March 2018

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.
News and Resources
Upcoming IARPA Broad Agency Announcements
IARPA anticipates releasing two BAAs later this year which may be of interest to the Big Data community. The Molecular Information Storage (MIST) Program will call for proposals for the development of deployable storage technologies that can eventually scale into the exabyte regime and beyond with reduced physical footprint, power and cost requirements relative to conventional storage technologies. The Better Extraction from Text Towards Enhanced Retrieval (BETTER) Program aims to develop enhanced methods for personalized, multilingual semantic extraction and retrieval from text. Both programs are envisioned to begin in late 2018 or early 2019.
 
The NIH seeks comments on any of the following topics related to its first Strategic Plan for Data Science: t he appropriateness of the goals of the plan and of the strategies and implementation tactics proposed to achieve them; o pportunities for NIH to partner in achieving these goals; a dditional concepts that should be included in the plan; p erformance measures and milestones that could be used to gauge the success of elements of the plan and inform course corrections; or a ny other topic the respondent feels is relevant for NIH to consider in developing this strategic plan. Responses to this RFI must be submitted electronically by April 2, 2018.

NSF is providing nearly $30 million in new funding for research in data science and engineering through its Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA) program.
NSF's awards are paired with support from Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, which have each committed up to $3 million in cloud resources for relevant BIGDATA projects.

Harnessing the Data Revolution (HDR)  is one of the " 10 Big Ideas for Future NSF Investments"  and provides a profound opportunity to transform research across all fields of science and engineering through new insights gained from data.
Funding Opportunities for Big Data
Social Science
 (Computer) Science and Engineering
Biomedical Science
Education and Training

*  Indicates a funding announcement that was updated or added to the newsletter this month.

Social Science
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. 5% is allowed for overhead.  This amount falls short of the 15% overhead required by FAS/SEAS policy. Please discuss with your grants administrator before preparing an application.

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?
DARPAUGB
Defense Advanced Research Projects Agency (DARPA)
Disruption Opportunity Special Notice - Understanding Group Biases (UGB)  
Sponsor Deadline:  April 11, 2018
OSP Deadline: April 4, 2018
Award Information:  Up to $1M (the Phase 1 (base) award value should not exceed $150,000 and the Phase 2 (option) award value should not exceed $850,000). The period of performance is 18 months.

The objective of the UGB program is to test whether there may be new capabilities for radically enhancing the scale, speed, and scope of automated ethnographic-like methods for capturing group biases and cultural models from increasingly available large digital datasets.
 
Proposals must address two independent and sequential project phases (a Phase 1 Feasibility Study (base) and a Phase 2 Proof of Concept (option)). Phase 1 objectives are to secure access to relevant, publicly available datasets; evaluate the appropriateness of machine learning approaches; determine and justify the necessary level(s) of analyses for datasets and cultural model detection; provide early evidence of the technical credibility for use case scenario(s) for their algorithms and prototypes; and outline specific validation approaches. Phase 2 objectives are to develop and test algorithms on identified datasets to derive cultural models and group biases from those datasets; instantiate algorithms and prototypes in one or more use case scenarios; validate algorithms; and transition prototypes and/or identify further promising research avenues for future UGB capabilities.
MCCPartnerships2018
Notice of Funding Opportunity (NOFO) Annual Program Statement (APS): Partnerships with MCC Program
Sponsor Deadlines: March 30, 2018; May 31, 2018; July 31, 2018; November 8, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Award amounts vary by technical area. The period of performance is up to 5 years. Partnership applications must provide cost share from 2-10%, or matching funding up to 10%, or leverage funding with a ratio of 1:1 or higher.
MCC is seeking partners to work towards achieving its mission of poverty reduction through growth. Partners may include academic and research institutions, businesses, non-governmental organizations, development-oriented investors, philanthropies and foundations, think tanks, other donors, or other public and private sector entities. Through the APS, MCC aims to foster proactive collaboration and engagement among MCC and the partner(s) around specific areas for collaboration, co-financing, catalytic investment, and innovation that advance MCC's mission. By partnering with other entities in the public, private, and civil sectors, MCC and its country counterparts can increase the scale, impact, and sustainability of MCC compact and threshold program investments.

Open partnership opportunities related to big data include: 
  • Data Collaboratives for Local Impact (DCLI) in Tanzania and Cote d'Ivoire
  • High Frequency Monitoring Data
  • Data Collection and Analysis in Sri Lanka
NSFCogNeuroReproducibility
Directorate for Social, Behavioral and Economic Sciences (SBE)
Dear Colleague Letter: Achieving New Insights through Replicability and Reproducibility
Sponsor Deadline: June 11, 2018
OSP Deadline: June 4, 2018
Award Information: Up to $600,000 for 3-4 years
NSF's Directorate for Social, Behavioral and Economic Sciences (SBE) encourages submission of proposals that target reproducibility and replicability efforts in data-intensive domains and that specifically rely on analysis of neuroimaging or neuroelectric data, including but not limited to electroencephalography, magnetoencephalography, electrocorticography and functional neuroimaging. SBE considers these areas as targets for support across several content domains, given increased cognizance of potential concerns about analytic assumptions and derived workflows and increased community awareness of the need to define and publicize best practices for analyzing, documenting, managing and disseminating large datasets. 

The current DCL encourages the submission of proposals that use replication, reproduction and generalization for the purpose of testing new ideas. Research questions should fall within the content domain of any of the following NSF programs: Cognitive Neuroscience, Perception, Action, and Cognition, and Science of Learning. NSF expects that these activities will aid in verification of prior findings, disambiguate among alternative hypotheses and serve to build a community of practice that engages in thoughtful reproducibility and replicability efforts. The suggested research must demonstrate clear potential for generating new scientific advances and discoveries, beyond simply rejecting or corroborating prior findings.
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 25, 2019
OSP Deadline: 5 business days prior to submission
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: August 3, 2018; February 4, 2019
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 24, 2018
Sponsor Deadline for Full Proposals (if invited): August 15, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Project awards up to $150,000 for up to 2 years are available, including 15% overhead. RSF also offers President's awards  with a maximum budget of $35,000 ($50,000 if new data collection/access costs are included). Overhead is not allowed on President's awards. Since this amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

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. 5% is allowed for overhead.  This amount falls short of the 15% overhead required by FAS/SEAS policy. Please discuss with your grants administrator before preparing an application.

Connected Internet of Things (IoT) devices provide many new opportunities and benefits for manufacturers and consumers. The ubiquitous nature of IoT connectivity enables new use cases in connected manufacturing, connected cars, connected spaces, smart cities and other market verticals.  However, the security of IoT has not kept pace with the fast innovation and deployment of solutions creating significant safety and economic risks. The growing number of IoT devices, systems, and services increases the attack surface making the solutions more vulnerable to cyber-attacks. Recent Distributed Denial of Service (DDoS) attacks against Internet service providers and commercial entities were carried out by a diverse network of botnets made up of compromised set-top devices and other consumer products. Therefore, assuring the security of each component within an IoT solution is crucial in keeping malicious actors from using it in an unauthorized manner.  In addition, IoT devices enable massive data collection and analysis. The analysis of this data will allow previously unknown relationships between things to be discovered which causes a big concern for the privacy of individuals, businesses (including IP protection), groups, and governments. Since the analysis of data is essential for the value of IoT, strong consideration must be given to data privacy and data protection throughout its lifecycle.
DOCNIST
United States Department of Commerce (DOC)
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grant Program for the Information Technology Laboratory (ITL) 
Sponsor Deadline: Rolling 
OSP Deadline: 5 business days prior to submission
Award Information: $10,000-$500,000, with project periods of up to 5 years. In FY16, the ITL Grant Program funded 44 new awards totaling $6,179,898.
 
The ITL Grant Program provides financial assistance to support the conduct of research or a recipient's portion of collaborative research in the broad areas of Advanced Network Technologies, Big Data, Biometrics, Cloud Computing, Cyber-Physical Systems, Forensic Science, Information Access, Information Processing and Understanding, Cybersecurity, Health Information Technology, Human Factors and Usability, Applied and Computational Mathematics, Mathematical Foundations of Measurement Science for Information Systems, Metrology Infrastructure for Modeling and Simulation, Privacy Engineering, Software Testing, Statistics for Metrology and Statistical Methods in Forensic Science. See http://www.nist.gov/itl/ for more information about ITL. Proposals on product development and commercialization are not considered responsive to this funding opportunity. Financial support may be provided for conferences, workshops, or other technical research meetings that are relevant to the mission of ITL.
DODASFOR
United States Department of Defense (DoD)
Air Force Office of Scientific Research (AFOSR)
Broad Agency Announcement: Research Interests of the Air Force Office of Scientific Research - Information and Networks (RTA2) - Research Grants and Conference & Workshop Support
Sponsor Deadline: Rolling (current BAAs are active until superseded)
OSP Deadline: 5 business days prior to submission 
Award Information: Research proposals budgeting between $200,000 and $400,000 per year are encouraged. Most awards are 3 years in duration, and may not exceed 5 years. Conference and workshop grants up to $100,000 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.
DoDAFRLAMUSED
Air Force Research Laboratory (AFRL), Information Directorate
Adaptive Multi Source Exploitation of Documents (AMUSED)
Sponsor Deadline: Rolling through September 30, 2022
OSP Deadline: 5 business days prior to submission
Award Information: Individual awards will not normally exceed 36 months with dollar amounts normally ranging from $100,000-$900,000 each. Total funding for this BAA is approximately $24.9M. 

The Information Directorate, Information Fusion Branch, is soliciting white papers under this announcement for unique and innovative technologies to explore and develop Adaptive Multi Source Exploitation of Documents (AMUSED) capabilities including but not limited to, analytics, analytical tools, algorithm developments, projects, and experiments that will provide the Air Force the means to better conduct analytical operations in support of their Intelligence, Surveillance, and Reconnaissance mission including Cyber. This announcement is comprised of three research areas: (1) Global Threat Discovery and Identification (GTD-ID); (2) Emerging Threat Analytics (ETA); and (3) Text Analytics for Cyber Domain (TA4CD), where each has research areas that taken together comprise the focus of AMUSED research and development.   
DODAFRLArmamentTech
Air Force Research Laboratory (AFRL), Munitions Directorate
Armament Technology Broad Agency Announcement
Sponsor Deadline: Rolling through March 12, 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 $500M.

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.
DoDAFRLEAST
Air Force Research Laboratory (AFRL), Information Directorate
Enterprise Architecture Solutions Technology (EAST)
Sponsor Deadline: Rolling through September 30, 2021
OSP Deadline: 5 business days prior to submission
Award Information: Individual awards will not normally exceed 36 months with dollar amounts normally ranging from $500,000-$3M. There is also the potential to make awards up to any dollar value. Total anticipated funding for this BAA is approximately $49.9M. 

The Air Force Research Laboratory is soliciting white papers under this Broad Agency Announcement for research, development, integration, test and evaluation of technologies/techniques to provide segments of the Intelligence Community (IC) with information sharing capabilities to enable access to data, knowledge-based information, and model-based reasoning to meet their operational needs in the satisfaction of their mission objectives.   The sub-disciplines of interest to this solicitation include: security; assured cloud computing use; system integration to achieve optimal operations; mobile cloud framework; application service technologies; mission service technologies (technologies in the area of Big Data visualization and virtual reality data modeling are necessary in support of field mission users); and organizational compliancy.
DoDAFRLMINOTAUR
Air Force Research Laboratory (AFRL), Information Directorate
Multi-INt Operations Technologies and Unification Research (MINOTAUR)
Sponsor Deadline: Rolling through September 30, 2020
OSP Deadline: 5 business days prior to submission
Award Information: Individual awards will not normally exceed 36 months with dollar amounts normally ranging between $1M-$3M. Total anticipated funding for this BAA is approximately $24.9M. 

The objective of this BAA is to incrementally deliver a suite of tools and technologies to enhance Open Architecture Intelligence Information Systems from the sensor through the analyst, chain of command, and out to the operational units. This effort will research, develop, test, and evaluate new methods for integrating multiple intelligence sources and improving the fusion, processing and exploitation of raw source data from the battlefield to actionable mission criteria through assured and adaptable technologies. These tools and technologies will be able to securely share information and integrate new sensors and sources of data. Additionally, this effort is intended to advance baseline performance beyond what is currently operational or fielded.

Research efforts under this program are expected to result in next generation tools and technologies, which incrementally deliver a suite of Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) capabilities. These capabilities will provide a myriad of decisive advantages such as: 1) Integration/modernization of intelligence based Open Architectures, 2) Integrate new sensors and sources of data into the enterprise in rapid and agile fashion, 3) Develop tools and technologies for fusion, processing and exploitation of raw intelligence, and 4) Speedy access to intelligence products based on mission need. The effectiveness of this research and development will be assessed through testing and evaluation activities. Technology innovations that deliver new or improved operational capabilities are of high interest. Offerors are encouraged to describe the pre-conditions that are necessary for the proposed techniques to work effectively.
DoDAFRLStreamlinedML
Air Force Research Laboratory (AFRL), Information Directorate
StreamlinedML: An Extensible End-to-End Machine Learning System and Advanced Learning Algorithm Development
Sponsor Deadline: Rolling through September 30, 2020
OSP Deadline: 5 business days prior to submission
Award Information: For TA1, the period of performance should be approximately 30 months with dollar amounts of approximately $2M. For TA4, period of performance should be approximately 24 months with dollar amounts of approximately $600,000. For other technical areas, period of performance should be approximately 12 months with dollar amounts of approximately $400,000. There is also the potential to make awards up to any dollar value. Total funding for this BAA is approximately $24.9M. 

AFRL is seeking innovative research proposals in the development of an open, end-to-end machine learning framework to revolutionize how the AF/DoD designs, develops, trains, evaluates, and deploys machine learning capabilities. Specifically, this effort is focused on addressing the engineering and research efforts necessary for the realization of a high-performance machine learning (ML) system with emphasis on extensibility, (re)usability, ease of deployment, and scalability. Additionally, this effort seeks to establish an ML ecosystem, built upon the framework, consisting of large-scale data and model repositories, diverse state-of-the-art ML methods, and comprehensive evaluation capabilities to be made available to and built upon by AF/DoD and partners. The Government calls the realization of this framework and ecosystem StreamlinedML, as the goal of this system is to streamline the end-to-end process of practically using machine learning for AF/DoD tasks.

The StreamlinedML program is divided into five technical areas (TAs):

TA1: Machine learning framework
TA2: Suite of state-of-the-art (SOTA) machine learning methods
TA3: Data-efficient machine learning methods
TA4: User Interface, machine learning workflows, performance evaluation & visualization
TA5: Data curation & demonstration

Proposers may submit offers on any technical area individually or any combination of technical areas thereof.
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.
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 September 21, 2018)
OSP Deadline: 5 business days prior to submission
Award Information: The amount of resources made available under this BAA will depend on the quality of the proposals received and the availability of funds.  Multiple awards are anticipated.
 
DARPA is seeking innovative ideas and disruptive technologies that provide the U.S. military significant capability improvement to dominate across all scales of conflict intensity. These span highly contested force-on-force conflicts to ambiguous, complex "Gray Zone" conflicts. Technologies should support conflicts that may take place in a range of environments from austere, remote locations to dense megacities. The Strategic Technology Office (STO) focus areas within these broader objectives include: Situation Understanding, Multi-Domain Maneuver, Hybrid Effects, System of Systems (SoS), Maritime Systems, System of System Enhanced Small Units (SESU), and Foundational Strategic Technologies and Systems.

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

Applicants are strongly encouraged to submit an Executive Summary and/or Abstract in advance of a full proposal.
DODDTRA
United States Department of Defense (DoD)
Defense Threat Reduction Agency (DTRA)
Fundamental Research to Counter Weapons of Mass Destruction
Sponsor Deadline: Rolling (current BAA is active until September 2024 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: Grants may range from small dollar value (e.g., $25,000) 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)
2018 Broad Agency Announcement
Sponsor Deadline:  Rolling (current BAA is active until January 31, 2019 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information:  Not specified 
 
The U.S. Army Engineer Research and Development Center (ERDC) has issued a Broad Agency Announcement (BAA) for various research and development topic areas. The U.S. Army Engineer Research and Development Center (ERDC) includes the Coastal and Hydraulics Lab (CHL), the Geotechnical and Structures Lab (GSL), the Reachback Operations Center (UROC), the Environmental Lab (EL) and the Information Technology Lab (ITL) in Vicksburg, Mississippi, the Cold Regions Research and Engineering Lab (CRREL) in Hanover, New Hampshire, the Construction Engineering Research Lab (CERL) in Champaign, Illinois, and the Geospatial Research Laboratory (GRL) in Alexandria, Virginia. The ERDC is responsible for conducting research in broad fields including remote sensing, computer science, telecommunications management, energy, materials and structures, engineering processes, environmental processes, and ecological processes. This research is conducted by Government personnel and by contract with educational institutions, non-profit organizations and private industries. In addition to research grants, the ERDC supports conferences and symposia in special 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.
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
Award Information: Not specified

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
DoDONRNavalAI
United States Department of Defense (DoD)
Office of Naval Research (ONR)
Special Program Announcement for 2018 ONR Basic Research Opportunity: "Advancing Artificial Intelligence for the Naval Domain"
Sponsor Deadline for White Papers (strongly encouraged): March 22, 2018
Sponsor Deadline for Full Proposals: May 11, 2018
OSP Deadline: 5 business days prior to submission
Award Information: Up to $500,000/year for 4 years. Multiple awards are anticipated under each Topic Area. 
 
 
ONR is specifically interested in the following Topic Areas:
  1. Integration of Domain Knowledge and Machine Learning
  2. Artificial Intelligence in support of Collaborative Complex Decision-Making
  3. Decentralized Perception and Planning in Dynamic Environments 
DODONR
United States Department of Defense (DoD)
Office of Naval Research (ONR)
FY18 Long Range 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. Under this area, the Division sponsors basic and applied research, and advanced technology development efforts, 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. 

This BAA solicits proposals against a broad range of night vision technologies which support the Warfighter and challenges of Asymmetric Warfare.

Under the Innovative Technologies Technical Area, proposals will be considered two times per year - March 30 and August 15. Proposals are sought from universities for basic and applied research in a wide variety of topic areas including, but not limited to, materials science, microelectronics, RF, chip-scale sensors, computing & processing, algorithms, optoelectronics, electrooptics and infrared, devices, photonics, imaging, big data, embedded systems, modeling & simulation and bioengineering.
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 March 23, 2018 or until superseded)
OSP Deadline: 5 business days prior to submission
Award Information: Awards in FY15 ranged from $2,000/year to $4M/year. It is anticipated that approximately $400M 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. 

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

The priority areas for ASCR include the following:
  1. Develop mathematical models, methods and algorithms to accurately describe and predict the behavior of complex systems involving processes that span vastly different time and/or length scales.
  2. Advance key areas of computer science that enable the design and development of extreme scale computing systems and their effective use in the path to scientific discoveries; and transform extreme scale data from experiments and simulations into scientific insight.
  3. Advance key areas of computational science and discovery that support the missions of the Office of Science through mutually beneficial partnerships.
  4. Develop and deliver forefront computational, networking and collaboration tools and facilities that enable scientists worldwide to work together to extend the frontiers of science.
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.

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

IARPA's areas of interest include Analysis, which focuses on maximizing insights from the massive, disparate, unreliable and dynamic data that are - or could be - available to analysts, in a timely manner. IARPA is pursuing new sources of information from existing and novel data, and developing innovative techniques that can be utilized in the processes of analysis. Analysis research efforts are diverse across technical disciplines but have the following common features: (a) they create technologies that can earn the trust of the analyst user by providing the reasoning for results; and (b) they address data uncertainty and provenance explicitly. Within the Analysis area, IARPA is particularly interested in rigorous mathematical or probabilistic research on state-of-the-art, or novel techniques for improving the understanding of machine learning that leads to significant progress in generalization and repeatability of learning algorithms in applications involving big data mining or high volume data streams.
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.
 
NASADualUseCAN2018
Dual Use Technology Development Cooperative Agreement Notice (CAN) 2018
Sponsor Deadline for Notices of Intent (required): Rolling through September 30, 2018    
OSP Deadline: 5 business days prior to submission
Award Information :  The budget must be sufficient and reasonable to accomplish the project. The participating partner will contribute an equal value of resources to match the NASA funding for the project. 
 
John C. Stennis Space Center (SSC) is the primary NASA rocket propulsion testing center. SSC tests items ranging from multi-engine stages to individual components of rocket engines. Propulsion test customers include NASA, the Department of Defense and the commercial space launch industry. SSC manages a large federal city that is home to over forty federal, state, university and industry entities. SSC manages a restricted airspace that is available for development, testing and operation of unmanned aerial vehicles. SSC engineering laboratories design and test electronics, sensors, algorithms and mechanical components. This CAN supports identification and implementation of cost-sharing partnerships to  develop technology to meet a specific NASA need at SSC. This notice seeks responses from potential partners interested in entering into a Cooperative Agreement with NASA for the joint development of technologies to meet SSC needs.
 
SSC technology interests include big data processing and analysis, particularly as they relate to HPC & cloud computing; real-time, high-speed, streaming data analytics; and predictive monitoring and forecasting.
NSFAlgorithmsThreatDetect
Directorate for Mathematical & Physical Sciences (MPS)
Algorithms for Threat Detection (ATD)
Sponsor Deadline: February 19, 2019
OSP Deadline: February 11, 2019
Award Information :  The estimated number of awards and funding amounts are subject to the availability of funds. The total anticipated funding amount for ATD is $3M annually.  
 
The Algorithms for Threat Detection (ATD) program will support research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the National Geospatial Intelligence Agency (NGA).
NSFCISEResearchInfrastructure
Directorate for Computer & Information Science & Engineering (CISE)
CISE Research Infrastructure (CRI)
Sponsor Deadline for Preliminary Proposals (required): November 7, 2018
Sponsor Deadline for Full Proposals: January 10, 2019
OSP Deadline: 5 business days prior to submission
Award Information : Institutional Infrastructure ( II) proposals may request up to $1M total for project durations not to exceed 3 years. Community Infrastructure Planning (CI-P) will fund grants of up to $100,000 for durations of up to 1.5 years. CI New (CI-NEW) and CI Enhancement (CI-EN) will fund grants of up to $2M for durations of up to 3 years. CI Sustainability (CI-SUSTAIN) will fund grants of up to $1M for durations of up to 3 years.  U p to 15 II awards and up to 15 CI awards will be made in each competition.  
 
The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions by supporting the creation and enhancement of world-class research infrastructure that will support focused research agendas in computer and information science and engineering. This infrastructure will enable CISE researchers to advance the frontiers of CISE research.

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

Please note that organizations are limited to submitting three Institutional Infrastructure proposals in response to this Program Announcement (t here is no limit on Community Infrastructure proposals per competition). If you are interested in submitting an Institutional Infrastructure proposal, please contact Erin Hale in FAS Research Development at  [email protected].
NSFCIS
Directorate for Engineering (ENG)
Civil Infrastructure Systems (CIS)
Sponsor Full Proposal Window: 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 $1.5M) 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: 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 $5M 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.
NSFCDSEMSS
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 Full Proposal Window: November 25-December 10, 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. Recent awards have ranged from $15,000-$2.8M.
 
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 Window: 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: Vary 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.
NSFCSForAll
Computer Science for All (CSforAll:RPP)
Sponsor Deadlines: May 9, 2018; February 12, 2019
OSP Deadline: 5 business days prior to submission
Award Information :  Small  proposals can request up to $300,000 for up to 2 years.  Medium  proposals may request up to $1M for up to 3 years. Large proposals can request a maximum of $2M for up to 4 years. NSF anticipates making approximately 10 small, 11 medium, and 3 large awards, totaling $20M, under this program.
 
This program aims to provide all U.S. students the opportunity to participate in computer science (CS) and computational thinking (CT) education in their schools at the preK-12 levels. With this solicitation, the National Science Foundation (NSF) focuses on researcher-practitioner partnerships (RPPs) that foster the research and development needed to bring CS and CT to all schools. Specifically, this solicitation aims to provide high school teachers with the preparation, professional development (PD) and ongoing support that they need to teach rigorous computer science courses; preK-8 teachers with the instructional materials and preparation they need to integrate CS and CT into their teaching; and schools and districts the resources needed to define and evaluate multi-grade pathways in CS and CT.

CT refers to the thought processes involved in formulating problems and their solutions in such a way that the solutions can be effectively carried out by an information-processing agent (usually a computer). CT activities do not require the presence of a computing tool, but involve the requisite reasoning needed to capitalize on the use of computational tools. CS, as used in this solicitation, includes CT but also the broad range of understandings, competencies, and skills needed to apply computation in our digital world. It includes topics of problem specification and representation; algorithm development; software design, programming, and debugging; the Internet and networking; big data; cybersecurity; and application across a wide range of disciplines, including the associated societal impact and ethical considerations. This solicitation focuses on CS and CT instruction, as distinct from the mere use of computers or the use of common computational tools such as word processors or video editing or presentation software. The ability to use such tools is often referred to as computational literacy. This solicitation supports education beyond computational literacy.
NSFBIGDATA
Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA)
Sponsor Proposal Window: May 7-May 14, 2018
OSP Deadline: 5 business days prior to submission
Award Information :  $600,000-$2M for 3-4 years of support. Additional cloud credits/resources will be provided by AWS, Google, and Microsoft. About 25-33 projects will be funded.
 
The BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics leading towards the further development of the interdisciplinary field of data science. The program also seeks innovative applications in domain science, including social and behavioral sciences, education, physical sciences, and engineering, where data science and the availability of big data are creating new opportunities for research and insights not previously possible.

The solicitation invites two categories of proposals:
  • Foundations (BIGDATA: F): those developing or studying fundamental theories, techniques, methodologies, and technologies of broad applicability to big data problems, motivated by specific data challenges and requirements; and
  • Innovative Applications (BIGDATA: IA): those engaged in translational activities that employ new big data techniques, methodologies, and technologies to address and solve problems in specific application domains. Projects in this category must be collaborative, involving researchers from domain disciplines and one or more methodological disciplines, e.g., computer science, statistics, mathematics, simulation and modeling, etc.
NSFCPS
Cyber-Physical Systems (CPS)
Sponsor Proposal Window: April 27-May 9, 2018
OSP Deadline: 5 business days prior to submission
Award Information :  Small  projects can request up to $500,000 for up to 3 years.  Medium  projects may request $500,001 to $1M for up to 3 years. Frontier proposals can request between $1,000,001 and $7M for a period of 4 to 5 years. Approximately 10 Small projects, 20 Medium projects, and 2 Frontier projects are anticipated. 
 
The CPS program aims to develop the core research needed to engineer complex CPS, some of which may require dependable, high-confidence, or provable behaviors. Core research areas of the program include control, data analytics, autonomy, design, information management, internet of things (IoT), mixed initiatives including human-in- or on-the-loop, networking, privacy, real-time systems, safety, security, and verification. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting, fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application domains. The program additionally supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. This program also fosters a research community that is committed to advancing education and outreach in CPS and accelerating the transition of CPS research into the real world.

In FY 2018, NSF is working closely with multiple agencies across the federal government, including the U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T); the U.S. Department of Transportation (DOT) Federal Highway Administration (FHWA); several National Institutes of Health (NIH) institutes and centers including the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Cancer Institute (NCI), and National Center for Advancing Translational Sciences (NCATS); and the U.S. Department of Agriculture National Institute of Food and Agriculture (USDA NIFA, hereafter referred to as NIFA).

Proposals for three classes of research and education projects - differing in scope and goals - will be considered through this solicitation:
  • Small projects are well suited to emerging new and innovative ideas that may have high impact on the field of CPS.
  • Medium projects are well suited to multi-disciplinary projects that accomplish clear goals requiring integrated perspectives spanning the disciplines.
  • Frontier projects must address clearly identified critical CPS challenges that cannot be achieved by a set of smaller projects. Furthermore, Frontier projects should also look to push the boundaries of CPS well beyond today's systems and capabilities. 
NSFCSSI
Cyberinfrastructure for Sustained Scientific Innovation (CSSI) - Data and Software
Sponsor Deadline: April 18, 2018
OSP Deadline: April 11, 2018
Award Information: Elements awards shall not exceed a total of $600,000 and 3 years duration. Framework Implementations awards shall range from $200,000 to $1M per year, and shall be 3 to 5 years in duration. Up to $9M is expected to be available for up to 15 Elements awards, and up to $25M is expected to be available for up to 13 Framework Implementations awards.

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) umbrella program encompasses the long-running Data Infrastructure Building Blocks (DIBBs) and Software Infrastructure for Sustained Innovation (SI2) programs, as NSF seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in data and software cyberinfrastructure.

This CSSI solicitation requests Elements and Framework Implementations classes of awards:
  1. Elements (either Data Elements or Software Elements): These awards target small groups that will create and deploy robust capabilities for which there is a demonstrated need that will advance one or more significant areas of science and engineering.
  2. Framework Implementations (either Data Frameworks or Software Frameworks): These awards target larger, interdisciplinary teams organized around the development and application of common infrastructure aimed at solving common research problems faced by NSF researchers in one or more areas of science and engineering, resulting in a sustainable community framework serving a diverse community or communities.
For 2018, this solicitation welcomes proposals that support the goals of the:
  • National Strategic Computing Initiative (NSCI). NSCI is aimed at sustaining and enhancing U.S. scientific, technological, and economic leadership in high-performance computing (HPC) research, development, and deployment, enhancing the productivity of the Nation's fundamental research ecosystem.
  • Harnessing the Data Revolution (HDR). HDR is one of NSF's 10 Big Ideas for Future Investment. HDR is aimed at fundamental data science research, research data cyberinfrastructure, and the development of a 21st-century data-capable workforce. HDR will enable new modes of data-driven discovery - allowing researchers to ask and answer new questions in frontier science and engineering, generate new knowledge and understanding, and accelerate discovery and innovation.
NSFCICI
Directorate for Computer & Information Science & Engineering (CISE)
Cybersecurity Innovation for Cyberinfrastructure (CICI)
Sponsor Deadline: June 4, 2018
OSP Deadline: May 27, 2018
Award Information:  Secure Scientific Cyberinfrastructure and Research Data Protection awards will be supported at up to $1M total per award for up to 3 years. A single Collaborative Security Response Center award will be supported at up to $5M for up to 3 years.

The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to develop, deploy and integrate security solutions that benefit the scientific community by ensuring the integrity, resilience and reliability of the end-to-end scientific workflow. CICI seeks three categories of projects:

1.     Secure Scientific Cyberinfrastructure: These awards seek to secure the scientific workflow by encouraging novel and trustworthy architectural and design approaches, models and frameworks for the creation of a holistic, integrated security environment that spans the entire scientific CI ecosystem;
2.     Collaborative Security Response Center: This single award targets the development of a community resource to provide security monitoring, analysis, expertise, and resources to Research & Education (R&E) cyberinfrastructure staff, regardless of physical location or organization; and
3.     Research Data Protection: These awards provide solutions that both ensure the provenance of research data and reduce the complexity of protecting research data sets regardless of funding source.

Please note that organizations are limited to submitting two CICI proposals. If you are interested in submitting a CICI proposal, please contact Erin Hale in FAS Research Development at [email protected].
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.
NSFDCLNNA
National Science Foundation (NSF)
Dear Colleague Letter: Stimulating Research Related to Navigating the New Arctic (NNA), One of NSF's 10 Big Ideas
Sponsor Deadlines: Vary by program. If proposing to a program or funding vehicle that doesn't have a deadline, PIs are encouraged to submit by May 1, 2018 to be considered for FY 2018 funding.  
OSP Deadline: 5 business days prior to submission
Award Information:  Varies by program
 
This Dear Colleague Letter (DCL) invites proposals in FY 2018 that will advance NNA research through convergent approaches to emerging scientific, engineering, societal, and education challenges, and builds upon the  NNA awards resulting from the FY 2017  DCL on Growing Convergence Research at NSF. A systems-based approach is strongly encouraged, including research that both contributes to, and leverages, large data sets from enhanced observational technology and networks. Knowledge co-production with local and indigenous communities, advancing public participation in research, and international partnerships are also strongly encouraged as possible means to achieve NNA objectives.

In addition to standard research grants, NSF invites proposals for Research Coordination Networks (RCN),  EArly-Concept Grants for Exploratory Research (EAGER) and conference grants.
NSFExpeditions
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Expeditions in Computing
Sponsor Deadline for Preliminary Expeditions Proposals (required): April 25, 2018
Sponsor Deadline for invited Full Expeditions Proposals: January 16, 2019
Sponsor Submission Window for InTrans Proposals: April 25, 2018-April 24, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Expeditions awards will be made up to $2M per year for 5 years. 2-4 Expeditions awards will be made in each competition.  The total of NSF funding for all lnTrans awards to any one Expedition or Frontier project team must not exceed $1.5M. For a single lnTrans proposal, the NSF budget(s) must not (in total in the case of multi-institution collaborations) exceed one-third of the total co-funding support provided by industry (excluding in-kind contributions such as collaboration of industry personnel). In addition, the yearly budget total of the NSF  InTrans  proposal cannot exceed the yearly co-funding from the industry partner(s). 
 
The Directorate for Computer and Information Science and Engineering (CISE) has established 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. With this solicitation, CISE is piloting a requirement for meaningful Broadening Participation in Computing (BPC) plans in all proposals submitted to the Expeditions in Computing program.

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 large 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 computer and information science and engineering fields.

Additionally, CISE offers Innovation Transition (InTrans) awards for teams nearing the end of their Expeditions as well as Secure and Trustworthy Cyberspace (SaTC) and Cyber-Physical Systems (CPS) Frontier projects. The goal of InTrans is to continue the long-term vision and objectives of CISE's center-scale projects. Through InTrans awards, CISE will provide limited funds to match industry support.
NSFFMitF
National Science Foundation (NSF)
Directorate for Computer and Information Science and Engineering (CISE)
Formal Methods in the Field (FMitF)
Sponsor Deadline: May 8, 2018
OSP Deadline: May 1, 2018
Award Information: Up to $1M for up to 4 years. Approximately 8 awards are anticipated.  
 
The Formal Methods in the Field (FMitF) program aims to bring together researchers in formal methods with researchers in other areas of computer and information science and engineering to jointly develop rigorous and reproducible methodologies for designing and implementing correct-by-construction systems and applications with provable guarantees. FMitF encourages close collaboration between two groups of researchers. The first group consists of researchers in the area of formal methods, which, for the purposes of this solicitation, is broadly defined as principled approaches based on mathematics and logic, including modeling, specification, design, program analysis, verification, synthesis, and programming language-based approaches. The second group consists of researchers in the "field," which, for the purposes of this solicitation, is defined as a subset of areas within computer and information science and engineering that currently do not benefit from having established communities already developing and applying formal methods in their research. Initially the program will limit the field to these four areas that stand to directly benefit from a grounding in formal methods: 
  • computer networks;
  • cyber-human systems;
  • machine learning; and 
  • and operating/distributed systems. 
NSFNCS
National Science Foundation (NSF)
Integrative Strategies for Understanding Neural and Cognitive Systems
Sponsor Deadlines for Letters of Intent (required):  January 8, 2019 and January 8, 2020 for FOUNDATIONS Awards; December 7, 2018 for FRONTIERS Awards; CORE+ SUPPLEMENTS proposals do not require an LOI
Sponsor Deadlines for Full Proposals:  April 17, 2018, February 26, 2019 and February 6, 2020 for FOUNDATIONS Awards and CORE+ SUPPLEMENTS Awards; February 26, 2019 for FRONTIERS Awards
OSP Deadline: 5 business days prior to submission
Award Information:  Total budgets for FOUNDATIONS awards will typically range from a total of $500,000-$1M (including direct and indirect costs), with durations of 2-4 years. The NCS program also welcomes proposals for smaller FOUNDATIONS projects (typically requesting less than $250,000) that would lead to ambitious new research agendas. Hard limits have not been set on the budget range for individual FRONTIERS projects which may have a duration of up to 5 years. CORE+ SUPPLEMENTS funding may be requested up to 20% of the existing award, not to exceed $200,000.
 
This program calls for innovative, convergent, boundary-crossing proposals that can best capture new opportunities to understand complex aspects of neural and cognitive systems through integrative multidisciplinary approaches and map out new research frontiers. NSF seeks proposals that are bold and risky, and transcend the perspectives and approaches typical of disciplinary research efforts. The program focuses on four aspects of neural and cognitive systems including  Data-Intensive Neuroscience and Cognitive Science. Proposals must address both risk and reward: high-risk, high-payoff approaches are expected. Proposals must also be consistent with the missions of the participating directorates, while going beyond the scope of any NSF core program, or they will not be considered responsive to the solicitation.
 
NCS will consider three classes of proposals. FOUNDATIONS awards (CISE, EHR, ENG, and SBE Directorates; referred to as INTEGRATIVE FOUNDATIONS in earlier NCS solicitations) will support high-risk, high-payoff projects that advance the foundations of one or more NCS focus areas. FRONTIERS awards (CISE, EHR, ENG, and SBE Directorates; FY2019 competition only) will support ambitious, highly integrative, interdisciplinary projects that advance and connect multiple integrative research threads to tackle challenges that, without a high level of collaboration and coordination, would remain intractable. CORE+ SUPPLEMENTS (CISE, EHR, and ENG Directorates) will provide additional support to existing funded projects in the participating directorates, to enable activities that will connect those projects to significant new integrative opportunities in neural and cognitive systems.
NSFTRIPODPartners
National Science Foundation (NSF)
Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X)
Sponsor Deadline: May 29, 2018
OSP Deadline: May 21, 2018
Award Information:  Proposers may request up to $600,000 total for Research Track awards; $200,000 total for Visioning Track awards; or $200,000 total for Education Track awards. For each track, the project duration may be up to 3 years.  Approximately 6-12 awards in each of the three tracks are anticipated. 
 
NSF's Directorates for Computer & Information Science & Engineering (CISE) and Mathematical & Physical Sciences (MPS) recently launched the  Transdisciplinary Research in Principles of Data Science (TRIPODS) Phase I program with the goal of promoting long-term, interdisciplinary research and training activities that engage theoretical computer scientists, statisticians, and mathematicians in developing the theoretical foundations of data science.  Twelve TRIPODS Phase I Institutes were established in FY17.  The Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X) solicitation seeks to expand the scope of the TRIPODS program beyond the foundations community by engaging researchers across other NSF disciplines and the TRIPODS research teams in collaborative activities. TRIPODS + X projects will foster relationships between researchers in science & engineering domains and foundational data scientists by leveraging existing NSF investments in the TRIPODS organizations. Working in concert with a TRIPODS organization, a TRIPODS + X project would focus on data-driven research challenges motivated by applications in one or more science and engineering domains or other activities aimed at building robust data science communities.  PIs are encouraged to submit proposals in response to three tracks: 1)  Research Track: research activities motivated by applications in one or more science & engineering domains; 2)  Visioning Track: workshops and conferences, innovation labs, and other community-building and direction-setting activities; and 3)  Education Track: curriculum development and other education- and training-related activities.

To be eligible, at least one PI or co-PI must represent a discipline other than mathematics, statistics, and theoretical computer science, and at least one PI or co-PI must be a PI, co-PI, or Senior Personnel of one of the 12 TRIPODS Phase I Institute projects initiated in FY 2017. Participation of PIs and co-PIs at institutions other than the TRIPODS awardee organizations is particularly encouraged and will receive priority consideration. Each TRIPODS Phase I organization may participate in at most five proposals. Each TRIPODS Phase I organization may participate in at most three proposals in any of the three tracks. 
NSFPREEVENTS
National Science Foundation (NSF)
Directorate for Geosciences (GEO)
Prediction of and Resilience against Extreme Events (PREEVENTS)
Sponsor Deadline for Letters of Intent (required for Track 2 proposals): July 27, 2018
Sponsor Deadlines for Full Proposals: January 5, 2018-January 4, 2019 for Track 1 proposals; September 18, 2018 for Track 2 proposals
OSP Deadline: 5 business days prior to submission
Award Information:  Budgets for Track 1 proposals are generally limited to less than $50,000,  but under exceptional circumstances may be up to $100,000. Track 2 budgets  must be commensurate with the scope of the work proposed, with a project duration of up to 5 years.
 
PREEVENTS is focused on natural hazards and extreme events, and not on technological or deliberately human-caused hazards. The PREEVENTS portfolio will include the potential for disciplinary and multidisciplinary research at all scales, particularly aimed at areas ripe for significant near- or medium-term advances.  PREEVENTS seeks projects that will (1) enhance understanding of the fundamental processes underlying natural hazards and extreme events on various spatial and temporal scales, as well as the variability inherent in such hazards and events, and (2) improve our capability to model and forecast such hazards and events.  All projects requesting PREEVENTS support must be primarily focused on these two targets.  In addition, PREEVENTS projects will improve our understanding of the effects of natural hazards and extreme events and will enable development, with support by other programs and organizations, of new tools to enhance societal preparedness and resilience against such impacts.

Two types of awards are available:
  • Track 1 proposals may be submitted for conferences that will foster development of interdisciplinary or multidisciplinary communities required to address complex questions surrounding natural hazards and extreme events.
  • Track 2 proposals must address both primary targets described above, but may extend beyond what is typically supported by GEO "core" programs due to the scope, scale, and/or complexity of the problem to be studied or approaches to be used; because the problem requires a multidisciplinary approach spanning multiple GEO programs or divisions; or for other similar programmatic reasons. Track 2 proposals may not request support for generation or collection of new data and/or measures (e.g., field instrument deployments or other similar experiments), but may request support for analysis, synthesis, and/or modeling efforts that use existing data and/or measures.  
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. 
NSFVMware
VMware
Directorate for Computer and Information Science and Engineering (CISE)
NSF/VMware Partnership on Edge Computing Data Infrastructure (ECDI)
Sponsor Deadline: May 22, 2018
OSP Deadline: May 15, 2018
Award Information: Up to $3M for up to 3 years. VMware may contribute open-source software and expertise related to ECDI to the program awardees. Approximately 2 awards are anticipated.  
 
This solicitation seeks to advance the state of the art in end-to-end networked systems architecture that includes edge infrastructures. The central challenge is to design and develop data-centric edge architectures, programming paradigms, runtime environments, and data sharing frameworks that will enable compelling new applications and fully realize the opportunity of big data in tomorrow's mobile and IoT device environments. Researchers are expected to carefully consider the implications of edge computing's multi-stakeholder context, and the need for security and privacy as first order design and operational considerations.
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. Awards >$125,000 provide overhead up to 15%.  Overhead is not allowed on awards <$125,000. Since t his amount falls short of the 15% overhead required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.

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.
DHHSACLBurnModelSystems
Administration for Community Living, National Institute on Disability, Independent Living, and Rehabilitation Research
Disability and Rehabilitation Research Projects (DRRP) Program: Burn Model Systems National Data and Statistical Center
Sponsor Deadline: April 9, 2018 
OSP Deadline:  April 2, 2018
Award Information: $350,000/year for 5 years. 1 award is anticipated.

The purpose of NIDILRR's Disability and Rehabilitation Research Projects (DRRP) is to plan and conduct research and dissemination and utilization activities to develop methods, procedures, and rehabilitation technology that maximize the full inclusion and integration into society, employment, independent living, family support, and economic and social self-sufficiency of individuals with disabilities, especially individuals with the most severe disabilities, and to improve the effectiveness of services authorized under the Rehabilitation Act of 1973, as amended (Rehabilitation Act).

The purpose of this particular DRRP is to maintain the Burn Model Systems National Database, the largest longitudinal burn injury research database in the United States, and to provide training, technical assistance and support for the Burn Model Systems Centers as they contribute data to this database.
NIHDrugAbuseResearchR01
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01 Clinical Trial Optional)
Sponsor Deadlines:  June 5, 2018; October 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: September 4, 2018; September 3, 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.
NIHCancerBehResInteratingData
National Institutes of Health (NIH)
National Cancer Institute (NCI)
Cancer-Related Behavioral Research through Integrating Existing Data (R01 and R21)
Sponsor Deadlines: June 7, 2018 and February 7, 2019 for R01 applications; June 15, 2018 and February 15, 2019 for R21 applications
OSP Deadline:  5 business days prior to submission
Award Information: For R01 applications, the budget is not limited and the maximum project period is 5 years. For R21 applications , direct costs are limited to $275,000 over a 2 year period, with no more than $200,000 in direct costs allowed in any single year.

These FOAs invite applications that seek to integrate two or more independent data sets to answer novel cancer control and prevention questions. The goal is to encourage applications that incorporate Integrative Data Analysis (IDA) methods to study behavioral risk factors for cancer, including tobacco use, sedentary behavior, poor weight management, and lack of medical adherence to screening and vaccine uptake. It is important that the data being integrated are from different sources and types (including both quantitative and qualitative; data may span different levels such as genetic and environmental) and should include at least one source of behavioral data. Importantly, applicants should use existing data sources rather than collect new data. In addition, creating harmonized measures, developing culturally sensitive measures, replicating results and cross-study comparisons will be encouraged.
NIHNCI
National Cancer Institute (NCI)
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: 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.
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 $1.5M (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).   
NIHNHLBIDataAnalysisR21
National Heart, Lung, and Blood Institute (NHLBI)
Secondary Analyses of Existing Datasets in Heart, Lung, and Blood Diseases and Sleep Disorders (R21)
Sponsor Deadlines:  February 22, 2019 for new applications; October 30, 2018 and October 30, 2019 for resubmission applications
OSP Deadline: 5 business days prior to submission
Award Information: Direct costs must be limited to $150,000 over a two-year period, with no more than $75,000 in direct costs allowed in any single year. NHLBI intends to fund up to ten awards per year.

The goal of this funding opportunity is to stimulate the use of existing human datasets for well-focused secondary analyses to investigate novel scientific ideas or new models, systems, tools, methods, or technologies that have the potential for significant impact on biomedical or biobehavioral research in areas relevant to the NHLBI mission. This FOA actively supports the use of existing database resources to conduct additional analyses secondary to a project's originally-intended primary purpose. Applications may be related to, but must be distinct from, the specific aims of the original data collection; it will not support the collection of new data.
National Institute on Aging (NIA)
Genetics of Alzheimer's Disease Data Storage Site (U24)
Sponsor Deadlines:  May 25, 2018; September 25, 2018
OSP Deadline: 5 business days prior to submission
Award Information:  Direct costs should not exceed $1M 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 (AD). 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:  June 5, 2018 and October 5, 2018 for R01 proposals; June 16, 2018 and October 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.
NIHGettingtoZeroR01
Getting to Zero: Understanding HIV Viral Suppression and Transmission in the United States (R01 Clinical Trial Not Allowed)
Sponsor Deadlines: March 14, 2019; March 13, 2020
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. NIH  intends to commit an estimated total of $3.25M to fund 3-5 awards in fiscal year 2019. Future year amounts will depend on annual appropriations.

The purpose of this FOA is to support grants to improve measurement and understanding of viral suppression and HIV transmission in the United States using population-level epidemiology and novel tools from Big Data Science approaches and m/eHealth. The outcome of this research will uncover new knowledge from data to build more effective and context-specific HIV control strategies for the U.S. epidemic.   
NIHHIV
Harnessing Big Data to Halt HIV (R01)
Sponsor Deadline: May 7, 2018
OSP Deadline: April 30, 2018
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). These approaches should include projects to assemble big data sources, conduct robust and reproducible analyses, and create meaningful visualization of big data.
NIHNIGMS
National Institutes of Health (NIH)
National Institute of General Medicine (NIGMS)
Modeling of Infectious Disease Agent Study Research Projects (R01)
Sponsor Deadlines: May 5, 2018; October 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 Letters 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.
NIHNICHDArchivDataSetsR03
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Archiving and Documenting Child Health and Human Development Data Sets (R03) 
Sponsor Deadline for Letters of Intent (requested):  30 days prior to the deadline
Sponsor Deadlines for Full Proposals:  June 16, 2018; October 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.

The purpose of this FOA is to invite R03 applications to support archiving and documenting existing data sets in order to enable secondary analysis of these data by the scientific community. The priority of this program is to archive data sets within the scientific mission of the NICHD; highest priority is to archive data collected with NICHD support.    
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:  June 16, 2018; October 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 Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: June 5, 2018; October 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 a great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.
NIHNIMHAdminSuppCompModeling
National Institute of Mental Health (NIMH)
Administrative Supplements for Advancing Computational Modeling and Data Analytics Relevant to Mental Health
Sponsor Deadline:  April 1, 2018
OSP Deadline: March 26, 2018
Award Information: Up to $100,000 for 1 year.  NIMH intends to commit approximately $1M in direct costs in FY18 to support approximately 10 administrative supplements.

The National Institute of Mental Health (NIMH) announces the opportunity for investigators with relevant active NIMH-supported research project grants (R01, R03, R15, R21, R61/33, R21/33, R33, R34, and R37), research centers (P-grants) and cooperative agreements (U-grants) to submit administrative supplements according to  PA-18-591, Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional) , for funded projects that could benefit from: (1) explanatory computational models (theory- and/or data-driven) to test underlying brain and behavioral mechanisms; and (2) analytical approaches leveraging complex datasets within and across levels of analysis (e.g., genes, molecules, cells, circuits, physiology, and behavior). 
NIHNLM
National Library of Medicine (NLM)
NLM Career Development Award in Biomedical Informatics and Data Science (K01)
Sponsor Deadlines: June 12, 2018; October 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.
NIHNLM2
National Library of Medicine (NLM)
NLM Express Research Grants in Biomedical Informatics (R01)
Sponsor Deadlines: June 5, 2018; October 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:  June 5, 2018 and October 5, 2018 for R01 proposals; June 16, 2018 and October 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: 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: August 13, 2018; February 11, 2019
OSP Deadline: 5 business days prior to submission
Award Information: Average award size is ~$175,000 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. 
NSFSCH
National Institutes of Health (NIH)
Smart and Connected Health (SCH): Connecting Data People and Systems
Sponsor Deadlines: May 22, 2018; December 11, 2018 
OSP Deadline: 5 business days prior to submission
Award Information: U p to $300,000 per year for up to 4 years. 8-16 awards per year are anticipated.  
 
The purpose of this interagency program solicitation is to support the development of technologies, analytics and models supporting next generation health and medical research through high-risk, high-reward advances in computer and information science, engineering and technology, behavior and cognition. Collaborations between academic, industry, and other organizations are strongly encouraged to establish better linkages between fundamental science, medicine and healthcare practice and technology development, deployment and use. This solicitation is aligned with national reports calling for new partnerships to facilitate major changes in health and medicine, as well as healthcare delivery and is aimed at the fundamental research to enable these changes. Realizing the promise of disruptive transformation in health, medicine and/or healthcare will require well-coordinated, multi-disciplinary approaches that draw from the computer and information sciences, engineering, social, behavioral, cognitive and economic sciences, biomedical and health research. 

The solicitation invites applications for Integrative projects (INT) which undertake research addressing key application areas by solving problems in multiple scientific domains. The work must make fundamental contributions to two or more disciplines. Projects are expected to include several students and postdocs. Scientists from all disciplines are encouraged to participate. Collaborations with researchers in the health application domains are required.
Education and Training
AERA
American Educational Research Association (AERA)
AERA Research Grants
Sponsor Deadline: TBA (Fall 2018)
OSP Deadline: TBA (Fall 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. Overhead is not allowed on AERA Resarch Grants.  This amount falls short of the 15% overhead required by FAS/SEAS policy. Please discuss with your grants administrator before preparing an application.
 
This program seeks to stimulate research on U.S. education issues using data from the large-scale, national and international data sets supported by the National Center for Education Statistics (NCES), NSF, and other federal agencies, and to increase the number of education researchers using these data sets. Applicants are encouraged to submit proposals that:
  • develop or benefit from new quantitative measures or methodological approaches for addressing education issues;
  • include interdisciplinary teams with subject matter expertise, especially when studying science, technology, engineering and mathematics (STEM) learning;
  • analyze TIMSS, PISA, or other international data resources; or
  • include the integration and analysis of more than one data set.
Research projects related to at least one of the strands above and to science and/or mathematics education are especially encouraged. Other topics of interest include policies and practices related to student achievement in STEM, contextual factors in education, educational participation and persistence (kindergarten through graduate school), early childhood education, and postsecondary education.
NSFWorkforceSurveyData
Directorate for Social, Behavioral & Economic Sciences (SBE)
Research on the Science and Technology Enterprise: Statistics and Surveys - R&D, U.S. S&T Competitiveness, STEM Education, S&T Workforce
Sponsor Deadline: January 15, 2019
OSP Deadline: January 8, 2019
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: January 25, 2019
OSP Deadline: January 17, 2019
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
[email protected] | 617-495-1590

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