5 years in duration.  Up to $11,000,000 is expected to be available for 12 awards to SSI proposals, subject to availability of funds.
 
Software Infrastructure for Sustained Innovation (SI 2 ) is a bold and long-term investment that maintains a sustained focus on realizing the Cyberinfrastructure Framework for 21st Century Science and Engineering , which envisions a highly reusable and interoperable cyberinfrastructure architecture that integrates large-scale computing, high-speed networks, massive data archives, instruments and major facilities, observatories, experiments, and embedded sensors and actuators, across the nation and the world, to help make great strides towards revolutionizing virtually every science and engineering discipline. 

The SIprogram focuses on supporting robust, reliable and sustainable software that will support and advance sustained scientific innovation and discovery. The goal of this program is to catalyze and nurture the interdisciplinary processes required to support the entire software lifecycle, and result in the development of sustainable community software elements and reusable components at all levels of the software stack. The SI2 program aspires to support vibrant partnerships among academia, government, and industry researchers, including international entities, for the development and stewardship of a sustainable software infrastructure.

SI2 currently invites applications in the following classification:

 

Scientific Software Integration (SSI): SSI awards target larger, interdisciplinary teams organized around the development and application of common software infrastructure aimed at solving common research problems faced by NSF researchers in one or more areas of science and engineering. SSI awards will result in a sustainable community software framework serving a diverse community or communities.

Sloan
Digital 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

This program seeks to support the efficient management and sharing of research data and code from acquisition through analysis; and grow the current and future scientific data work force. 

Grants in this program tend to fall into four broad types:
  • Software grants support technology development ranging from prototyping funds to substantial scaling resources;
  • Training grants aim at supporting work force training and curricular initiatives as well as targeted adoption of new technologies by specific communities;
  • Research grants bring historical, ethnographic, and economic research methods to bear on our understanding of scholarly activities in a changing technological context;
  • Community grants build networks for knowledge exchange across disciplines as well as institutions that serve to incubate sustainable research and software projects.
Grant requests can be made at any time. A brief letter of inquiry is the first step for an applicant.
Biomedical Science
DODUSAMRMC
United States Army Medical Research and Materiel Command (USAMRMC)
FY17 Broad Agency Announcement for Extramural Medical Research
Sponsor Deadline for Preliminary Proposals (required): Rolling through September 30, 2017 
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. Support for conferences and symposia is also available, in addition to research funding. 

Under USAMRMC's Medical Simulation and Information Sciences Research Program, the Health Information Technology and Informatics (HITI) Portfolio solicits applications in the area of Health Information Technology Infrastructure and Data Management, specifically about improvements to data availability, management, storage, and operational use of Enterprise Health Data. Proposed objectives should ensure the unique identification of each patient, as well as aggregated data strategies for population health and big data.
ECICOmics
LRI C4: Towards the Development of an Omics Data Analysis Framework (ODAF) for Regulatory Application
Sponsor Deadline: August 31, 2017 
OSP Deadline: August 24, 2017
Award Information:  €250,000 for 2 years

Generate an Omics Data Analysis Framework supports bioinformatics best practices. The project will focus on best practices for microarray and RNA-Seq (and perhaps new platforms like Biospyder) platforms up to differential gene expression identification.  The Framework will outline best practices in areas identified as problematic in omics data interpretation. These areas will include but are not restricted to outliers and batch effects.

Specifically, this project will:
  1. Identify suitable transcriptomic datasets from the publicly available sources using different platforms that are linked to a measured adverse outcome, have a defined exposure and utilise either a dose response or time course methodology. The datasets should come from a variety of platforms and where possible include new technologies e.g. RNA-seq.
  2. Analyse the data using a variety of methods for interpretation and compare these analyses with the method established from the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) workshops.
  3. Develop common foundation methods that also include practices to recognise outliers in the data set and thresholds that should be observed for excluding outliers.
  4. Present the common foundation methods at a meeting of the ECETOC expert team and other similar format for improvement.
Proposals may be submitted by any European or non-European, for-profit or non-profit organization, public or private entities, such as universities, colleges, laboratories, and contract research organizations; units of national and local governments with the necessary laboratory facilities; and research cooperatives. Collaborations between research institutions are encouraged.
NIHDrugAbuseResearchR01
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01)
Sponsor Deadlines:  October 5, 2017; February 5, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are limited to $500,000 direct costs per year. The maximum project period is 5 years.  The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications.

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.   
NIHSuicideResearchR01
Addressing Suicide Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01)
Deadline for Letters of Intent (requested):  October 2, 2017
Sponsor Deadline: November 2, 2017
OSP Deadline: October 26, 2017
Award Information:  Application budgets are limited to $300,000 in direct costs (not including consortium F&A) in any project year, for up to 4 years.

This funding opportunity announcement seeks to leverage data from existing basic, clinical, and intervention research on suicide risk and behaviors as well as social media and healthcare records data, by encouraging the integration of existing data sets for novel secondary analyses aimed at identifying potential biological, experiential, and other predictors and moderators of suicide risk. The use of dimensional variables and inclusion of multiple levels of analyses is particularly encouraged. A secondary goal of this FOA is to support innovative projects that will generate foundational work for research studies on suicide-related behaviors that inform a Research Domain Criteria (RDoC) approach in this area. Projects supported by this FOA will help address gaps identified in the  2014 Prioritized Research Agenda for Suicide Prevention.

A Technical Assistance teleconference will be held for potential applicants on August 16, 2017 from 1:00pm - 2:00 pm EDT. The dial in number is 866-692-3158 and participant code is 5800728#. 
NIHDataArchivesR24
BRAIN Initiative: Data Archives for the BRAIN Initiative (R24)
Sponsor Deadline for Letters of Intent (requested): September 19, 2017
Sponsor Deadline for Full Proposals: October 19, 2017
OSP Deadline: October 12, 2017 
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.  Issuing IC and partner components intend to commit an estimated total of $3 million to fund 3-5 awards in both FY17 and FY18. It is expected that costs will be substantially higher after the first year of these awards.
 
This FOA solicits applications to develop web-accessible data archives to capture, store, and curate data related to BRAIN Initiative activities. The data archives will work with the research community to incorporate tools that allow users to analyze and visualize the data, but the creation of such tools is not part of this FOA. The data archives will use appropriate standards to describe the data, but the creation of such standards is not part of this FOA. A goal of this program is to advance research by creating a community resource data archive with appropriate standards and summary information that is broadly available and accessible to the research community for furthering research.  
NIHBRAINDataIntAnalysisR24
BRAIN Initiative: Integration and Analysis of BRAIN Initiative Data (R24)
Sponsor Deadline for Letters of Intent (requested): September 26, 2017
Sponsor Deadline for Full Proposals: October 26, 2017
OSP Deadline: October 19, 2017 
Award Information:  Application budgets are not limited but need to reflect the actual needs of the proposed project.The maximum project period is 3 years.  Issuing IC and partner components intend to commit an estimated total of $4 million to fund 10 awards in both FY17 and FY18. 
 
This FOA solicits applications to develop informatics tools for analyzing, visualizing, and integrating data related to the BRAIN Initiative or to enhance our understanding of the brain.
NIHLongAnalysisU01
Intensive Longitudinal Analysis of Health Behaviors: Leveraging New Technologies to Understand Health Behaviors (U01)
Sponsor Deadline for Letters of Intent (requested): September 5, 2017
Sponsor Deadline for Full Proposals: October 5, 2017
OSP Deadline: September 28, 2017
Award Information:  Application budgets are limited to $500,000 in direct costs per year. The maximum project period is 4 years. Issuing IC and partner components intend to commit an estimated total of $2.5 million to fund 5 awards.

This FOA is intended to provide funding to encourage research projects that seek to explain underlying mechanisms and predict health behaviors within individuals over time utilizing intensive longitudinal, within-person protocols that leverage recent advances in mobile and wireless sensor technologies and big data analytics. The research projects will collect and analyze data, disseminate project findings, and work collaboratively with each other and the research coordinating center.
NIHNCCIHCollabU24
National Center for Complementary and Integrative Health (NCCIH)
Mind and Body Intervention Multi-Site Clinical Trial Data Coordinating Center (Collaborative U24)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: February 2, 2018; October 3, 2018
OSP Deadlines: 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 period of award for the U24 phase is expected to be 5 years.  Up to 7 years may be requested if strongly justified.  The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications.

This FOA, utilizing the U24 grant funding mechanism, encourages applications for a collaborating Data Coordinating Center (DCC) that accompanies an investigator-initiated multi-site clinical trial (Phase III and beyond) application submitted under  PAR-17-175 . The DCC application must be specific to the collaborating Clinical Coordinating Center (CCC) application. The objective of the DCC application is to propose a comprehensive plan that provides overall project coordination, and administrative, data management, and biostatistical support for the proposed clinical trial. Both a DCC application and a corresponding CCC application need to be submitted simultaneously for consideration by NCCIH.  Trials for which this FOA applies must be relevant to the research mission of the NCCIH and considered a high priority by the Center. For additional information about the mission, strategic vision, and research priorities of the NCCIH, applicants are encouraged to consult the NCCIH website: ( http://www.nccih.nih.gov).
NIHNCCIHNaturalProdsU24
National Center for Complementary and Integrative Health (NCCIH)
Natural Product Multi-Site Clinical Trial Data Coordinating Center (Collaborative U24)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: October 6, 2017; June 7, 2018
OSP Deadlines: 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 period of award for the U24 phase is expected to be 5 years.  Up to 7 years may be requested if strongly justified.  The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications.

This FOA, utilizing the U24 grant funding mechanism, encourages applications for a collaborating Data Coordinating Center (DCC) application that accompanies an investigator-initiated multi-site clinical trial (Phase III and beyond) application submitted under  PAR-17-174 . The DCC application must be specific to the collaborating Clinical Coordinating Center (CCC) application. The objective of the DCC application is to propose a comprehensive plan that provides overall project coordination, and administrative, data management, and biostatistical support for the proposed clinical trial. Both a DCC application and a corresponding CCC application need to be submitted simultaneously for consideration by NCCIH. T rials for which this FOA applies must be relevant to the research mission of the NCCIH and considered a high priority by the Center. For additional information about the mission, strategic vision, and research priorities of the NCCIH, applicants are encouraged to consult the NCCIH website: ( http://www.nccih.nih.gov).
NIHCancerBehResInteratingData
National Institutes of Health (NIH)
National Cancer Institute (NCI)
Cancer-Related Behavioral Research through Integrating Existing Data (R01 and R21)
Sponsor Deadlines for Full Proposals: February 7, 2018 and June 7, 2018 for R01 applications; February 15, 2018 and June 15, 2018 for R21 applications
OSP Deadline:  5 business days prior to submission
Award Information: For R01 applications, the budget is not limited and the maximum project period is 5 years. For R21 applications , direct costs are limited to $275,000 over a 2 year period, with no more than $200,000 in direct costs allowed in any single year.

These FOAs invite applications that seek to integrate two or more independent data sets to answer novel cancer control and prevention questions. The goal is to encourage applications that incorporate Integrative Data Analysis (IDA) methods to study behavioral risk factors for cancer, including tobacco use, sedentary behavior, poor weight management, and lack of medical adherence to screening and vaccine uptake. It is important that the data being integrated are from different sources and types (including both quantitative and qualitative; data may span different levels such as genetic and environmental) and should include at least one source of behavioral data. Importantly, applicants should use existing data sources rather than collect new data. In addition, creating harmonized measures, developing culturally sensitive measures, replicating results and cross-study comparisons will be encouraged.
NIHNCI
National Cancer Institute (NCI)
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: November 20, 2017; June 14, 2018
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.
NIHCancerRegistryDataR01andR21
National Institutes of Health (NIH)
National Cancer Institute (NCI)
Leveraging Population-based Cancer Registry Data to Study Health Disparities
(R01 and R21)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: October 5, 2017 and February 5, 2018 for R01 applications; October 16, 2017 and February 16, 2018 for R21 applications
OSP Deadline:  5 business days prior to submission
Award Information: For R01 applications, the budget is not limited and the maximum project period is 5 years. For R21 applications , direct costs are limited to $275,000 over a 2 year period, with no more than $200,000 in direct costs allowed in any single year.

The goal of these Funding Opportunity Announcements is to efficiently use the existing cancer registry infrastructure by augmenting data already collected with additional information needed to understand health disparities among people diagnosed with cancer. Specifically, this FOA will support the study of factors influencing observed health disparities within the framework of population-based cancer registries by the inclusion of data not routinely collected by or linked to the registries. The studies should be hypothesis-driven and multidisciplinary approaches are encouraged. Investigators are encouraged to leverage the data already collected by the registries to investigate the determinates of health disparities. The goal of these analyses will be to understand why disparities in cancer treatment and outcomes persist by identifying factors contributing to disparities and their relative importance.
NIHGenomicCommResU24
Genomic Community Resources (U24)
Sponsor Deadline for Letters of Intent (requested): 60 days prior to the deadline
Sponsor Deadlines for Full Proposals: September 25, 2017; January 25, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited. The maximum project period is 5 years.

To facilitate genomic research and the dissemination of its products, NHGRI supports genomic resources that are crucial for basic research, disease studies, model organism studies, and other biomedical research. Awards under this FOA will support the development and distribution of genomic resources that will be valuable for the broad research community, using cost-effective approaches. Such resources include (but are not limited to) databases and informatics resources (such as human and model organism databases, ontologies, and analysis toolsets), comprehensive identification and collections of genomic features (such as functional genomic elements), and standard data types produced using central sets of samples (such as structural variants in 1000 Genomes or GTEx samples). NCI is interested in any of the above types of resources that focus on cancer.
NIHNHLBITOPMedDataR01
National Heart, Lung, and Blood Institute (NHLBI)
Integrative Computational Biology for Analysis of NHLBI TOPMed Data (R01)
Sponsor Deadline for Letters of Intent (requested): June 6, 2018
Sponsor Deadlines for Full Proposals: July 6, 2018
OSP Deadline: June 28, 2018
Award Information: Application budgets may not exceed $324,000 in direct costs per year. The maximum project period is 2 years. NHLBI intends to commit total costs of $3,000,000 in FY 2018, $6,000,000 in FY 2019, and $3,000,000 in FY 2020 to fund up to 12 awards.

The purpose of this FOA is to support integrated analysis of whole genome, large scale "omic" data generated by the NHLBI's Trans-Omics for Precision Medicine (TOPMed) program and associated phenotype and clinical data using systems approaches. Ultimately, these studies will advance our understanding of the molecular underpinnings of heart, lung, blood, and sleep disease.
National Institute on Aging (NIA)
Genetics of Alzheimer's Disease Data Storage Site (U24)
Sponsor Deadlines for Full Proposals:  September 25, 2017; January 25, 2018
OSP Deadlines: 5 business days prior to submission
Award Information:  Direct costs should not exceed $1,000,000 per year for up to 5 years.

The National Institute on Aging (NIA) invites applications specific to infrastructure that will support storage and analysis of primary and secondary data for the genetics and genomics of Alzheimer's Disease. This FOA addresses NIA's vital need for a central database for the storage and exchange of AD genetics and related data. The NIA is committed to facilitating the collection and sharing of data related to research in the area of the genetics of AD. The  NIA Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) is a critical facet of the NIA Alzheimer's Disease Genetics Initiative that effectively leverages the investments already made related to the etiology of AD. Applications considered for funding should effectively leverage the investments already made related to investigation of the root causes of the disease.  The research resource should provide a large database of publicly available sequence and annotation data along with an integrated tool set for examining and comparing the genomes of affected and unaffected individuals, aligning sequence to genomes, and displaying and sharing users' own annotation data. Besides data storage and data processing, the database should provide effective mechanisms for data distribution.
National Institute on Aging (NIA)
Limited Competition: Analysis of Data from NIA's Alzheimer's Disease Sequencing Project Follow-Up Study (U01)
Sponsor Deadline for Letters of Intent (requested): 45 days prior to the deadline
Sponsor Deadlines for Full Proposals:  October 5, 2017; February 5, 2018
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 National Institute on Aging invites applications specific to the analysis of genome-wide association studies and whole-genome and related sequencing data generated under PAR-16-406.
NIHHIV
Harnessing Big Data to Halt HIV (R01)
Sponsor Deadlines: September 7, 2017; January 7, 2018
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.
NIHNIGMS
National Institutes of Health (NIH)
National Institute of General Medicine (NIGMS)
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadlines: October 5, 2017; February 5, 2018
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 c onceptual development of models, particularly analytical and statistical tools for interpreting and using large data sets or model results.
NIHU24
National Institutes of Health (NIH): (PAR-15-331) (PAR 15-333)
National Cancer Institute (NCI) 
Informatics Resources/Technologies for Cancer Research and Management (U24)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: November 20, 2017; June 14, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets for Advanced Development may not exceed $600,000 in Direct Costs (excluding consortium F&A costs) per year for up to 5 years.  B udgets for Sustained Support applications are not limited but need to reflect the actual needs of the proposed project; duration may be up to 5 years.
 
NCI invites applications in response to two Program Announcements: PAR-15-331: Advanced Development of Informatics Technologies for Cancer Research and Management (U24) and PAR-15-333: Sustained Support for Informatics Resources for Cancer Research and Management (U24).   

The purpose of PAR-15-331, Advanced Development of Informatics Technologies for Cancer Research and Management (U24), is to invite Cooperative Agreement (U24) applications for advanced development and enhancement of emerging informatics technologies to improve the acquisition, management, analysis, and dissemination of data and knowledge across the cancer research continuum, including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities. As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Initiative, this FOA focuses on emerging informatics technology, defined as one that has passed the initial prototyping and pilot development stage, has demonstrated potential to have a significant and broader impact, has compelling reasons for further improvement and enhancement, and has not been widely adopted in the cancer research field. The central mission of ITCR is to promote research-driven informatics technology across the development lifecycle to address priority needs in cancer research. In order to be successful, proposed development plans must have a clear rationale on why the proposed technology is needed and how it will benefit the cancer research field. In addition, mechanisms to solicit feedback from users and collaborators throughout the development process should be included. 

PAR-15-333, Sustained Support for Informatics Resources for Cancer Research and Management (U24), invites applications for the continued development and sustainment of high-value informatics research resources to serve current and emerging needs across the cancer research continuum.As a component of ITCR Program, this FOA focuses on supporting activities necessary for improved user experience and availability of existing, widely-adopted informatics tools and resources. This is in contrast to early-stage and advanced development efforts to generate these tools and resources that are supported by companion ITCR FOAs. In addition, mechanisms for assessing and maximizing the value of the resource to researchers and supporting collaboration and/or deep engagement between the resource and the targeted research community should be described.
NIHNIAID
National Institute of Allergy and Infectious Diseases (NIAID)
Informatics Methodology and Secondary Analyses for Immunology Data in ImmPort (UH2)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: October 4, 2017; October 4, 2018
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.
NIHSuicideDataAnalysisR03
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Small Grants for Secondary Analyses of Existing Data Sets and Stored Biospecimens (R03) 
Sponsor Deadlines: October 16, 2017; February 16, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are limited to $50,000 in direct costs per year.  The maximum project period is 2 years.

This FOA encourages applications that propose to conduct secondary analyses of publicly available NICHD-funded data sets or stored biospecimens. Clinical trials, population health, and epidemiological research projects, such as case-control or cohort studies, typically generate data with utility beyond the specific hypotheses and questions for which they were originally designed. Expanded use of secondary analysis of existing data sets and biorepositories allows researchers to address research questions within the scientific scope of the NICHD at relatively low cost and effort and enhances the value of NICHD investments in research. Electronic linkages across data sets/biospecimens or with administrative data bases, such as electronic health records, will expand the scope and impact of research on child health and human development. 
NIHNIDA
National Institute on Drug Abuse (NIDA)
The Application of Big Data Analytics to Drug Abuse Research (R01)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: October 5, 2017; February 5, 2018
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.
NIHNIDDKdkNETCUU24
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIDDK Information Network Coordinating Unit: dkNET-CU (U24)
Sponsor Deadline for Letter of Intent (requested): September 30, 2017
Sponsor Deadlines for Full Proposals: October 31, 2017
OSP Deadline: October 24, 2017
Award Information:  This FOA is limited to $635,000 Direct Costs per year for up to 5 years.  NIDDK intends to commit $1,000,000 in FY 2018 to fund ONE award.
 
The purpose of this FOA is to continue development and expansion of the NIDDK Information Network (dkNET) under the direction of the dkNET Coordinating Unit (dkNET-CU). dkNET supports NIDDK research by providing a user-friendly web portal that seamlessly connects the NIDDK research community to an expanding universe of biomedical resources and data. The dkNET-CU will be responsible for providing the scientific direction, vision, and administrative management needed to advance dkNET goals. 
NIHConvergentNeuroU01
National Institute of Mental Health (NIMH)
From Genomic Association to Causation: A Convergent Neuroscience Approach for Integrating Levels of Analysis to Delineate Brain Function in Neuropsychiatry (U01)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: October 5, 2017; February 5, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Up to  $2,500,000 direct cost per year for up to 5 years.
 
The primary objective of this FOA is to stimulate innovative Convergent Neuroscience (CN) approaches to establish causal and/or probabilistic linkages across contiguous levels of analysis (e.g., gene, molecule, cell, circuit, system, behavior) in an explanatory model of psychopathology. In particular, applicants should focus on how specific constituent biological processes at one level of analysis contribute to quantifiable properties at other levels, either directly or as emergent phenomena. Although not required, it is preferable that applications link at least three levels of analysis and include an emphasis on genetics. The projects under this FOA will develop novel methods, theories, and approaches through a CN team framework, bringing together highly synergistic inter/transdisciplinary teams from neuroscience and "orthogonal" fields (e.g., data/computational science, physics, engineering, mathematics, and environmental sciences). Successful teams will combine, expand upon, or develop conceptual frameworks and theoretical approaches, and build explanatory computational models that connect contiguous levels of analysis. Such frameworks, theories, and computational explanatory models should be validated through experimental approaches to elucidate biological underpinnings of complex behavioral (including cognitive and affective) outcomes in psychopathology. Additionally, a goal of this program is to advance research in CN by creating a shared community framework of resources which may be used by the broader research community to further research, as such, successful team will have robust plan for sharing data and other resources.

Applications requiring two or more collaborating sites to complete the proposed research should apply as a linked set of collaborative U01 applications to the companion collaborative U01 FOA ( PAR-17-176).  All awards supported under this FOA and the companion collaborative U01 FOA  will be governed by the Convergent Neuroscience Network for Psychiatry (CNN-Psych) Steering Committee.
NIHNLM
National Library of Medicine (NLM)
NLM Career Development Award in Biomedical Informatics and Data Science (K01)
Sponsor Deadlines: October 12, 2017; February 12, 2018
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.
NIHNLMPersonalHealthLibraries
National Library of Medicine (NLM)
Data Science Research: Personal Health Libraries for Consumers and Patients (R01)
Sponsor Deadline for Letters of Intent (requested): February 16, 2018
Sponsor Deadline for Full Proposals: March 19, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Up to $250K direct costs may be requested in any single year for up to 4 years.

To bring the benefits of big data research to consumers and patients, new biomedical informatics and data science approaches are needed, shaped to meet the needs of consumers and patients, whose health literacy, language skills, technical sophistication, education and cultural traditions affect how they find, understand and use personal health information. Novel data science approaches are needed to help individuals at every step, from harvesting to storing to using data and information in a personal health library. The National Library of Medicine seeks applications for novel informatics and data science approaches that can help individuals gather, manage and use data and information about their personal health. A goal of this program is to advance research and application by patients and the research community through broadly sharing the results via publication, and through open source mechanisms for data or resource sharing.  Please note that organizations are limited to submitting one proposal in response to this Program Announcement. If you are interested in applying, please contact Erin Hale in FAS Research Development at erin_hale@fas.harvard.edu.
NIHNLM2
National Library of Medicine (NLM)
NLM Express Research Grants in Biomedical Informatics (R01)
Sponsor Deadlines: October 5, 2017; February 5, 2018
OSP Deadline: 5 business days prior to submission
Award Information: The NLM Express Research Grant has a limit of $250,000 per year in direct costs. The maximum project period is 4 years.

The National Library of Medicine (NLM) offers support for innovative research in biomedical informatics and data science. The scope of NLM's interest in the research domain of informatics is broad and interdisciplinary, developing methods and approaches in biomedical computing, data science and related information fields for application domains of health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas. NLM defines biomedical informatics as the science of optimal representation, organization, management, integration and presentation of information relevant to human health and biology, for purposes of learning, sharing and use.
NIHMSMU01
Multiple Partners
Predictive Multiscale Models for Biomedical, Biological, Behavioral, Environmental and Clinical Research (U01)
Sponsor Deadline for Letters of Intent (strongly encouraged): August 29, 2017
Sponsor Deadline for Full Proposals: September 29, 2017
OSP Deadline: September 22, 2017
Award Information:  Projects are limited to below $500,000 direct costs per year.  Budgets are expected to range from $200,000 to $400,000 in Total Direct Costs each year for up to 5 years. NASA may consider funding projects in the range of $150,000 in direct costs per year, for up to 3 years. 

The goal of this interagency funding opportunity announcement (FOA) is to support the development of multiscale models to accelerate biological, biomedical, behavioral, environmental and clinical research. The NIH, ARO, DOE, FDA, NASA, NSF, and ONR recognize that in order to efficiently and effectively address the challenges of understanding multiscale biological and behavioral systems, researchers will need predictive, computational models that encompass multiple biological and behavioral scales. This FOA supports the development of non-standard modeling methods and experimental approaches to facilitate multiscale modeling, and active participation in community-driven activities through the Multiscale Modeling (MSM) Consortium.  
NIHSecondAnalysisCancerRisk
National Institutes of Health (NIH)
Secondary Analysis and Integration of Existing Data to Elucidate the Genetic Architecture of Cancer Risk and Related Outcomes (R01 and R21)
Sponsor Deadlines:  October 5, 2017 and February 5, 2018 for R01 proposals; October 16, 2017 and February 16, 2018 for R21 proposals
OSP Deadline: 5 business days prior to submission
Award Information:  For R01 awards, t he budget is limited to $350,000 in direct costs per year for up to 5 years. For R21 awards, d irect costs are limited to $275,000 over a 2 year project period, with no more than $200,000 in direct costs allowed in any single year.

These FOAs encourage applications that propose to conduct secondary data analysis and integration of existing datasets and database resources, with the ultimate aim to elucidate the genetic architecture of cancer risk and related outcomes. The goal of this initiative is to address key scientific questions relevant to cancer epidemiology by supporting the analysis of existing genetic or genomic datasets, possibly in combination with environmental, outcomes, behavioral, lifestyle, and molecular profiles data. Applications to this FOA are encouraged to leverage existing genetic data and perform innovative analyses of the existing data. Applications may include new research aims that are being addressed with existing data, new or advanced methods of analyses, or novel combinations and integration of datasets that allow the exploration of important scientific questions in cancer research.
NSFCogNeuro
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro) 
Sponsor Deadlines: August 14, 2017; February 12, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Average award size is ~$175K per year (including both direct and indirect costs) and the average duration is 3 years
 
The cognitive neuroscience program seeks to fund highly innovative proposals that employ brain-based measurements in order to advance our understanding of the neural systems that mediate cognitive processes.  New frontiers in cognitive neuroscience research have emerged from investigations that integrate data at different spatial and temporal scales.  Human cognitive science encompasses a wide range of topics, including attention, learning, memory, decision-making, language, social cognition, and emotions. Proposals will be considered that investigate a particular cognitive process using human brain data. 
PhRMAInformatics
Informatics Research Starter Grants 
Sponsor Deadline: September 1, 2017
OSP Deadline: August 25, 2017
Award Information: $100,000 for 1 year
 
The goal of the Informatics program is to promote development and use of novel 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; Genomics; Systems Biology; Molecular Epidemiology; and Proteomics.

Those holding academic rank of assistant professor (or research assistant professor) within a tenure track (or research track) appointment, i.e., not instructor, are eligible to apply for a Research Starter Grant, providing their proposed research is neither directly nor indirectly subsidized to any significant degree by an extramural support mechanism.  Applicants must be sponsored by the department or unit in which the proposed research is to be undertaken. Research projects that extend or develop the proprietary value of specific drug products will not be accepted. All applicants must be U.S. citizens or permanent residents.
PhRMAFellowships
Informatics Sabbatical Fellowships 
Sponsor Deadline: September 1, 2017
OSP Deadline: August 25, 2017
Award Information: $40,000 for 6 months to 1 year. Matching funds must be provided by the institution.
 
The goal of the Informatics program is to promote development and use of novel 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; Genomics Molecular Epidemiology; Molecular Systems Biology; Medical (human) Pathways and Networks; Pharmaco-Integrative Biology; Population Modeling and Simulation; and Novel approaches to the analysis of Big Data.

These sabbatical fellowships provide stipend support for individuals engaged in a multidisciplinary research training program that will extend their credentials in informatics. They enable mid-career faculty with active research programs to work outside of their institutions to learn new skills or develop collaborations that will enhance their research and research training capabilities. All applicants must be U.S. citizens or permanent residents.
Education and Training
AERA
American Educational Research Association (AERA)
AERA Research Grants
Sponsor Deadline: August 31, 2017
OSP Deadline: August 24, 2017
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; or
  • 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.
NSFWorkforceSurveyData
Directorate for Social, Behavioral & Economic Sciences (SBE)
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 16, 2018
OSP Deadline: January 8, 2018
Award Information: The total maximum amount for all awards in FY18 is $750,000. 7-12 awards are anticipated.

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. 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.
NSFCyberTraining
National Science Foundation
Directorate of Computer & Information Science & Engineering (CISE)
Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)
Sponsor Deadline: October 9, 2017
OSP Deadline: September 29, 2017
Award Information: $300,000-$500,000 for up to 3 years. NSF anticipates a total budget for this program of  $4,500,000 to support 10-15 awards.
 
The overarching goal of this program is to prepare, nurture and grow the national scientific workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) that enables cutting-edge science and engineering and contributes to the Nation's overall economic competitiveness and security.  For the purpose of this solicitation, advanced CI is broadly defined as the resources, tools, and services for advanced computation, data handling, networking and security. This solicitation calls for developing innovative, scalable training programs to address the emerging needs and unresolved bottlenecks in scientific and engineering workforce development of targeted, multidisciplinary communities, at the postsecondary level and beyond, leading to transformative changes in the state of workforce preparedness for advanced CI in the short and long terms.  A primary goal is to broaden CI access and adoption by (i) increasing or deepening accessibility of methods and resources of advanced CI and of computational and data science and engineering by a wide range of institutions and scientific communities with lower levels of CI adoption to date; and (ii) harnessing the capabilities of larger segments of diverse underrepresented groups. Proposals from and in partnership with the aforementioned communities are especially encouraged.  For student training, a key concern is not to increase the time to degree; hence the emphasis shall be on out-of-class, informal training.

There are three tracks for submissions:

(i)  CI Professionals (CIP): aimed at the training and career pathway development of research cyberinfrastructure and professional staff who  develop, deploy, manage, and support effective use of advanced CI for research;
(ii)  Domain science and engineering (DSE): aimed primarily at the communities of CI Contributors and sophisticated CI Users, and aligned with the  research and education priorities of the participating domain directorates; and
(iii)  Computational and data science literacy (CDL): aimed at the CI User community at the undergraduate level.  
Questions about this newsletter or proposal submission may be directed to:

Jennifer Corby
Research Development Officer
jcorby@fas.harvard.edu | 617-495-1590

To see previous Big Data Funding Newsletters, please visit our   email archive .
Research Development | Research Administration Services | research.fas.harvard.edu