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

Twelve awards totaling $9 million in Fiscal Year 2017 will launch a National Institutes of Health Data Commons Pilot Phase. A data commons is a shared virtual space where scientists can work with the digital objects of biomedical research, such as data and analytical tools. The NIH Data Commons will be implemented in a four-year pilot phase to explore the feasibility and best practices for making digital objects available through collaborative platforms. This will be done on public clouds, which are virtual spaces where service providers make resources, such as applications and storage, available over the internet. The goal of the NIH Data Commons Pilot Phase is to accelerate biomedical discoveries by making biomedical research data Findable, Accessible, Interoperable, and Reusable (FAIR) for more researchers.

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. 

Speakers have been announced in the second year of this virtual lecture series on data science featuring presentations covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to "big data" in biomedicine. The webinars take place on Friday afternoons from 12-1pm EST.  

The heterogeneous nature of biomedical data, the lack of data discovery infrastructure, and fragmented data environments, data standards, and documentation present a barrier to data sharing. Tools to enable researchers to discover and re-use data to facilitate biomedical science are needed. The biomedical and healthCAre Data Discovery Index Ecosystem ( bioCADDIE) project, a part of the NIH Big Data to Knowledge (BD2K) initiative, seeks to provide a prototype platform for researchers to find biomedical data to enable reanalysis and the creation of derived products through data integration.

The KnowEnG BD2K center is pleased to announce the initial public release of the Knowledge Engine for Genomics (KnowEnG). The KnowEnG platform is a scalable cloud-based computing platform that enables knowledge-guided machine learning and graph mining analyses and exploration of results with interactive visualizations. In this first public release, KnowEnG is offered for free and researchers are encouraged to try the platform. Please contact  knoweng@illinois.edu  for more information and access; or to offer your feedback.
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.

Materials from the Task Force's November 1-3 meeting are now available online.
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?
NSFRIDIR2018
Directorate for Social, Behavioral and Economic Sciences (SBE)
Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR)
Sponsor Deadline: February 28, 2018
OSP Deadline: February 21, 2018
Award Information: Total maximum amount for all awards per year: $4.5M. 3-4 awards are anticipated per year.

As part of NSF's Harnessing the Data Revolution (HDR), the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.
NSFSTS
Directorate for Social, Behavioral and Economic Sciences (SBE)
Science, Technology and Society (STS)
Sponsor Deadlines: February 2, 2018; August 3, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Standard research grants up to $400,000 over 2-3 years are available; STS also offers Conference and Workshop grants up to $25,000.

The Science, Technology, and Society (STS) program supports research that uses historical, philosophical, and social scientific methods to investigate the intellectual, material, and social facets of the scientific, technological, engineering and mathematical (STEM) disciplines. It encompasses a broad spectrum of STS topics including interdisciplinary studies of ethics, equity, governance, and policy issues that are closely related to STEM disciplines, including medical science. 

Areas of particular interest to STS include ethical, policy, and cultural issues related to big data, surveillance and privacy in an increasingly networked world.
RSFCompSS
Computational Social Science
Sponsor Deadline for Letters of Inquiry (required): May 31, 2018
Sponsor Deadline for Full Proposals (if invited): August 15, 2018
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.
DODAFOSRCoEERML
United States Department of Defense (DoD)
Air Force Office of Scientific Research (AFOSR)
Center of Excellence: Efficient and Robust Machine Learning (ERML)
Sponsor Deadline: January 4, 2018
OSP Deadline: December 20, 2017
Award Information: $5M over 5 years.  A single Cooperative Agreement is anticipated under this announcement.

The purpose of this ERML University Center of Excellence (UCoE) is to establish the foundational principles of design, development, and employment as well as critical technologies to support machine learning (ML) methods and procedures. The Air Force's autonomy vision includes intelligent machines that utilize data, leverage learning techniques, and deliver content for a variety of operations. Machine learning methods must be employed with efficiency and robustness for effective results given data challenges such as variety, volume, velocity, veracity, and value. Leveraging ML methods and techniques should incorporate contextual considerations, operational environments, and hardware implementation. To achieve the USAF vision, ML techniques must consider transferability, usability, efficiency and robustness for mission success. Foundational science and technology is needed to understand machine learning employment challenges including efficiency (data and computational), robustness (practical and adversarial), as well as relevancy (situational and contextual).
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.

AFOSR's focus is on research areas that offer significant and comprehensive benefits to our national warfighting and peacekeeping capabilities. These areas are organized and managed in two scientific Branches: Engineering and Information Sciences (RTA), and Physical and Biological Sciences (RTB). Of interest to the Big Data community, 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.
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
Award Information: There are no specific funding restrictions associated with this BAA (e.g. direct costs, indirect costs, etc.). 

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
Award Information: There are no specific funding restrictions associated with this BAA (e.g. direct costs, indirect costs, etc.). ARO prefers proposals to cover a 3-year period. 

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.
DARPAGeoCloudAnalytics
Defense Advanced Research Projects Agency (DARPA)
Geospatial Cloud Analytics (GCA)  
Sponsor Deadline for Full Proposals:  December 14, 2017 (proposals submitted after this deadline may be received and evaluated up to six months from date of posting on FedBizOpps (which was October 11, 2017) though the likelihood of available funding is greatly reduced for proposals submitted after the initial closing date deadline)
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. GCA is a 24-month, three-phase program. At present, DARPA seeks innovative proposals covering the tasks in Phase 1 (6 month base effort) and Phase 2 (12 month costed option) of the program. Proposals must address both Phase 1 and Phase 2.   Multiple awards are anticipated. DARPA will award a total of $28.9 million (for Phases 1 and 2) under this program.
 
The Geospatial Cloud Analytics (GCA) program will develop and demonstrate technology for accessing and analyzing global scale, multimodal geospatial data. It will also pilot an "analytics-as-a-service" business model. The program will develop the software infrastructure to curate and virtually aggregate vast amounts of geospatial information from commercial, satellite constellations. As a result, GCA technology will let data scientists concentrate on analyzing, rather than gathering and curating data from individual sources. GCA will demonstrate analytics capabilities for global indications and warnings through a set of competitive events that consist of a strategic competition (predicting food shortages), an operational competition (locating new fracking construction), and a tactical competition (locating and tracking illegal fishing vessels). In addition, the GCA program will include an open call for new problem areas that will allow investigation of additional capabilities.
 
For Phases 1 and 2, DARPA seeks proposals in two technical areas (TAs). TA-1: Scalable Geospatial Data Platform will provide access to geospatial data and an extensible computing platform on which TA-2 performers can efficiently access and process massive amounts of curated geospatial data. TA-2: Analytical Applications and Competitions will create software for use in one or more of the analytics competitions (predicting food shortages, locating fracking construction detection, illegal fishing detection, open call) using data and platforms provided by TA-1 proposers.
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I2O) Broad Agency Announcement  
Sponsor Deadline:  Rolling through August 31, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  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. Multiple awards are anticipated. 
 
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. Submission of abstracts in advance of full proposals is strongly encouraged to ascertain I2O interest in the proposed effort.
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.
DoDDARPAFYA
Defense Advanced Research Projects Agency (DARPA)
Young Faculty Award (YFA)  
Sponsor Deadline: December 4, 2017
OSP Deadline: November 27, 2017
Award Information:  Each award will include a 24-month base period (a maximum of $500,000) and a 12-month option period (a maximum of $500,000). The 12-month option period, referred to as the "Director's Fellowship," will be reserved for a limited number of awardees who demonstrate exceptional YFA project performance over the 24-month base period. Multiple awards are anticipated.

The Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA) program aims to identify and engage rising stars in junior faculty positions in academia and equivalent positions at non-profit research institutions and expose them to Department of Defense (DoD) and National Security challenges and needs. In particular, this YFA will provide high-impact funding to elite researchers early in their careers to develop innovative new research directions in the context of enabling transformative DoD capabilities. The long-term goal of the program is to develop the next generation of scientists and engineers in the research community who will focus a significant portion of their future careers on DoD and National Security issues. DARPA is particularly interested in identifying outstanding researchers who have previously not been performers on DARPA programs, but the program is open to all qualified applicants with innovative research ideas. Participation is open to individuals who are U.S. Citizens, U.S. Permanent Residents, and Foreign Nationals. Proposers must be one of the following (excluding any personal leaves of absence) at a U.S.-based institution by the full proposal deadline:

o current Tenure-Track Assistant/Associate Professors;
o current Tenured faculty within 3 years of their Tenure date; or
o an equivalent at a non-profit research institution within 12 years of the receipt of 
their  Ph.D.
 
This Research Announcement solicits single principal investigator (PI) proposals for research and development in 26 specific Technical Areas of interest, including Big Data Summarization. This topic seeks development of technologies to summarize large non-textual datasets. In cases when human users cannot analyze large data repositories, users would nonetheless appreciate summarization technologies that identify representative examples of dataset content. Representative examples should provide an intuition for what types of information reside within a large dataset. A fundamental component of this work will be identifying the features, objective functions, and optimization techniques used for summarization. Techniques that scale to millions, billions, or trillions of data items are of interest. In addition, evaluation strategies should provide evidence that summarization techniques will identify data subsets that a human user might extract to summarize data for another human.
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. 30-60 individual awards are anticipated each year. 

DTRA safeguards America and its allies from weapons of mass destruction (WMD) and provides capabilities to reduce, eliminate, and counter the threat and effects from chemical, biological, radiological, nuclear, and high yield explosives. DTRA will accept applications in response to general thrust areas and specific topic areas listed in the BAA and its Amendments.

One of the BAA's General Thrust Areas is Network Sciences: The fundamental science of network sciences includes advancing knowledge of complex disparate but interdependent networks critical to military operations where WMD-related robustness, resiliency, recovery of, and informational and operational utility is required. It includes response, resilience, and recovery of interdependent, multi-layered physical networks after exposure from electromagnetic pulse and other nuclear weapons effects, rapid discovery and analyzing low-observable WMD-related information from large, disparate WMD-related data sets from multiple types of networks, and to develop theories and representations for low observable WMD-related radical ideation from social networks. 

In general, all topic-specific and general thrust area submissions require pre-coordination. If a pre-application white paper is received without prior coordination, DTRA may not review it.The evaluation of all submissions will be conducted in two phases. Phase I is for receipt and evaluation of pre-application white papers in direct response to a published topic or by invitation based on the assessment of the idea by the Technical POC. Phase II is for receipt and evaluation of invited proposal applications. Invitation to the Phase II, invited proposal submission, will be based on the evaluation results of the Phase I pre-application white paper. 
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 
 
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
NSWCNEECFY17
Naval Surface Warfare Center (NSWC)
Naval Engineering Education Consortium (NEEC) Broad Agency Announcement for FY2017
Sponsor Deadline:  December 12, 2017 [UPDATED DEADLINE]
OSP Deadline:  December 5, 2017
Award Information: The funded amount and period of performance of each proposal selected for award may vary depending on the research area and the technical approach to be pursued by the offeror selected. The Government may make multiple awards. 
 
On behalf of the Naval Sea Systems Command (NAVSEA) Warfare Centers, NSWC is soliciting research of interest in support of the NEEC. The topics of interest include innovation for Big Data analysis tool development including: data classification, clustering, dimensionality reduction, predictive analysis, and visualization to include forensic and streaming data analysis.
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 28, 2018 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: The funded amount and period of performance of each proposal selected for award may vary depending on the research area and the technical approach to be pursued by the offeror selected. 

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.
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 December 8, 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. 

FBCommNetworking
Facebook Research
Communications and Networking Request for Proposals
Sponsor Deadline: December 7, 2017
Award Information: Up to $50,000. A total of 5 awards are available. Payment will be made to the proposer's host university as an unrestricted gift.

FBHardwareSoftware
Facebook Research
Hardware and Software Systems Request for Proposals
Sponsor Deadline: December 7, 2017
Award Information:  Up to $50,000. A total of 5 awards are available. Payment will be made to the proposer's host university as an unrestricted gift.

IARPABAA
Intelligence Advanced Research Projects Activity (IARPA)
IARPA-Wide Research Broad Agency Announcement
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.

IBMWorldCommGrid
IBM
World Community Grid
Sponsor Deadline: Rolling
Award Information:  Up to 150,000 years of computing power through World Community Grid; weather data from The Weather Company, an IBM Business; and cloud storage from IBM Cloud
 
MicrosoftAzure
Microsoft Azure for Research
Sponsor Deadlines: Vary by program (see below)
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.
 
NASAPSIAppendixD
Appendix D: Use of the NASA Physical Sciences Informatics System for Combustion Science, Complex Fluids, Fluid Physics, Fundamental Physics, and Materials Science
Sponsor Deadline: December 15, 2017
OSP Deadline: December 8, 2017
Award Information Up to $100,000 per year for up to 2 years. Approximately 5 investigations will be selected from this Appendix, including both established researcher and graduate student proposals.
 
This Appendix solicits ground-based research proposals to utilize NASA's Physical Sciences Informatics (PSI) system ( https://psi.nasa.gov/) to develop new analyses and scientific insights. The PSI system is designed to be a resource for researchers to data mine information generated from completed reduced-gravity physical sciences experiments performed on the International Space Station (ISS), on Space Shuttle flights, and on Free Flyers, or from related ground-based studies. Specifically, this call is for the utilization of data from investigations that are currently available in the PSI system. The experiments were conducted as part of NASA's Physical Sciences Research Program in support of NASA's Space Life and Physical Sciences Research and Applications (SLPSRA) Division. This Appendix is soliciting proposals from established researchers and graduate students.
NSFCampusCI
Directorate for Computer & Information Science & Engineering (CISE)
Campus Cyberinfrastructure (CC*)
Sponsor Deadline: January 30, 2018
OSP Deadline: January 23, 2018
Award Information : See below  for program details
 
The Campus Cyberinfrastructure (CC*) program invests in coordinated campus-level networking improvements, innovation, integration, and engineering for science applications and distributed research projects. Learning and workforce development (LWD) in cyberinfrastructure is explicitly addressed in the program. Science-driven requirements are the primary motivation for any proposed activity.

CC* awards will be supported in four program areas:

(1) Data Driven Networking Infrastructure for the Campus and Researcher awards will be supported at up to $500,000 total for up to 2 years (5-10 awards anticipated);
(2) Network Design and Implementation for Small Institutions awards will be supported at up to $750,000 total for up to 2 years (5-10 awards anticipated);
(3) Network Integration and Applied Innovation awards will be supported at up to $1,000,000 total for up to 2 years (2-5 awards anticipated); and
(4) Network Performance Engineering and Outreach awards will be supported at up to $3,500,000 total for up to 4 years (1 award anticipated).
NSFCIS
Directorate for Engineering (ENG)
Civil Infrastructure Systems (CIS)
Sponsor Full Proposal Windows: January 10-24, 2018; September 1-17, 2018    
OSP Deadline: 5 business days prior to submission
Award Information The Division of Civil, Mechanical, and Manufacturing Innovation ( CMMI) is committed to supporting both single-investigator and team research, including larger-scale unsolicited proposals that are not feasible through a series of smaller projects and are not achievable by a single principal investigator (PI). These larger-scale proposals may request longer time frames (up to 5 years) and larger budgets (typically not exceeding $1,500,000) that reflect the scope of work.  
 
The Civil Infrastructure Systems (CIS) program supports fundamental and innovative research in the design, operation and management of civil infrastructure that contributes to creating smart, sustainable and resilient communities at local, national and international scales. This program focuses on civil infrastructure as a system in which interactions between spatially- and functionally-distributed components and intersystem connections exist. All critical civil infrastructure systems are of interest, including transportation, power, water, pipelines and others.

The CIS program encourages potentially disruptive ideas that will open new frontiers and significantly broaden and transform relevant research communities. CIS particularly welcomes research that addresses big data analytics. The CIS program values diverse theoretical, scientific, mathematical, or computational contributions from a broad set of disciplines.
NSFCRCNS
Directorate for Computer & Information Science & Engineering (CISE)
Collaborative Research in Computational Neuroscience (CRCNS)
Sponsor Deadlines: January 5, 2018; November 27, 2018; November 25, 2019    
OSP Deadline: 5 business days prior to submission
Award Information Award sizes for Research Projects (both domestic and international) are expected to range from approximately $100,000-$250,000 per year in direct costs, with durations of 3-5 years.  Awards for Data Sharing Projects will be scaled according to the needs of the project; typically they will be smaller in size than research awards. It is anticipated that a minimum of $5 million will be available each year for this competition. 
 
Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines.
Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), the United States-Israel Binational Science Foundation (BSF), and Japan's National Institute of Information and Communications Technology (NICT) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

Two classes of proposals will be considered in response to this solicitation:
  • Research Proposals describing collaborative research projects, and
  • Data Sharing Proposals to enable sharing of data and other resources.
Domestic and international projects will be considered. As detailed in the solicitation, international components of collaborative projects may be funded in parallel by the participating agencies. Specific CRCNS opportunities for parallel funding are available for bilateral US-German Research Proposals, US-German Data Sharing Proposals, US-French Research Proposals, US-French Data Sharing Proposals, US-Israeli Research Proposals, US-Israeli Data Sharing Proposals, US-Japanese Research Proposals, US-Japanese Data Sharing Proposals, and multilateral proposals involving the United States and two or more partnering countries.  NSF will coordinate and manage the review of proposals jointly with participating domestic and foreign funding organizations, through a joint panel review process used by all participating funders.  
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.
NSFCompMath
Directorate for Mathematical and Physical Sciences (MPS)
Computational Mathematics
Sponsor Proposal Windows: November 16-December 1, 2017; November 16-December 3, 2018
OSP Deadline: 5 business days prior to submission
Award Information : Award size and duration will be commensurate with the scope of the proposed project.
 
Computational Mathematics s upports mathematical research in areas of science where computation plays a central and essential role, emphasizing analysis, development and implementation of numerical methods and algorithms, and symbolic methods. The prominence of computation with analysis and ultimate implementation efficiency of the computational methods in the research is a hallmark of the program.  Proposals ranging from single investigator projects that develop and analyze innovative computational methods to interdisciplinary team projects that not only create and analyze new mathematical and computational techniques but also use/implement them to model, study, and solve important application problems are strongly encouraged.
NSFCompPhysics
Directorate for Mathematical and Physical Sciences (MPS)
Computational Physics
Sponsor Deadlines: Varies by program
OSP Deadline: 5 business days prior to submission
Award Information : Award size and duration will be commensurate with the scope of the proposed project.
 
Computational Physics (CP) supports research for computational and data-enabled science. The program emphasizes novel methods for high-performance computing, such as algorithm development and efficient use of novel architectures, that require significant code development. Priority will be given to proposals that, in addition to compelling scientific goals, have a computational advance or new enabling capability.

Computational Physics is the program through which the Physics Division participates in the Computational and Data-Enabled Science and Engineering (CDS&E) program. The Computational Physics program is focused on investigations relevant to disciplines supported by the Physics Division, while encouraging broader impacts on other disciplines. Disciplines within the purview of the Physics Division include: atomic, molecular, optical, plasma, elementary particle, nuclear, gravitational and biological physics, particle astrophysics, and accelerator science. Proposals with intellectual focus in areas supported by other NSF Divisions should be submitted to those divisions directly. Proposals that cross Divisional lines are welcome, but the Physics Division encourages PIs to request a co-review by naming other Divisional programs on the cover sheet. This facilitates the co-review and participation of other programs in the review process.
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.
NSFCISEREUSupp
National Science Foundation (NSF)
Directorate for Computer & Information Science & Engineering (CISE)
Dear Colleague Letter: Research Experiences for Undergraduates (REU) Supplemental Funding
Sponsor Deadline:  Rolling, though  priority will be given to requests submitted before March 30, 2018; the potential for funding requests after this date will be limited. 
OSP Deadline: 5 business days prior to submission
Award Information:  Up to $8,000 per student per year  (this amount usually covers the student's stipend, but a small portion of the funds can be used for other related purposes, e.g., student travel to a conference).  The duration for new requests is typically one year.  
 
The NSF Directorate for Computer and Information Science and Engineering (CISE) invites grantees with active CISE awards to submit requests for Research Experiences for Undergraduates (REU) Supplemental funding, following the guidelines in the NSF REU program solicitation [see Research Experiences for Undergraduates (REU): Sites and Supplements;  NSF 13-542]. A student must be a US citizen or permanent resident of the US. The proposed start date for a supplement must be after the conclusion of all existing REU supplements on the corresponding active CISE award. If requests for REU supplemental support exceed funds available in CISE, requests will be considered in the order received. REU supplemental funds can be used at any time during the year. 

For single investigator projects, CISE REU supplemental funding requests should typically be for no more than two students for one year. Research teams funded through multi-investigator projects may request support for a larger number of students, commensurate with the size and nature of their projects. REU stipend support helps retain talented students, while providing meaningful research experiences and encouraging research-based careers. The participation of students from groups underrepresented in computing - underrepresented minorities, women, and persons with disabilities - is strongly encouraged. In addition, CISE encourages REU supplements that specifically afford US veterans an opportunity to engage in meaningful research experiences.
NSFEarthScope
National Science Foundation (NSF)
Directorate for Geosciences (GEO)
EarthScope
Sponsor Full Proposal Window: July 24, 2017-February 12, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Approximately $6,000,000 is expected to be available in FY 2018 to support 15-25 awards under this solicitation, with a project duration of up to 3 years. 
 
EarthScope is an Earth science program to explore the 4-dimensional structure of the North American continent. The EarthScope Program provides a framework for broad, integrated studies across the Earth sciences, including research on fault properties and the earthquake process, strain transfer, magmatic and hydrous fluids in the crust and mantle, plate boundary processes, large-scale continental deformation, continental structure and evolution, and composition and structure of the deep Earth. In addition, EarthScope offers a centralized forum for Earth science education at all levels and an excellent opportunity to develop cyberinfrastructure to integrate, distribute, and analyze diverse data sets. 

This Solicitation primarily encourages submission of proposals that integrate and synthesize major outcomes of EarthScope research and education and outreach efforts with the goal of elucidating and documenting the advances the EarthScope program has made since its inception.  This Program also accepts single investigator or collaborative proposals to conduct scientific research and/or education and outreach activities within North America that:
  1. Make use of capabilities provided through, and/or data and/or models derived from, GAGE (Geodesy Advancing Geosciences and EarthScope), SAGE (Seismological Facilities for the Advancement of Geosciences and EarthScope), and/or SAFOD (San Andreas Fault Observatory at Depth);
  2. Further the scientific and educational goals of EarthScope, as described in the 2010 EarthScope Science Plan and/or EarthScope Education and Outreach Implementation Plan; and
  3. Do not make use of or require access to the SAFOD Main Hole or SAFOD Pilot Hole.
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 and fields.
NSFRETEngCompScience
National Science Foundation (NSF)
Research Experiences for Teachers (RET) in Engineering and Computer Science
Sponsor Deadline: September 19, 2018 for RET Site proposals; 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.  
 
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. 

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. 
NSFSPX
Directorate for Computer & Information Science & Engineering (CISE)
Scalable Parallelism in the Extreme (SPX)
Sponsor Deadline: January 9, 2018
OSP Deadline: January 2, 2018
Award Information: Up to $1M for 2-4 years.  Approximately $10M will be made available in FY 2018 to support up to 15-25 awards.
 
The Scalable Parallelism in the Extreme (SPX) program aims to support research addressing the challenges of increasing performance in today's modern era of parallel computing. This will require a collaborative effort among researchers in multiple areas, from services and applications down to micro-architecture. Each proposal is required to have two or more PIs providing different and distinct expertise relevant to the program's focus areas. SPX encompasses all five NSCI  Strategic Objectives, including supporting foundational research toward architecture and software approaches that drive performance improvements in the post-Moore's Law era; development and deployment of programmable, scalable, and reusable platforms in the national HPC and scientific cyberinfrastructure ecosystem; increased coherence of data analytic computing and modeling and simulation; and capable extreme-scale computing. Coordination with industrial efforts that pursue related goals are encouraged.

The SPX program aims to support transformative projects to re-evaluate and possibly re-design the traditional computer hardware and software stack for today's heterogeneous, parallel, concurrent, and distributed systems. Within the general focus of cross-layer design, the SPX program is broadly interested in topics pertaining to Algorithms, Programming Languages and Systems, Applications, Architecture and Systems, Extensible Distributed Systems, and Performance Predictability. 
NSFSaTCJuly17
Secure and Trustworthy Cyberspace (SaTC)
Sponsor Proposal Windows:  December 6-13, 2017 for Cybersecurity Education projects
OSP Deadline: 5 business days prior to submission
Award Information:  Education projects may request up to $300,000 total budget for up to 2 years.  In FY 2018, NSF anticipates approximately 10 Education 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 are still being accepted in the following area:
  • EDU: The Education (EDU) designation will be used to label proposals focusing entirely on cybersecurity education. 
NSFStatistics
Directorate for Mathematical & Physical Sciences (MPS)
Statistics
Sponsor Proposal Window: October 23-November 7, 2018
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 Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects.
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)
FY18-FY22 Broad Agency Announcement for Extramural Medical Research
Sponsor Deadline for Pre-Proposals (required): Rolling through September 30, 2022 
OSP Deadline: 5 business days prior to submission
Award Information: No budget limits; award duration for research projects is up to 4 or 5 years, for conference/symposium awards duration is up to 2 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.
HRSAMCHDataAnalysis
R40 Maternal and Child Health (MCH) Secondary Data Analysis Research (SDAR) Program
Sponsor Deadline:  January 8, 2018
OSP Deadline: December 22, 2017
Award Information: The estimated size of awards is $100,000 for 1 year. 5 awards are anticipated.

This announcement solicits applications for the R40 Maternal and Child Health (MCH) Secondary Data Analysis Research (SDAR) Program. The MCH SDAR program supports applied MCH research that exclusively utilizes the secondary analysis of existing national databases and/or administrative records to improve the health and well-being of MCH populations. 
NIHDrugAbuseResearchR01
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01 Clinical Trial Optional)
Sponsor Deadlines:  February 5, 2018; June 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.   
NIHBRAINTheoriesMethModelsR01
BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trials Not Allowed)
Sponsor Deadline for Letters of Intent (requested):  30 days prior to application deadline
Sponsor Deadlines for Full Proposals: December 15, 2017; October 17, 2018; October 17, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are not limited, but are expected to range between $150,000 to $250,000 in direct costs per year. Awards are for 3 years of support. The NIH BRAIN Initiative anticipates providing $6M per year to fund up to 15 awards each year.

This FOA solicits new theories, computational models, and statistical tools to derive understanding of brain function from complex neuroscience data. Proposed tools could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting dynamical features and patterns in complex brain data. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to validity testing of the tools being developed.
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: June 7, 2018; February 7, 2019
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 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: 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.
NIHTumorAtlasU24
National Cancer Institute (NCI)
Human Tumor Atlas Network: Data Coordinating Center (U24)
Sponsor Deadline for Letters of Intent (requested): December 18, 2017
Sponsor Deadline for Full Proposals: January 18, 2018
OSP Deadline: January 10, 2018
Award Information: Application budgets are limited to $1.0M in direct costs per year for Years 1 and 2, and $2.35M in direct costs per year for Years 3-5 and must reflect actual needs of the proposed project. The maximum project period is 5 years.

This Funding Opportunity Announcement (FOA) is associated with the  Beau Biden Cancer Moonshot Initiative  that is intended to accelerate cancer research. The purpose of this FOA is to promote research that results in a comprehensive view of the dynamic multidimensional tumor ecosystem. Specifically, this FOA targets the following area(s) designated as a scientific priority by the Blue Ribbon Panel (BRP): Generation of Human Tumor Atlases.

Through this FOA, the National Cancer Institute (NCI) invites cooperative agreement applications to develop a Human Tumor Atlas Network (HTAN) Data Coordinating Center (DCC). The HTAN-DCC will have two major areas of responsibility: (1) Data Standards, Storage, Analysis, and Dissemination; and, (2) Consortium Coordination and Outreach. The HTAN-DCC will collect, store, curate, and disseminate all data, metadata, analysis and visualization tools, computational models, and completed atlases generated by the HTAN. Additionally, the DCC will lead the development of common data elements, data and metadata standards, clinical and epidemiological data requirements, and data processing pipelines. The DCC will also coordinate HTAN activities including in-person and virtual Network Steering Committee meetings and working groups. Finally, the HTAN-DCC will promote collaboration and communication among HTAN Investigators and the broader research community and coordinate the Network outreach activities.
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: June 14, 2018; November 20, 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: February 5, 2018 and June 5, 2018 for R01 applications; February 16, 2018 and June 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.
NIHNCIInformaticsUG3UH3
National Cancer Institute (NCI)
New Informatics Tools and Methods to Enhance U.S. Cancer Surveillance Research (UG3/UH3)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: April 16, 2018; November 30, 2018; April 16, 2019  
OSP Deadline:  5 business days prior to submission
Award Information: Budgets must not exceed $600,000 [i.e., no more than $300,000 per year for the first two years] in direct costs for the UG3 phase and $1,500,000 (direct costs) [i.e., no more than $500,000 per year for the last three years] during the UH3 phase. 

The goal of this FOA is to advance surveillance science by supporting the development of new and innovative tools and methods for more efficient, detailed, timely, and accurate data collection by cancer registries. Specifically, the FOA seeks applications for projects to develop, adapt, apply, scale-up, and validate tools and methods to improve the collection and integration of cancer registry data and to expand the data items collected. Applications must be built on partnership with U.S. population-based central cancer registries (a partnership must involve at least two different registries). Tools and methods proposed for development are expected to enhance the registry core infrastructure and, in so doing, expand the usefulness of registry-collected data to support high-quality cancer research. 

The scientific scope of this FOA includes but is not limited to: 
  • Development, validation, evaluation of scalable tools/methods to facilitate automatic/unsupervised extraction of specific data from various types of unstructured medical records as for example, pathology reports, diagnostic imaging, laboratory, discharge and clinical visits;
  • Supplementation of cancer registries with new or more detailed data items, from existing data sources or from linkages with novel data sources, e.g. electronic medical records (EMR).
Investigators applying to this FOA must apply for both the UG3 and UH3 phases together. The initial UG3 exploratory phase will be a feasibility study to demonstrate technical functionality and potential of the proposed tools/methods in a U.S. population-based central cancer registry by meeting specific performance milestones. UG3 projects that have met their milestones will be administratively considered by NCI and prioritized for transition to the UH3 validation phase. UH3 awards will support scalability, portability and implementation of the tools/methods in additional U.S. population-based central cancer registries (at least one more cancer registry).   
NIHGenomicCommResU24
Genomic Community Resources (U24)
Sponsor Deadline for Letters of Intent (requested): 60 days prior to the deadline
Sponsor Deadlines for Full Proposals: January 25, 2018; May 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 Deadline 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:  January 25, 2018; May 25, 2018
OSP Deadline: 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.
NIHNIAAADataAnalAlcoholRes
National Institutes of Health (NIH)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Secondary Analyses of Existing Alcohol Research Data (R01 and R03)
Sponsor Deadlines:  February 5, 2018 and June 5, 2018 for R01 proposals; February 16, 2018 and June 16, 2018 for R03 proposals
OSP Deadline: 5 business days prior to submission
Award Information:  For R01 awards, t he budget is not limited and the maximum project period is 5 years. For R03 awards, d irect costs are limited to $50,000 per year for up to 2 years.

These FOAs encourage the submission of investigator-initiated research grant applications to support the secondary analysis of existing data sets with the goal of enhancing our understanding of patterns of alcohol consumption, the epidemiology and etiology, including genetics, of alcohol-related problems. Research grants for the Secondary Analyses of Existing Alcohol Research Data are intended to provide support for studies that utilize currently available data sets to increase our understanding of the incidence, prevalence and etiology of alcohol related problems and disorders in the population, as well as the risk and protective factors associated with them. Research that employs analytic techniques which demonstrate or promote methodological advances in alcohol-related epidemiologic and Genetics/Genomics research is also of interest.
NIHHIV
Harnessing Big Data to Halt HIV (R01)
Sponsor Deadlines: January 7, 2018; May 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.
NIHIOTNU24
National Institutes of Health (NIH)
Immuno-Oncology Translation Network (IOTN): Cellular Immunotherapy Data Resource (CIDR) (U24)/Data Management and Resource-Sharing Center (DMRC) (U24)
Sponsor Deadline for Letters of Intent (requested): December 16, 2017
Sponsor Deadline for Full Proposals: January 16, 2018
OSP Deadline: January 9, 2018
Award Information: CIDR applicants may request a budget of up to $1.2M in direct costs per year for 5 years. DMRC applicants may request a budget of up to $750,000 in direct costs in FY 2018. The project period must be 5 years. One CIDR award and one DMRC award will be made.

These Funding Opportunity Announcements are associated with the  Beau Biden Cancer Moonshot Initiative that is intended to accelerate cancer research. Specifically, these FOAs target the following area designated as scientific priority by the Blue Ribbon Panel (BRP):  Recommendation B. Create a translational science network devoted exclusively to immunotherapy approaches to treat and prevent adult cancers. The goal of the network is to foster collaborative team science approaches to accelerate the discovery of new immune targets and evaluate novel immune-based therapies and combination approaches that eliminate established cancers in adults or to prevent cancers before they occur. 
 
The CIDR FOA seeks to establish a Data Resource associated with clinical trials in cellular immunotherapy as a component of the Immuno-Oncology Translation Network (IOTN). The purpose of the DMRC FOA is to establish a Data Management and Resource-sharing Center to provide overall support for the Immuno-Oncology Translational Network (IOTN) and to integrate the research activities of the IOTN with other Cancer Moonshot Initiative programs.
NIHNIGMS
National Institutes of Health (NIH)
National Institute of General Medicine (NIGMS)
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadlines: February 5, 2018; May 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 15-332) (PAR 15-333)
National Cancer Institute (NCI) 
Informatics Resources/Technologies for Cancer Research and Management (U24 and U01)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: June 14, 2018; November 20, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Early-Stage Development b udgets are limited to $300,000 in Direct Costs (excluding consortium F&A costs) per year for up to 3 years.  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 three Program Announcements: PAR-15-331: Advanced Development of Informatics Technologies for Cancer Research and Management (U24); PAR-15-332: Early-Stage Development of Informatics Technologies for Cancer Research and Management (U01);  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. 

The purpose of FOA PAR-15-332,  Early-Stage Development of Informatics Technologies for Cancer Research and Management (U01), is to invite Cooperative Agreement (U01) applications for the development of enabling informatics technologies to improve the acquisition, management, analysis, and dissemination of data and knowledge across the cancer research continuum including cancer biology, cancer treatment and diagnosis, cancer prevention, cancer control and epidemiology, and/or cancer health disparities. As a component of the NCI's Informatics Technology for Cancer Research (ITCR) Program, this FOA focuses on early-stage development from prototyping to hardening and adaptation. Early-stage development is defined for the purpose of this FOA as the initial development or the significant modification of existing tools for new applications. 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): September 4, 2018
Sponsor Deadline for Full Proposals: October 4, 2018
OSP Deadline: September 27, 2018
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:  February 16, 2018; June 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 Clinical Trial Optional)
Sponsor Deadline for Letter of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: February 5, 2018; June 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.
NIHNIDDKSecAnalysisR21
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Secondary Analyses in Obesity, Diabetes and Digestive and Kidney Diseases (R21 Clinical Trial Optional)
Sponsor Deadline:  February 16, 2018
OSP Deadline: February 9, 2018
Award Information:  Direct costs are limited to $275,000 over an R21 two-year period, with no more than $200,000 in direct costs allowed in any single year.  The maximum project period is 2 years. 

This Funding Opportunity Announcement encourages R21 applications that propose to conduct secondary analyses of existing data sets relevant to diabetes and selected endocrine and metabolic diseases including thyroid, parathyroid and Cushing's diseases and acromegaly; and genetic metabolic disease including cystic fibrosis, lysosomal storage diseases, and disorders of the urea cycle, amino acid metabolism and metal transport where the focus is on peripheral metabolism or organ function; obesity, liver diseases, alimentary GI tract diseases and nutrition; kidney, urologic, and hematologic diseases. The goal of this program is to facilitate research that explores innovative hypotheses through the use of existing data sets. 
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: February 5, 2018; June 5, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Up to  $2,500,000 in direct costs 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: February 12, 2018; June 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 in 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: February 5, 2018; June 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.
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:  February 5, 2018 and June 5, 2018 for R01 proposals; February 16, 2018 and June 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.
NIHSimModelingHealthDispR01
Simulation Modeling and Systems Science to Address Health Disparities (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: January 10, 2018; June 6, 2018; January 8, 2019; June 7, 2019
OSP Deadline: 5 business days prior to submission
Award Information:  Applications may request up to $250,000 in direct costs each year. The project period may not exceed 4 years.

The purpose of this FOA is to support investigative and collaborative research focused on developing and evaluating simulation modeling and systems science to understand and address minority health and health disparities.

Although no simulation models can replace real world settings or scenarios, many are becoming indispensable for decision making, such as national or local pandemic planning, and can have a profound impact on health policies relevant to minority health and health disparities. The field of SMSS may help to guide health disparities research, in identifying causal inference and what types of situations will be most amenable to research, policy, and practice interventions and in implicating where leverage may be best applied for any health disparity population. Electronic health records, mobile health technologies, smart devices, sensors, and high-end laboratory technologies have greatly expanded the availability of rich data for more accurate simulation and modeling under the systems perspective. Many innovative methods have been developed to help harmonize disparate data across diverse sources and guide informed decision making. Traditional study design and statistical methods need to be rethought in the context of big data and high-performance computing to tackle disparities among diverse populations including those with limited and small samples. Thus, it is important to advance SMSS using new big data technologies to understand the etiology of health disparities and guide intervention development and implementation.
NSFCogNeuro
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro) 
Sponsor Deadlines: February 12, 2018; August 13, 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. 
Education and Training
AERA
American Educational Research Association (AERA)
AERA Research Grants
Sponsor Deadline: January 17, 2018
OSP Deadline: January 9, 2018
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.
NEHDHInstitutes
National Endowment for the Humanities (NEH)
Institutes for Advanced Topics in the Digital Humanities
Sponsor Deadline: March 13, 2018
OSP Deadline: March 6, 2018
Award Information: Awards normally range from $50,000 to $250,000, and project periods are between 1 and 3 years.
 
The Institutes for Advanced Topics in the Digital Humanities program supports national or regional (multistate) training programs for scholars, humanities professionals, and advanced graduate students to broaden and extend their knowledge of digital humanities. Through this program NEH seeks to increase the number of humanities scholars and practitioners using digital technology in their research and to broadly disseminate knowledge about advanced technology tools and methodologies relevant to the humanities.

The projects may be a single opportunity or offered multiple times to different audiences. Institutes may be as short as a few days and held at multiple locations or as long as six weeks at a single site. These professional development programs may focus on a particular computational method, such as network or spatial analysis. They may also target the needs of a particular humanities discipline or audience. NEH strongly encourages applicants to develop proposals for multidisciplinary teams of collaborators that will offer the necessary range of intellectual, technical, and practical expertise.
NSFSTEMComputing
National Science Foundation (NSF)
Directorate for Education & Human Resources (EHR)
Dear Colleague Letter: Discovery Research PreK-12: Advancing STEM+Computing
Sponsor Deadline:  EAGER proposals may be submitted on a rolling basis
OSP Deadline: 5 business days prior to submission
Award Information: EAGER awards will be made up to $300k with duration up to 2 years.
 
The  Discovery Research PreK-12 program (DRK-12), in its effort to significantly enhance the learning and teaching of science, technology, engineering, mathematics (STEM) and computer science by preK-12 students and teachers, is encouraging investigators through this Dear Colleague Letter (DCL) to submit proposals studying the integration of computing and/or computational thinking within disciplinary STEM learning and teaching in formal STEM education.

Through this DCL, researchers may submit EArly-concept Grants for Exploratory Research (EAGER) proposals. EAGER proposals are to support exploratory work in its early stages on untested, but potentially transformative, research ideas or approaches. An EAGER proposal submitted in response to this DCL would propose exploratory research studying the integration of STEM and computing.  PI(s) must contact the NSF Program Officer(s) whose expertise is most germane to the proposal topic prior to submission of an EAGER proposal. 
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.
NSFCyberTraining2018
Directorate for Computer & Information Science & Engineering (CISE)
Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)
Sponsor Deadline: February 14, 2018
OSP Deadline: February 7, 2018
Award Information: $300,000-$500,000 for up to 3 years. 7-11 awards are anticipated.

The overarching goals of this program are to (i) prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) that enables potentially transformative fundamental science and engineering research and contributes to the Nation's overall economic competitiveness and security; (ii) ensure broad adoption of CI tools, methods, and resources by the fundamental science and engineering research community to enable new modes of discovery; and (iii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, and services for advanced computation, data handling, networking, and security that collectively enable potentially transformative fundamental research. 

The CyberTraining program focuses on three scientific communities, and, correspondingly, offers three tracks for project submission (these should be aligned with the research and education priorities of the domain directorates and the Office of Advanced Cyberinfrastructure):
  1. CI Professionals (CIP): This is the community of research CI and professional staff who explore, develop, deploy, manage, and support effective use of research CI. The CIP track is for technical and research CI professional skills development of future CI professionals, including undergraduate and graduate students, postdoctoral fellows, and research scientists, and for skills refinement and career development of current CI professionals.
  2. CI Contributors (CIC): This is the community of computational and data scientists and engineers who research and develop new CI capabilities, approaches, and methods. The CIC track is for contributor-level CI skills and advanced domain skills development; the target population spans graduate and undergraduate students, postdoctoral fellows, and researchers who are current and future CI Contributors.
  3. CI Users (CIU): This is the community of domain scientists and engineers who effectively exploit advanced CI capabilities and methods for research. The CIU track is for user-level core literacy in advanced CI as well as computational and data science and engineering skills; the target population spans undergraduate and graduate students, postdoctoral fellows, and researchers who are the current and future CI Users.
The CyberTraining program is led by the Office of Advanced Cyberinfrastructure (OAC) in the Directorate for Computer and Information Science and Engineering (CISE) and has participation from several directorates and divisions, each of which have their won programmatic areas of interest. Of particular interest to the Big Data community, CISE's IIS division encourages data science-related proposals conducted in collaboration with the NSF-funded Big Data Regional Innovation Hubs and Spokes (BD Hubs and Spokes). ENG's Division of Electrical, Communications, and Cyber Systems (ECCS) has a special interest in proposals focused on machine learning and big data analytics to enable real-time, efficient data learning and feature extraction from massive noisy data.
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