October 2019

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. In addition, you may access the Science Division Funding Spotlight here
News and Resources
NINDS intends to launch a new initiative to solicit applications for research that will promote discovery and/or validation of scientific or clinically-relevant hypotheses from secondary analysis of existing clinical datasets and samples, sourced from two or more multi-site clinical studies. This RFA will utilize the R61/R33 activity code. The first phase (R61) is expected to support the initial harmonization and curation of the datasets and the second phase (R33) will support analyses to address the proposed research objectives.  The RFA is expected to be published in fall 2019 with an application due date in spring 2020.  

In order to respond to new and emerging areas of scientific inquiry, help SBE researchers better connect their basic research plans to pressing national priorities, and make the value of basic research in the SBE sciences more apparent to a wider set of stakeholders, NSF's D irectorate for Social, Behavioral and Economic Sciences (SBE) has recently repositioned a number of its basic research programs. Several of SBE's new program areas are summarized below.

The Harvard Data Science Initiative is seeking applications for its postdoctoral fellows program. Fellowships are normally two years and provide a generous salary as well as an annual allocation for research and travel expenses. The proposal deadline is December 2, 2019.

Funding Opportunities for Big Data

Indicates a funding announcement that was updated or added to the newsletter this month.  
Social Science
 (Computer) Science and Engineering
Biomedical Science
Education and Training

Social Science
HUDUnsolicitedProposals
Office of Policy Development and Research (PD&R)
Authority to Accept Unsolicited Proposals for Research Partnerships Notice
Sponsor Deadline: Rolling through December 31, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: There are no minimum or maximum award amounts, and the period of performance will be determined by the applicant's proposal and subject to negotiation by HUD. HUD is making approximately $1M available for Research Partnerships. Applicants must  provide cost sharing for at least 50 percent of the total project cost from philanthropic entities or Federal, state or local government agencies. The number of awards will be based on the number of proposals HUD reviews, approves, and funds.

HUD developed the Research Partnerships vehicle to allow greater flexibility in addressing important policy questions and to better utilize external expertise in evaluating the local innovations and effectiveness of programs affecting residents of urban, suburban, rural and tribal areas. Through this notice, HUD can accept unsolicited research proposals that address current research priorities and allow innovative research projects that could inform HUD's policies and programs. The documents that establish a framework for HUD's research priorities are the HUD Strategic Plan 2018-2022, which specifies the Department's mission and strategic goals for program activities; and the HUD Research Roadmap: 2017 Update, which is the most recent integration of diverse stakeholder viewpoints into a five-year research and learning agenda. In considering potential research partnerships, PD&R urges organizations to consider ways to take advantage of key research assets, HUD's data infrastructure, that the Roadmap Update identifies as part of HUD's comparative advantage.
EPICScholarinResidence
2020 EPIC Scholar in Residence Program
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: Review not required for awards made to individuals
Award Information: St ipend of $30,000, a work space, and access to EPIC's Library and research materials.   The typical period for the Scholar in Residence will be a single semester, though longer or shorter periods may be considered.  

The EPIC Scholar in Residence will provide a unique opportunity to pursue work at one of the leading privacy research centers in the world. EPIC, located in Washington, DC, routinely advises Congress, courts, and international organizations about emerging privacy and civil liberties issues. EPIC also litigates significant privacy cases in federal and state courts. The EPIC Library contains several thousand volumes on privacy and related fields, as well as Congressional materials on the development and enactment of US privacy law. EPIC also has an extensive collection of documents, obtained under the Freedom of Information Act, concerning government surveillance, monitoring and related programs.  

EPIC encourages applications from post-graduates in law, public policy, and computer science. Terminal degree must be either a J.D. or Ph.D. Mid-career experts in the data protection field are also welcome to apply.  The EPIC Scholar in Residence will be encouraged to participate in the work of EPIC, to meet with outside experts, and to conduct research and writing at EPIC. The expectation is that the individual will produce substantial published work.
KnightFoundationInternetGov
Governance, Norms and Values - Research on the Future Internet
Sponsor Deadline: Rolling 
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Unspecified

The John S. and James L. Knight Foundation seeks to support fundamental research that addresses issues of rules, norms and governance of the internet and digital platforms. Recent research, policy debates and public controversies have highlighted the absence of uniform consensus on the norms, rights and responsibilities that should govern digital services, in particular social media. The Foundation wishes to fund scholarly inquiry and novel approaches that will strengthen our democracy as the digital age progresses.
LOCKlugeDigFellowship
Kluge Fellowships in Digital Studies
Sponsor Deadline: December 6, 2019 
FAS/SEAS/OSP Deadline: Review not required for awards made to individuals
Award Information: Stipend of  $4,200 per month for up to 11 months

The Kluge Fellowship in Digital Studies provides an opportunity for scholars to utilize digital methods, the Library's large and varied digital collections and resources, curatorial expertise, and an emerging community of digital scholarship practitioners. Interdisciplinary and cross-cultural research is particularly welcome in the Kluge Digital Studies program. The fellowship is open to scholars from all disciplines with special consideration given to those whose projects demonstrate relevance to the challenges facing democracies in the 21st century. The Digital Studies Fellowship supports a wide array of academic work that encompasses digital scholarship, digital humanities, data science, data analysis, data visualization, and digital publishing that utilize digital collections, tools, and methods. Fellows will have the opportunity to engage with various digital departments in the Library of Congress while pursing and sharing their research.
NSFDLIDEL
Directorate for Social, Behavioral and Economic Sciences (SBE)
NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages (DLI-DEL)
Sponsor Deadline: September 15, 2020
FAS/SEAS/OSP Deadline: September 8, 2020
Award Information: Varies by award type (see solicitation for complete details)

This funding partnership between the National Science Foundation (NSF) and the National Endowment for the Humanities (NEH) supports projects to develop and advance knowledge concerning dynamic language infrastructure in the context of endangered human languages-languages that are both understudied and at risk of falling out of use. Made urgent by the imminent loss of roughly half of the approximately 7,000 currently used languages, this effort aims to exploit advances in information technology to build computational infrastructure for endangered language research. The program supports projects that contribute to data management and archiving, and to the development of the next generation of researchers. Funding can support fieldwork and other activities relevant to the digital recording, documentation and analysis, and archiving of endangered language data, including the preparation of lexicons, grammars, text samples, and databases. Funding will be available in the form of one- to three-year senior research grants, fellowships from six to twelve months, and conference proposals. Note: a conference proposal should generally be submitted at least a year in advance of the scheduled date of the conference.

Principal Investigators (PIs) and Applicants for Fellowships (Applicants) may propose projects involving one or more of the following three emphasis areas:
  • Language Description
  • Infrastructure
  • Computational Methods 
NSFHNDS-I
Directorate for Social, Behavioral and Economic Sciences (SBE)
Human Networks and Data Science - Infrastructure (HNDS-I)
Sponsor Deadline: February 24, 2020
FAS/SEAS/OSP Deadline: February 14, 2020
Award Information: The total maximum amount for all awards per year will be $4.5M. 3-4 awards are anticipated.

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.

Human Networks and Data Science (HNDS) is a two-track program. It supports research and infrastructure that uses data science to advance understanding of a full range of human networks. HNDS research will identify ways in which dynamic, distributed, and heterogeneous data can provide novel answers to fundamental questions about individual and group behavior. HNDS is especially interested in proposals that leverage data-rich insights about human networks to support improved health, prosperity, and security. 

HNDS has two components:
  1. Human Networks and Data Science - Infrastructure (HNDS-I). Development of data resources and relevant analytic techniques that support fundamental SBE research in the context of human networks. For FY 2020, this research is funded through this solicitation, which replaces the previous Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR) solicitation.
  2. Human Networks and Data Science - Core Research (HNDS-R). Core research proposals use data science to generate novel understandings of human networks - particularly understandings that can improve the outcomes of significant societal opportunities and challenges. HNDS encourages core research proposals that make innovative use of HNDS infrastructure (formerly RIDIR).
The HNDS - Infrastructure solicitation is currently accepting proposals. A subsequent funding announcement for HNDS Core Research will be released in 2020, pending availability of funding.
NSFMMS
Directorate for Social, Behavioral and Economic Sciences (SBE)
Methodology, Measurement, and Statistics (MMS)
Sponsor Deadlines: January 30, 2020; August 27, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Approximately $3.76M will be awarded annually to support 15-35 awards. Additional funds may be available from participating federal statistical agencies for competitive research proposals of interest to those agencies. 

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economic sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics. This solicitation provides support through a number of different funding mechanisms, including standard  research awards; a wards for conferences and community-development activities;  Doctoral Dissertation Research Improvement (DDRI) Grants; and  Research Experience for Undergraduates (REU) Supplements.  MMS also supports Faculty Early Career Development (CAREER) awards. 
NSFRDCs
Directorate for Social, Behavioral and Economic Sciences (SBE)
Restricted-Access Research Data Centers (RDCs)
Sponsor Deadline: September 30, 2020
FAS/SEAS/OSP Deadline: September 23, 2020
Award Information:  Investigators may request up to $100,000 a year over a 1-3 year period to cover start-up costs for new RDCs. NSF programs collectively expect to contribute no more than $300,000 per year to new RDC awards, pending availability of appropriations.

This solicitation invites proposals for the establishment of new Research Data Centers (RDCs). RDCs are secure Census Bureau facilities within which external researchers are given access to confidential micro data in accordance with specific statutory requirements. NSF will provide start-up costs for new RDC facilities. RDCs are expected to engage researchers from across the social, behavioral, and economic sciences. Potential investigators first must contact Census regarding the feasibility of sponsoring an RDC prior to submitting a proposal to NSF. Information about the current RDCs is available at  https://www.census.gov/programs-surveys/ces.html.
NSFSTS
Directorate for Social, Behavioral and Economic Sciences (SBE)
Science and Technology Studies (STS)
Sponsor Deadlines: February 3, 2020; August 3, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Varies by award type (see solicitation for complete details). Approximately $6,200,000 will be made available in FY 2020 to support an estimated 40 awards.

The Science and Technology Studies (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 topics including interdisciplinary studies of ethics, equity, governance, and policy issues that are closely related to STEM disciplines. The STS program supports proposals across the broad spectrum of STS research areas, topics, and approaches, including, but not limited to studies of the societal aspects of an emerging technology such as artificial intelligence, robotics, big data analysis, neuroscience, synthetic biology, nanotechnology, and quantum technologies (computers, sensors, and encryption).

The STS program supports several distinct types of proposals in order to accommodate the diverse research needs of the STS community. Types of proposals include Standard Research Grants and Grants for Collaborative Research, Scholars Awards, Conference Support, and Doctoral Dissertation Research Improvement Grants. The STS Program also participates in Foundation-wide initiatives such as  CAREERADVANCE, and Ethical and Responsible Research. Investigators may also wish to view the  SBE Office of Multidisciplinary Activities (SMA) web site for additional funding opportunities.
NSFSciLearningAugIntel
Directorate for Social, Behavioral and Economic Sciences (SBE)
The Science of Learning and Augmented Intelligence Program (SL)
Sponsor Deadlines: January 15, 2020; July 8, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Unspecified

The Science of Learning and Augmented Intelligence Program (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence - how human cognitive function can be augmented through interactions with others, contextual variations, and technological advances. The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis.
The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes can be improved through interactions with others, and/or the use of artificial intelligence in technology. For both aspects of the program, there is special interest in collaborative and collective models of learning and/or intelligence that are supported by the unprecedented speed and scale of technological connectivity. 
  
Projects that are convergent and/or interdisciplinary may be especially valuable in advancing basic understanding of these areas, but research within a single discipline or methodology is also appropriate. Connections between proposed research and specific technological, educational, and workforce applications will be considered as valuable broader impacts but are not necessarily central to the intellectual merit of proposed research. The program supports a variety of approaches including: experiments, field studies, surveys, computational modeling, and artificial intelligence/machine learning methods.

Research questions of interest include: What concepts, tools (including Big Data, machine learning, and other computational models), or questions will provide the most productive linkages across levels of analysis, elating understanding of cellular and molecular mechanisms of learning in the neurons to circuit and systems-level computations of learning in the brain, to cognitive, affective, social, and behavioral processes of learning?
(Computer) Science & Engineering
AWSMLRA
AWS Machine Learning Research Awards (MLRA)
Sponsor Deadline:  Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  The amount awarded is at the discretion of the awards panel and may be based on the number of applicants and number of awards granted during an award cycle. Awards may include funding and AWS Promotional Credits. 69% overhead is required per FAS/SEAS policy.
 
The AWS Machine Learning Research Awards (MLRA) program funds eligible universities, faculty, PhD students and post-docs under the supervision of faculty, that are conducting novel research in machine learning (ML). The goal is to enable research that accelerates the development of innovative algorithms, publications, and source code across a wide variety of ML applications and focus areas. Selected applicants will receive awards that include a cash award as well as AWS Promotional Credits. Award recipients will receive an invitation to attend an annual research seminar and may receive live one-on-one training sessions with Amazon scientists and engineers.
 
Full-time faculty members and university departments leading a team of students and postdocs at education institutions in North America and Europe which are conducting innovative research related to Machine Learning are eligible to apply. Awards provided to faculty or university institutions will support the researchers identified in the application conducting research under the guidance of this PI.
CZIOpenSource
Essential Open Source Software for Science
Sponsor Deadlines:  February 1, 2020; August 1, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: $50,000-$250,000 (inclusive of up to 15% for indirect/overhead costs) for one year
 
In a new effort to support open source software for science, the Chan Zuckerberg Initiative (CZI) seeks applications for software projects that are essential to biomedical research, have already demonstrated impact, and can show potential for continued improvement. Grants will be for a one-year period with the potential to apply for renewal in future cycles.  The goal of the program is to support software maintenance, growth, development, and community engagement for these critical tools. This RFA is the first of a series. CZI will invite applications during three distinct cycles, with rounds beginning June 18, 2019; mid-December 2019; and mid-June 2020.

Applications for two broad categories of open source projects will be considered in scope:
  • Domain-specific software for analyzing, visualizing, and otherwise working with the specific data types that arise in biomedical science (e.g., genomic sequences, microscopy images, molecular structures).
  • Foundational tools and infrastructure that enable a wide variety of downstream software across several domains of science and computational research (e.g., numerical computation, data structures, workflows, reproducibility). 
USDANIFAAFRI2019
National Institute of Food and Agriculture (NIFA)
Agriculture and Food Research Initiative - Foundational and Applied Science
Sponsor Deadlines for Letters of Intent: Requirements vary by priority area. For the FACT program, LOIs are only required for Conference proposals and must be submitted at least 135 days before the conference begins.
Sponsor Deadlines for Full Proposals:  Deadlines vary by priority area . Deadline for FACT proposals is April 16, 2020.  
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards vary by priority area. Standard, Conference and FASE (Strengthening Standard New Investigator, Strengthening Conference, Seed, Equipment, and Sabbatical) grants are available in the FACT program for Research Projects or Integrated (research, education and /or extension) Projects.
 
The Agriculture and Food Research Initiative (AFRI) is America's flagship competitive grants program that provides funding for fundamental and applied research, education, and extension projects in the food and agricultural sciences. In this RFA, NIFA requests applications for six AFRI priority areas through the Foundational and Applied Science Program for FY 2019 and FY 2020: 1. Plant health and production and plant products; 2. Animal health and production and animal products; 3. Food safety, nutrition, and health; 4. Bioenergy, natural resources, and environment; 5. Agriculture systems and technology; and 6. Agriculture economics and rural communities. A number of these priority areas call for proposals specifically dealing with issues related to big data.

In addition, NIFA invites proposals for Food and Agriculture Cyber informatics Tools (FACT) which address the priority areas listed above. The FACT program focuses on data science to enable systems and communities to effectively utilize data, improve resource management, and integrate new technologies and approaches to further U.S. food and agriculture enterprises. The program encourages university-based research as well as public and private partnerships. This program area priority will support projects that examine the value of data for small and large farmers, as well as the agricultural and food industries, and gain an understanding of how data can impact the agricultural supply chain, reduce food waste and loss, improve consumer health, environmental and natural resource management, affect the structure of U.S. food and agriculture sectors, and increase U.S. competitiveness. The most competitive FACT proposals will be equally well grounded in the agricultural sciences and data science component.
DOCNIST
National Institute of Standards and Technology (NIST)
Measurement Science and Engineering (MSE) Research Grants Program
Sponsor Deadline: Rolling through April 30, 2020 
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: In FY 2019, the ITL anticipates funding individual projects in the $10,000-$500,000 per year range and with project performance periods of up to five years. The MML anticipates funding individual projects in the $5,000-$12M per year range and with project performance periods of up to five years.
 
NIST's Information Technology Laboratory (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, Artificial Intelligence, Big Data, Biometrics, Cloud Computing, Cyber-Physical Systems, Cybersecurity, Forensic Science, Health Information Technology, Human Factors and Usability, Information Access, Information Processing and Understanding, Internet of Things (IoT), Metrology Infrastructure for Modeling and Simulation, Privacy Engineering, Quantum Information Science, and Statistics for Metrology.  See http://www.nist.gov/itl/ for more information about ITL. Financial support may be provided to attend education and outreach programs, conferences, workshops, or other technical research meetings that are relevant to the mission of the ITL. Financial support may also be provided to organizations sponsoring conferences, workshops, or other technical events that are relevant to the mission of the ITL. However, NIST cannot be an official sponsor or cosponsor for any event funded through this program.

NIST's Material Measurement Laboratory (MML) supports the NIST mission by serving as the national reference laboratory for measurements in the chemical, biological, and material sciences. MML's Office of Data and Informatics (ODI) supports researchers and institutions in the biological, chemical, and materials sciences who need to leverage both large and information-rich data sets now common in many disciplines. The ODI supports MML research programs where advanced manipulation, visualization, and analysis of large data sets are needed to advance knowledge.
DODASFOR
United States Department of Defense (DoD)
Air Force Office of Scientific Research (AFOSR)
Research Interests of the Air Force Office of Scientific Research Broad Agency Announcements: Research Grants and Conference & Workshop Support
Sponsor Deadline: Rolling (current BAAs are active until superseded)
FAS/SEAS/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 $1M 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.
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)
FAS/SEAS/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 Fundamental Research for Fiscal Years 2017 through 2022
Sponsor Deadline: Rolling (current BAA is active until March 31, 2022 or until superseded)
FAS/SEAS/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.
DoDDARPAAIMEE
Defense Advanced Research Projects Agency (DARPA)
Artificial Intelligence Exploration (AIE) Opportunity: Artificial Intelligence Mitigations of Emergent Execution (AIMEE)
Sponsor Deadline: November 8, 2019
FAS/SEAS/OSP Deadline: November 1, 2019
Award Information: The award value for the Phase 1 base (9-month feasibility study) is $500,000 and Phase 2 option (9-month proof of concept) is $500,000, for a total award value of up to $1M.
 
The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) Opportunity, inviting submissions of innovative basic research concepts in the technical domain of machine learning classifier diversity. The Artificial Intelligence Mitigation of Emergent Execution (AIMEE) program will address the problem of anticipating, at a system's design stage, the models of emergent execution inherent in its design, and thus mitigate its propensities for exploitability before they lead to actual vulnerabilities in complete deployed systems. The work proposed must include the development of:

a) A theory and formal model of emergent execution and emergent programmability.

b) Case studies of emergent execution and programming models that apply the theory in (a) to design-level prototypes of computing abstractions and demonstrate the use of AI methods and representations to anticipate emergent behaviors.

c) An outline for a general algorithmic approach to constructing representations of computing system designs suitable for the application of AI methods to aid system designers and programmers in mitigating emergent execution at system design and prototyping time.

 

This AIE Opportunity is issued under the Program Announcement for AIE, DARPA-PA-19-03 .
DoDDARPADSOBAA
Defense Advanced Research Projects Agency (DARPA)
Defense Sciences Office (DSO) Broad Agency Announcement
Sponsor Deadline: Rolling through June 12, 2020
FAS/SEAS/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 mission of the Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is to identify and create the next generation of scientific discovery by pursuing high-risk, high-payoff research initiatives across a broad spectrum of science and engineering disciplines and transforming these initiatives into disruptive technologies for U.S. national security. In support of this mission, the DSO Office-wide BAA invites proposers to submit innovative basic or applied research concepts that address one of several technical domains, including Frontiers in Math, Computation & Design. Topics of interest under this domain include, but are not limited to, the following: (1) mathematical, computational, and design frameworks and tools that provide robust solutions to challenging DoD problems such as planning, optimization, and platform design; (2) fundamental scientific underpinnings and limits of machine learning (ML) and artificial intelligence (AI); and (3) alternative computing models, architectures, and substrates for faster, more robust decision making.

Prior to submitting a full proposal, proposers are strongly encouraged to first submit an executive summary and/or abstract. This process allows a proposer to ascertain whether the proposed concept is: (1) applicable to the DSO Office-wide BAA and (2) currently of interest.
DARPAI2O
Defense Advanced Research Projects Agency (DARPA)
Information Innovation Office (I2O) Broad Agency Announcement
Sponsor Deadline:  Rolling through August 28, 2020
FAS/SEAS/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, technology, 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.
DoDDARPAYFA
Defense Advanced Research Projects Agency (DARPA)
Young Faculty Award (YFA) 
Sponsor Deadline:  November 19, 2019
FAS/SEAS/OSP Deadline: November 12, 2019
Award Information:  Each award will include a 24-month base period (maximum of $500,000) and a possible 12-month option period called the "Director's Fellowship" (maximum of $500,000).
 
DARPA's Young Faculty Award (YFA) program aims to identify and engage rising stars in junior faculty positions in academia and equivalent positions at non-profit research institutions and expose them to Department of Defense (DoD) and National Security challenges and needs. In particular, this YFA will provide high-impact funding to elite researchers early in their careers to develop innovative new research directions in the context of enabling transformative DoD capabilities. Once awards are made, each YFA performer will be assigned a DARPA Program Manager with interests closely related to their research topic. The Program Manager will act as project manager and mentor to the YFA award recipients. As part of the program, a number of visits/exercises at a variety of DoD sites and facilities will be scheduled.
 
Participation in the YFA program is limited to any current tenure-track Assistant or Associate Professors and to tenured Assistant or Associate Professors within three years of their tenure appointment at a U.S. institution of higher education or equivalent at a U.S. non-profit science and technology research institution. Previous YFA recipients are not eligible to apply to this or any future YFA program, though recipients of non-YFA DARPA awards are eligible to propose.
 
This Research Announcement (RA) solicits single principal investigator (PI) proposals for research and development in the 27 specific Technical Areas (TAs) of interest, including:
  • Decision Making Algorithm for Medical Countermeasure (MCM) Development
  • Microbial Community Modeling
  • AI System Engineering
  • Scientific Model Aware Computing
  • Push Science
Proposing PIs are limited to submitting only one full proposal to only one topic under this RA.
DoDERDC2019
U.S. Army Engineer Research and Development Center (ERDC)
2019 ERDC Broad Agency Announcement
Sponsor Deadline for Pre-Proposals (required): Rolling through January 31, 2020
Sponsor Deadline for Full Proposals: TBD
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Research and Conference/Symposia Grants are available.   
 
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 the broad fields of hydraulics,
dredging, coastal engineering, instrumentation, oceanography, remote sensing, geotechnical
engineering, earthquake engineering, soil effects, vehicle mobility, self-contained munitions,
military engineering, geophysics, pavements, protective structures, aquatic plants, water
quality, dredged material, treatment of hazardous waste, wetlands, physical/mechanical/
chemical properties of snow and other frozen precipitation, infrastructure and environmental
issues for installations, computer science, telecommunications management, energy,
facilities maintenance, materials and structures, engineering processes, environmental
processes, land and heritage conservation, and ecological processes. This research is
conducted by Government personnel and by contract with educational institutions, non-profit
organizations and private industries.

The Information Technology Lab (ITL) conducts research, development, and studies and provides technical assistance and operational support in information technology (IT) and closely related fields. One of ITL's research areas is Big Data Analytics. There is an interest to leverage High Performance Computing resources to develop an ecosystem approach to manage and conduct big data analytics with extreme data sets created by physics based, high-fidelity model processes. It is desirable for these new and innovative big data analytic techniques to use an integrated hardware platform that may include CPUs, GPUs, and storage systems. Data analytics in context of this BAA may include big data processes such as; data capture, data curation, search, sharing, storage, transfer, and visualization. 
NGIA2018
National Geospatial-Intelligence Agency (NGA)
National Geospatial-Intelligence Agency Academic Research Program (NARP) 2018
Sponsor Deadline:  Rolling (current BAA is active until December 31, 2021)
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  Varies by award type 
 
DoDNRLBAA
United States Department of Defense (DoD)
Naval Research Laboratory (NRL)
NRL Long Range Broad Agency Announcement for Basic and Applied Research
Sponsor Deadline:  Rolling (current BAA is active until September 5, 2020 or until superseded)
FAS/SEAS/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 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. NRL 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.

NRL is organized into three research directorates: Systems Directorate Code 5000; Materials Science and Component Technology Directorate Code 6000; and Ocean and Atmospheric Science and Technology Directorate Code 7000; and the Naval Center for Space Technology Code 8000. Areas of interest listed in the BAA include: Information Management and Decision Architectures; Mathematical Foundations of High Assurance Computing; Federated, Distributed Computing/Network Infrastructure; and Cyber Secure Open Source Information and Analytics. Additional information about the NRL Program Codes and the science and technology thrusts that NRL is pursuing can be found at the NRL website.

Interested offerors must first submit a white paper (WP), which are continuously accepted prior to closing date of the announcement. Offerors of those WPs found to be consistent with the intent of the BAA will be invited to submit a full proposal.
NSWCNEECFY19  Naval Surface Warfare Center (NSWC), Indian Head Explosive Ordnance Disposal Technology Division (IHEODTD)
Naval Engineering Education Consortium (NEEC) Broad Agency Announcement for FY19
Sponsor Deadline:  November 1, 2019
FAS/SEAS/OSP Deadline: October 25, 2019
Award Information:  Awards made from this BAA will be approximately $150,000 total (base and two option years).

On behalf of the Naval Sea Systems Command (NAVSEA) Warfare Centers, the Naval Surface Warfare Center's Indian Head Explosive Ordnance Disposal Technology Division (NSWC IHEODTD) is soliciting research of interest in support of the Naval Engineering Education Consortium (NEEC). The topics of interest include (see solicitation for a complete list):

  • CO-02: Innovative concepts for automated data ingestion and combination for disparate datasets. Proposal should address automated techniques to clean and combine multiple types of data sets--an example pairing includes combining time series and manning data. Research should include effects of high dimensionality associated with volume, variety, velocity, and veracity.
  • DD-02: Analysis and development of quantum and quantum-inspired algorithms for applications in machine learning and artificial intelligence which may include elements related to data classification, clustering, network security, optimization, and community detection.
  • KPT-03: Predictive analysis of user behavior and user data needs for an application in a data rich environment. Research models and methods of identifying a user's level of expertise, and identifying user's data needs using data analytics methods such as artificial intelligence, machine learning, and neural networks. Identify ways to pre-stage data for the user and make suggestions for the user based on these models and methods.
  • NPT-01: Innovative concepts for big data collection, classification, automatic integration, and querying from potentially sensitive sources with applicability to naval readiness and naval situational awareness. 
Interested proposers may submit proposals under more than one topic of interest and there is no limit to the number of technical proposals a single interested proposer may submit. However, interested proposers may not submit the same technical proposal to more than one warfare center or activity identified in this BAA.
DODONR
United States Department of Defense (DoD)*
Office of Naval Research (ONR)
FY20 Long Range Broad Agency Announcement for Navy and Marine Corps Science and Technology
Sponsor Deadline:  Rolling (current BAA is active until September 30, 2020 or until superseded)
FAS/SEAS/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. Information about ONR's areas of interest is provided on the ONR website.  

Areas of interest related to big data include: 
  • Applied and Computational Analysis
  • Artificial Intelligence/Machine Learning for Photonics, Power & Energy, Atmospherics, and Quantum Science
  • Computational Methods for Decision Making
  • Computational Neuroscience
  • Machine Learning, Reasoning and Intelligence
  • Mathematical Data Science
Prior to preparing proposals, potential offerors are strongly encouraged to contact the ONR point of contact (POC) identified for each research area.
DOEOfficeofScienceFY17
Office of Science (SC)
FY 2019 Continuation of Solicitation for the Office of Science Financial Assistance Program
Sponsor Deadline:  Rolling (current solicitation is active until October 31, 2019 or until superseded)
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards in FY17 ranged from $2,000/year to $4M/year. It is anticipated that approximately $250M will be available for DOE Office of Science new, renewal, and supplemental grants and cooperative agreement awards under this and other, more targeted FOAs in FY19. 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. 

Through this FOA, the Department of Energy (DOE)'s Office of Science (SC) announces its continuing interest in receiving grant applications for support of work in the following program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, and Nuclear Physics. 

Most relevant to big data is the Advanced Scientific Computing Research (ASCR) program. Its 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.
Please note that pre-applications are optional yet encouraged.
NASAAppedixFPSI
Use of the NASA Physical Sciences Informatics System Appendix F: Soliciting Proposals for the Use of the NASA PSI System for Combustion Science, Complex Fluids, Fluid Physics, Fundamental Physics, and Materials Science
Sponsor Deadline for Letters of Intent (strongly encouraged): October 28, 2019
Sponsor Deadline for Full Proposals: December 16, 2019
FAS/SEAS/OSP Deadline: December 9, 2019
Award Information:  Up to $100,000/year in total costs for a maximum of 2 years. Approximately 5 awards are anticipated.
 
This Appendix to the Use of the NASA Physical Sciences Informatics (PSI) System NASA Research Announcement (NNH17ZTT001N) solicits ground-based research proposals to utilize NASA's Physical Sciences Informatics (PSI) system to develop new analyses and scientific insights. The PSI system is designed to be a resource for researchers to data mine information generated from completed reduced-gravity physical sciences experiments performed on the International Space Station (ISS), Space Shuttle flights, Free Flyers, commercial cargo flights to and from the ISS, or from related ground-based studies. Specifically, this call is for the utilization of data from investigations that are currently available in the PSI system (see the solicitation for a complete list). This Appendix solicits proposals in the following five research areas: 1) Combustion Science, 2) Complex Fluids, 3) Fluid Physics, 4) Fundamental Physics, and 5) Materials Science. Proposals in the Biophysics discipline will not be considered for this Appendix.  The Appendix is soliciting proposals from established researchers, postdoctoral scholars and graduate students. 
NetAppFacultyFellowship
Advanced Technology Group (ATG)
NetApp ATG Faculty Fellowship Program
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information : Award  amounts vary, however they usually cover a significant amount of the cost for a graduate student to work on the project for a year. FAS and SEAS applicants must request an indirect cost rate of 69% on sponsored research applications to industry.  
 
The NetApp Faculty Fellowship (NFF) program was established to encourage leading-edge research in storage and data management and to foster relationships between academic researchers and NetApp's technical community. The NFF program accepts research proposals from full-time faculty and post-graduate researchers employed by an accredited university that has a PhD program in the field of the proposal's principal investigators.

The NFF program is interested in proposals that describe an innovative project that a researcher desires to pursue over the next one to three years. The proposed research must have some alignment with NetApp core technology and business interests (storage and data management). A sponsor from NetApp will be assigned to communicate and in some cases may collaborate with project's PI(s) and team. 

Topics of particular interest include:
  • Data security in next generation data centers
  • Data management and security in hybrid clouds
  • Data center and enterprise networking
  • Novel data systems, including NoSQL databases, big data systems, and data streaming systems
  • IoT and real time analytics
NSFCRCNS
Directorate for Computer & Information Science & Engineering (CISE)
Collaborative Research in Computational Neuroscience (CRCNS)
Sponsor Deadline: November 25, 2019    
FAS/SEAS/OSP Deadline: November 18, 2019
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, with potentially $15-$20M annually, depending on the quality of proposals and availability of funds. 
 
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), Japan's National Institute of Information and Communications Technology (NICT), and the State Research Agency (Agencia Estatal de Investigación, AEI) and National Institute of Health Carlos III (Instituto de Salud Carlos III, ISCIII), both of Spain, 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, US-Spanish Research Proposals, US-Spanish Data Sharing Proposals, and multilateral proposals involving the United States and two or more CRCNS partner countries (please see Section VIII of the solicitation for country-specific instructions, areas of interest and limitations). 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.
NSFCCRI
Directorate for Computer & Information Science & Engineering (CISE)
CISE Community Research Infrastructure (CCRI)
Sponsor Deadline for Letters of Intent (required): November 12, 2019    
Sponsor Deadline for Full Proposals: January 9, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information The majority of the  New awards will be made in the $750,000-$1.5M Medium range, for up to 3 years. A small number of Grand awards may be made in the $1.5M-$5M range for up to 5 years. The majority of the Planning awards will be made in the $50,000-$100,000 range for up to 1.5 years. The majority of the ENS awards will be made in the $750,000-$2M range for up to 3 years . Up to 10 New awards, up to 5 ENS awards, and 3-5 Planning awards are anticipated in each competition.
 
The Computer and Information Science and Engineering (CISE) Community Research Infrastructure (CCRI) program drives discovery and learning in the core CISE disciplines of the three participating divisions [(Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information and Intelligent Systems (IIS)] by funding the creation and enhancement of world-class research infrastructure. This research infrastructure will specifically support diverse communities of CISE researchers pursuing focused research agendas in computer and information science and engineering. This support involves developing the accompanying user services and engagement needed to attract, nurture, and grow a robust research community that is actively involved in determining directions for the infrastructure as well as management of the infrastructure. This should lead to infrastructure that can be sustained through community involvement and community leadership, and that will enable advances not possible with existing research infrastructure. Further, through the CCRI program, CISE seeks to ensure that researchers from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, as well as researchers from non-profit, non-academic organizations, have access to such infrastructure.

The CCRI program supports two classes of awards:
  • New awards support the creation of new CISE community research infrastructure with integrated tools, resources, user services, and community outreach to enable innovative CISE research opportunities to advance the frontiers of the CISE core research areas. The New award class includes Grand Ensemble (Grand), Medium Ensemble (Medium), and Planning awards. 
  • Enhance/sustain (ENS) awards support the enhancement and sustainment of an existing CISE community infrastructure to enable world-class CISE research opportunities for broad-based communities of CISE researchers that extend well beyond the awardee organization(s).
In each annual competition, an individual may participate in at most one proposal, across all classes, as PI, co-PI, or Senior Personnel. Infrastructures that have received CISE Research Infrastructure (CRI) SUSTAIN awards are not eligible for funds from the CCRI program.
NSFCDSE
National Science Foundation (NSF)
Computational and Data-Enabled Science and Engineering (CDS&E)
Sponsor Deadline: Varies by program  
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information Varies by program.  Supplemental 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
Directorate for Mathematical & Physical Sciences (MPS)
Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)
Sponsor Full Proposal Window: September 1-15, 2020  
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information : Unspecified
 
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 at 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.
NSFCIforBioResearch
Directorate for Biological Sciences (BIO)
Cyberinfrastructure for Biological Research (CIBR)
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: The size and duration of any individual request should be justified by the amount and complexity of the work to be accomplished. As a rule, the larger the budget, the greater the expected impact on the biological research community.
 
Biological processes at all scales from molecules to ecosystems are determined through the encoding, exchange, and interpretation of information. Advances in the biological sciences are enabled by our capacity to acquire, manage, represent, and analyze biological information through the use of modern instrumentation and computational tools. Proposals are invited that offer potentially transformative outcomes through the development of informatics tools and resources that: (1) offer novel and significant advances in the use of biological data and/or (2) will enable and stimulate advances through their impact on a significant segment of the biological research community supported by the NSF BIO Directorate.

Awards in CIBR should produce, or substantially expand a finished product that will have demonstrable impact in advancing biological research. Proposals should convey their likelihood of success through greater attention to user engagement, design quality, engineering practices, management plan, and dissemination. Budgets and award durations should accommodate the iterative process of bringing a proof of concept into a robust, broadly-adopted cyberinfrastructure. Development proposals are more outcome-driven than Innovation awards and are typically assessed on their perceived contribution to a broad portfolio of cyberinfrastructure resources. Synergies with, and leveraging of, other existing and ongoing resources are taken into consideration. Full proposals may be submitted anytime through the  Infrastructure Capacity for Biology Core Program (ICB).
NSFCESER
Directorate for Computer & Information Science & Engineering (CISE)
Cyberinfrastructure for Emerging Science and Engineering Research (CESER)
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Unspecified
 
The Cyberinfrastructure for Emerging Science and Engineering Research (CESER) program aims to catalyze new science and engineering discovery pathways through early-stage collaborative activities between disciplinary scientists and engineers as well as developers/implementers of innovative cyberinfrastructure (CI) capabilities, services, and approaches.

CESER accepts proposals pursuant to this Program Description year-round. From time to time, NSF may also issue Dear Colleague Letters pursuant to CESER to signal special thematic interests and opportunities. CESER employs existing NSF funding mechanisms to accomplish the program's goals such as EArly-concept Grants for Exploratory Research (EAGER) and Conference proposals.  Successful CESER projects typically involve co-funding from the relevant disciplinary research programs within NSF. Consequently, before submitting a proposal to CESER, proposers  must first  (1) discuss their ideas with a cognizant CESER Program Officer to ensure that CESER is the appropriate venue for the proposal and (2) discuss their ideas with the relevant NSF disciplinary science and engineering research program(s) to ensure there is adequate disciplinary interest in the proposed effort.
NSFDCLMODULUS
Dear Colleague Letter: Models for Uncovering Rules and Unexpected Phenomena in Biological Systems (MODULUS)
Sponsor Deadline:  For proposals submitted to MCB, the deadline is April 1, 2020 to be considered for FY20 funding. Proposals may be submitted to the Mathematical Biology program during its regular submission window, August 20-September 5, 2020.
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  Unspecified
 
The National Science Foundation's Division of Mathematical Sciences (DMS), in collaboration with the Division of Molecular and Cellular Biosciences (MCB), seeks to promote interdisciplinary research that enables novel mathematical and computational approaches that capture and explore the full range of mechanisms and biological variability needed to better understand biological systems behavior across multiple scales.  Funding opportunities are available in fiscal years FY2019 and FY2020 to provide support for proposals from interdisciplinary teams comprised of mathematical, computational, and biological scientists to develop MODels for Uncovering Rules and Unexpected Phenomena in Biological Systems (MODULUS). This Dear Colleague Letter (DCL) is to encourage researchers involved in the biosciences and the mathematical sciences to collaborate formatively in biological investigations using novel mechanistic mathematical models to guide biological exploration and discovery of new rules in living systems.

Proposals in response to this DCL should be submitted to either DMS via the  Mathematical Biology Program Description  or the MCB solicitation,  NSF 18-585 , directed to the Systems and Synthetic Biology program (8011). 
NSFFMiTF
Directorate for Computer & Information Science & Engineering (CISE)
Formal Methods in the Field (FMitF)
Sponsor Deadline: January 22, 2020
FAS/SEAS/OSP Deadline: January 14, 2020
Award Information:  Research Proposals are limited to $750,000 in total budget, with durations of up to four years. TTP proposals  are limited to $100,000 in total budget, with durations of up to 18 months.
 
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. This solicitation limits the field to the following areas that stand to directly benefit from a grounding in formal methods: computer networks, cyber-human systems, distributed /operating systems, embedded systems, and machine learning. Other field(s) may emerge as priority areas for the program in future years, subject to the availability of funds.

The FMitF program solicits two classes of proposals:
  • Track I: Research proposals - Proposals are expected to address the fundamental contributions to both formal methods and the respective field(s) and should include a proof of concept in the field along with a detailed evaluation plan that discusses intended scope of applicability, trade-offs, and limitations.
  • Track II: Transition to Practice (TTP) proposalsThe objective of this track is to support the ongoing development of extensible and robust formal methods research prototypes/tools to facilitate usability and accessibility to a larger and more diverse community of users. 
NSFGCR
Growing Convergence Research (GCR)
Sponsor Deadline: February 3, 2020
FAS/SEAS/OSP Deadline: January 27, 2020
Award Information:   Interested researchers may request up to $1.2M in total costs for the first two years and $2.4M for the last three years.   Successful proposals will be funded initially for two years and t eams that show significant progress during the first two years will receive funding for an additional three years. Approximately 10 awards are anticipated.
 
Growing Convergence Research is a new NSF-wide program. NSF identified Growing Convergence Research (GCR) as one of 10 Big Ideas. Convergence research is a means for solving vexing research problems, in particular, complex problems focusing on societal needs. It entails integrating knowledge, methods, and expertise from different disciplines and forming novel frameworks to catalyze scientific discovery and innovation.

GCR identifies  Convergence Research as having two primary characteristics:
  • Research driven by a specific and compelling problem. Convergence Research is generally inspired by the need to address a specific challenge or opportunity, whether it arises from deep scientific questions or pressing societal needs.
  • Deep integration across disciplines. As experts from different disciplines pursue common research challenges, their knowledge, theories, methods, data, research communities and languages become increasingly intermingled or integrated. New frameworks, paradigms or even disciplines can form sustained interactions across multiple communities.
This GCR solicitation targets multi-disciplinary team research that crosses directorate or division boundaries and is currently not supported by NSF programs, initiatives and research-focused Big Ideas. Proposers must make a convincing case that the research to be conducted is within NSF's purview and cannot be supported by existing NSF programs and multidisciplinary initiatives. A PI or a co-PI may participate in only one proposal in response to this solicitation. They may not participate in any role in any other proposal. 
NSFNCS
National Science Foundation (NSF)
Integrative Strategies for Understanding Neural and Cognitive Systems
Sponsor Deadline for Letters of Intent (required):  January 8, 2020 for FOUNDATIONS Awards; CORE+ SUPPLEMENTS proposals do not require an LOI
Sponsor Deadlines for Full Proposals:  February 26, 2020 for FOUNDATIONS Awards and CORE+ SUPPLEMENTS Awards
FAS/SEAS/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. 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.
 
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. 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.
NSFAIInstitutes
National Artificial Intelligence (AI) Research Institutes
Sponsor Deadline: January 28, 2020 for Institute proposals; January 30, 2020 for Planning proposals
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information : Institute proposals may request up to $4M per year for 4-5 years; Planning proposals may request up to $500,000 for up to 2 years.
 
Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements. The 2019 update to the  National Artificial Intelligence Research and Development Strategic Plan , informed by visioning activities in the scientific community as well as interaction with the public, identifies as its first strategic objective the need to make long-term investments in AI research in areas with the potential for long-term payoffs in AI.
 
This program, a joint effort of the National Science Foundation (NSF), U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA), U.S. Department of Homeland Security (DHS) Science & Technology Directorate (S&T), U.S. Department of Transportation (DOT) Federal Highway Administration (FHWA), and U.S. Department of Veterans Affairs (VA), seeks to enable such research through AI Research Institutes. This program solicitation describes two tracks: Planning and Institute tracks. Submissions to the Planning track are encouraged in any areas of foundational and use-inspired research appropriate to NSF and its partner organizations. Proposals for the Institute track must have a principal focus in one or more of the following themes:
  • Trustworthy AI;
  • Foundations of Machine Learning;
  • AI-Driven Innovation in Agriculture and the Food System;
  • AI-Augmented Learning;
  • AI for Accelerating Molecular Synthesis and Manufacturing; and
  • AI for Discovery in Physics.
NSFCompPhysics
Directorate for Mathematical and Physical Sciences (MPS)
Physics at the Information Frontier
Sponsor Deadline: December 3, 2019
FAS/SEAS/OSP Deadline: November 22, 2019
Award Information : Award size and duration will be commensurate with the scope of the proposed project.
 
Physics at the Information Frontier (PIF) supports the development of enabling capabilities through computational advances that are required to address compelling scientific goals relevant to disciplines within the purview of the Physics Division. The program emphasizes aspects of Big Data and High-Performance Computing convergence, convergent research for algorithm development and efficient use of novel architectures, and community-building activities for computational and data-enabled science.

The Physics at the Information Frontier (PIF) 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, and particle astrophysics. Proposals with intellectual focus in areas supported by other NSF Divisions should be submitted to those divisions directly.  The Physics at the Information Frontier (PIF) program accepts proposals only as noted in the PHY Program Solicitation.
NSFSaTC
Directorate for Computer & Information Science & Engineering (CISE)
Secure and Trustworthy Cyberspace (SaTC)
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: See below for details. NSF anticipates approximately 13 EDU awards, 35 Small awards, and 25 Medium awards.
 
The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; education; mathematics; statistics; and social, behavioral, and economic sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are each welcome.

Proposals must be submitted pursuant to one of the following designations, each of which may have additional restrictions and administrative obligations as specified in the program solicitation.
  • CORE: This designation is the main focus of the SaTC research program, spanning the interests of NSF's Directorates for Computer and Information Science and Engineering (CISE), Engineering (ENG), Mathematical and Physical Sciences (MPS), and Social, Behavioral and Economic Sciences (SBE).
  • EDU: The Education (EDU) designation will be used to label proposals focusing entirely on cybersecurity education. 
  • TTP: The Transition to Practice (TTP) designation will be used to label proposals that are focused exclusively on transitioning existing research results to practice.
CORE and TTP proposals may be submitted in one of the following project size classes:
  • Small projects: up to $500,000 in total budget, with durations of up to three years;
  • Medium projects: $500,001 to $1,200,000 in total budget, with durations of up to four years.
EDU proposals are limited to $400,000 in total budget, with durations of up to three years.

An individual can participate as a PI, co-PI or senior personnel on no more than four SaTC proposals (two designated as CORE (across Small and Medium), one designated as TTP (across Small and Medium), and one designated as EDU). These limits apply for the period from Oct 1st to Sept 30th of the following year to all proposals in response to this solicitation and are unrelated to any limits imposed in other NSF solicitations.
NSFStatistics
Directorate for Mathematical & Physical Sciences (MPS)
Statistics
Sponsor Full Proposal Window: December 1-16, 2019
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Unspecified
 
The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects. Conference and workshop proposals should be submitted eight months before the requested starting date.
Sloan
Digital Information Technology - Data and Computational Research
Sponsor Deadline: Rolling, requires Letter of Inquiry
FAS/SEAS/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.
SloanEnergyEnvironment
Energy & Environment
Sponsor Deadline: Rolling, requires Letter of Inquiry
FAS/SEAS/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 advance understanding about the economic, environmental, security, and policy trade-offs associated with the increased deployment of low- and no-carbon resources and technologies across the energy system and the resulting impacts on the quality of American life.  Grants in this program focus on generating novel research and knowledge; training the next generation of scholars and practitioners; building multidisciplinary networks and communities; educating stakeholders and disseminating information for decision-making; and attracting additional resources. Funds will support the  investigation of underexplored research questions related to energy sources (supply), transmission and distribution, energy use (demand), new energy technologies, the economics of energy transmission and distribution, big data, energy efficiency, and transportation.

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 
FAS/SEAS/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.
HRSAMCHR40
Maternal and Child Health Bureau, Division of Research, Office of Epidemiology and Research
R40 Maternal and Child Health (MCH) Secondary Data Analysis Research (SDAR) Program
Sponsor Deadline:  January 8, 2020
FAS/SEAS/OSP Deadline: December 24, 2019
Award Information: Up to $100,000 for one year. Up to 5 awards are anticipated.

The R40 MCH SDAR Program supports applied MCH research that exclusively utilizes the secondary analyses of existing publicly available and accessible national databases and/or administrative records to improve the health and well-being of MCH populations. The program accelerates the pace of research in a cost-effective way by providing researchers with an opportunity to pose new research questions, test new hypotheses, and determine pathways and feasibility of interventions using existing data sets, rather than conducting primary data collection, which is both costly and time-consuming.
MLSCBitstoBytes
Bits to Bytes
Sponsor Deadline:  January 23, 2020
FAS/SEAS/OSP Deadline: January 15, 2020
Award Information: Awards are typically up to $750,000 for 3-4 years. Approximately $10M capital dollars are available to support work and equipment at the not-for-profit partners.

The Bits to Bytes Capital Call is designed to provide grants for capital projects that support the life sciences ecosystem in Massachusetts by enabling and supporting the generation and analysis of large datasets to answer pressing life science questions, and to attract and train data scientists in the Commonwealth.  Project teams comprise Massachusetts-based not-for-profit applicants collaborating with at least one for-profit Massachusetts life science company. The f or-profit partner provides salary support for at least one new data scientist (either graduate student or postdoctoral fellow) to be appointed, at least in part, at the not-for-profit partner, as well as other financial and in-kind contributions to leverage MLSC capital dollars.  Project Teams are allowed to submit only one application per round.
NIHDrugAbuseResearchR01
Accelerating the Pace of Drug Abuse Research Using Existing Data (R01 Clinical Trial Optional)
Sponsor Deadlines:  February 5, 2020; June 5, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission 
Award Information: Budgets may request no more than $499,999 in direct costs per year, and the maximum project period is 5 years.

The purpose of this Funding Opportunity Announcement is to invite applications proposing innovative analysis of existing social science, behavioral, administrative, and neuroimaging data to study the etiology and epidemiology of substance using behaviors (defined as alcohol, tobacco, prescription and other substances) and related disorders, prevention of substance 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 substance 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 substance use disorder and HIV. 
NIHBRAINDataAnalysisR01
BRAIN Initiative: Integration and Analysis of BRAIN Initiative Data (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested):  30 days prior to the proposal deadline
Sponsor Deadlines for Full Proposals: March 6, 2020; September 9, 2020; March 4, 2021
FAS/SEAS/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 3 years. NIH intends to commit an estimated total of $4M to fund 10 awards.

This FOA solicits applications to develop informatics tools for analyzing, visualizing, and integrating data related to the BRAIN Initiative or to enhance our understanding of the brain. Tools that integrate different types of data may link data across multiple scales or across different species. The focus for integration tools in this FOA is mainly in finding the data and applying metrics for data alignment, standardization and normalization for further analysis. The tools must be user-friendly in accessing and analyzing data from appropriate data archives. Ultimately, it is expected that much of the BRAIN Initiative data will be stored in a cloud environment, although that may not be initially true. In general, the tools supported under this FOA should analyze/visualize data without the need to download them. The tools should allow data to be combined for analysis/visualization from multiple locations.
NIHBRAINSecondaryAnalysisR01
BRAIN Initiative: Secondary Analysis and Archiving of BRAIN Initiative Data (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested):  May 11, 2020
Sponsor Deadline for Full Proposals: June 11, 2020
FAS/SEAS/OSP Deadline: June 4, 2020
Award Information:  Maximum of $300,000 in direct costs per year for up to 3 years. NIH intends to commit an estimated total of $4M to fund 8 awards in FY2020.

This Funding Opportunity Announcement (FOA) encourages secondary analysis of the large amounts of existing data related to the BRAIN Initiative. The data do not need to be held in one of the funded BRAIN Initiative data archives, but the data must be held in a data archive that is readily accessible to the research community. Support will be provided for innovative analysis of relevant existing datasets using conventional or novel analytic methods, data science techniques, and machine learning approaches. Support may also be requested to prepare and submit existing data into any of the BRAIN Initiative data archives. Investigators should not underestimate the time and effort that may be necessary to curate or harmonize data.
 
Analyzed data, models and analytical tools generated under this FOA are expected to be deposited into an appropriate data archive. Since the BRAIN Initiative data archives are mostly making the data available to the research community through cloud-based storage, depositing the analyzed data, models and tools are expected to enhance opportunities to create a data sandbox where investigators can easily compare the results of their analysis with those from other research groups.
 
The goal of this FOA is to promote studies that will significantly advance new discoveries and accelerate the pace of research of the BRAIN Initiative through harnessing the big data and machine learning opportunities. Awardees are expected to enhance the value of existing data, improve the overall data integration and analysis capability, and strengthen the statistical power and rigor and reproducibility of BRAIN Initiative related data.
NIHGettingtoZeroR01
Getting to Zero: Understanding HIV Viral Suppression and Transmission in the United States (R01 Clinical Trial Not Allowed)
Sponsor Deadline: March 13, 2020
FAS/SEAS/OSP Deadline: March 6, 2020
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 Clinical Trial Optional)
Sponsor Deadlines: January 7, 2020; May 7, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited but need to reflect the actual needs of the proposed project. The maximum project period is 5 years. 

The purpose of this FOA is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). This FOA will support projects to assemble diverse big data sources, conduct robust and reproducible analyses, and create meaningful visualizations of big data, as well as engage ethical experts where appropriate to ensure the development of this scientific area is guided by ethical principles.
NIHNCATSBiomedDataTranslatorOT2
National Center for Advancing Translational Sciences (NCATS)
Biomedical Data Translator: Development (OT2 Single Component Research Project)
Sponsor Deadline:  November 7, 2019
FAS/SEAS/OSP Deadline: November 15, 2019 
Award Information: NCATS intends to commit approximately $13.5 million in FY 2020 to fund up to 20 initial awards, with up to 15 awardees receiving continued funding support. The award project period is up to 5 years.

These awards will establish the initial Biomedical Data Translator consortium. Translator will serve as a resource for computationally-assisted exploration of knowledge and construction of new research hypotheses. The knowledge presented to the user will be a network of empirical biomedical knowledge from a variety of sources. The consortium will develop community standards for data re-use, build and disseminate common services for Translator, support the integration of existing medical and biological data sources, build and disseminate common services for Translator, and produce tools that augment human reasoning and inference for understanding the pathophysiology of human disease. There are three distinct program components to this FOA: Knowledge Providers; Autonomous Relay Agents; and Standards and Reference Implementation Component. Applicants can only apply for one component in a single application.
NIHICTRR21
National Cancer Institute (NCI)
Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21 Clinical Trial Optional)
Sponsor Deadline:  November 20, 2019
FAS/SEAS/OSP Deadline: November 13, 2019 
Award Information: Direct costs are limited to $275,000 over a two year period. No more than $200,000 may be requested in any single year. NCI intends to commit $1,240,000 in FY 2020 to fund 6 awards.

The purpose of this Funding Opportunity Announcement is to invite exploratory/developmental research grant applications (R21) 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, early cancer detection, risk assessment and 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 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. 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, there must be a clear rationale for how the proposed informatics method or algorithm is novel and how it will benefit the cancer research field.
NIHITCRU01andU24
National Institutes of Health (NIH)
National Cancer Institute (NCI)
Informatics Technologies for Cancer Research and Management (U01 and U24 Clinical Trial Optional)
Sponsor Deadline:  November 20, 2019
FAS/SEAS/OSP Deadline: November 13, 2019 
Award Information: Early-Stage Development awards are limited to $300,000 in direct costs (excluding consortium F&A) per year, for up to 3 years. Advanced Development awards are limited to $600,000 in direct costs (excluding consortium F&A) per year, for up to 5 years. Budgets for Sustained Support awards are not limited and have a maximum project period of 5 years.

The purpose of these Funding Opportunity Announcements (FOAs) is to invite Cooperative Agreement applications for 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, early cancer detection, risk assessment and prevention, cancer control and epidemiology, and/or cancer health disparities.   These FOAs are issued as part of NCI's Informatics Technology for Cancer Research ( ITCR ) Program, which aims  to promote research-driven informatics technology across the development lifecycle to address priority needs in cancer research.   

Early-Stage Development of Informatics Technologies for Cancer Research and Management (U01 Clinical Trial Optional) focuses on early-stage development from prototyping to hardening and adaptation. Early-stage development is defined for the purpose of this FOA as initial tool development or the significant modification of existing tools for new applications. 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. 

Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional) invites applications for advanced development and enhancement of emerging informatics technologies, 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. 

Sustained Support for Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)  invites applications for the continued development and sustainment of high value informatics research resources. This FOA focuses on sustaining operations and improving the user experience and availability of existing, widely-adopted informatics tools and resources. 
NIHNHGRICompGenomicsDS
National Institutes of Health (NIH)
National Human Genome Research Institute (NHGRI)
Investigator Initiated Research in Computational Genomics and Data Science (R01 and R21 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals: November 16, 2019; July 16, 2020; November 16, 2020; July 16, 2021  
FAS/SEAS/OSP Deadline: 5 business days prior to submission 
Award Information: R01  application budgets are limited to $500,000 in direct costs per year . The maximum project period for an R01 is 5 years. The combined budget for direct costs for a two year R21 project period may not exceed $275,000. No more than $200,000 may be requested in any single R21 budget year.

The purpose of these funding opportunity announcements (FOAs) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. These FOAs support fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under these FOAs should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All applications should address how the methods would scale to address larger and larger data sets.
NIHNHLBIDCCU24
National Heart, Lung, and Blood Institute (NHLBI)
Data Coordinating Center for Multi-Site Investigator-Initiated Clinical Trials (Collaborative U24 Clinical Trial Required)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to the deadline
Sponsor Deadlines for Full Proposals:  February 11, 2020; June 10, 2020; October 14, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission 
Award Information:  Application budgets are not limited. The combined budgets of the CCC and DCC will be used to determine whether the policy regarding direct costs of $500,000 or more in any year will be applied. The period of award is expected to be 5 years. Up to 7 years may be requested if strongly justified.

This Funding Opportunity Announcement (FOA) supports applications for a collaborating Data Coordinating Center (DCC) for investigator-initiated multi-site clinical trials including efficacy, comparative effectiveness, pragmatic and/or implementation research clinical trials. These trials may include ones that test different therapeutic, behavioral, and/or prevention strategies. Trials for which this FOA applies must be relevant to the research mission of the NHLBI and meet the NIH definition of a clinical trial (see  NOT-OD-15-015 ). For additional information about the mission, strategic vision, and research priorities of the NHLBI, applicants are encouraged to consult the  NHLBI website.

This FOA will utilize a cooperative agreement mechanism of award and runs in parallel with a companion FOA ( PAR-19-329 ) that encourages applications for a collaborating Clinical Coordinating Center (CCC). The objective of the DCC application is to present a comprehensive plan to provide overall project coordination, administration, data management, and biostatistical support for the clinical trial proposed in the collaborating CCC application. Both a DCC application and a collaborating CCC application must be submitted on the same application due date for consideration by NHLBI.
NIHNIAADADRDSecondAnalysisR03
National Institute on Aging (NIA)
Small Research Grant Program for the Next Generation of Researchers in AD/ADRD Research: Area of Focus Archiving and Leveraging Existing Data Sets for Analyses (R03 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to full proposal deadline
Sponsor Deadlines for Full Proposals: February 16, 2020; June 16, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission 
Award Information: Applications may request budgets of up to $100,000 in direct costs per year for up to two years. NIH intends to fund an estimated 12 awards for this FOA and its companions, corresponding to a total of $1.8 million, for fiscal year 2020.

This Small Research Grant (R03) will support important and innovative projects to provide needed scientific insight to improve the prevention, diagnosis, treatment, and/or care for individuals with Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD). Specifically, this FOA will support archiving and leveraging existing data sets for analyses of projects covering a wide array of topics relating to AD/ADRD. The overall goal of this FOA is (i) to encourage the next generation of U.S. researchers to pursue research and academic careers in neuroscience, AD/ADRD, and healthy brain aging and (ii) to stimulate established researchers who are not currently doing AD/ADRD research to perform pilot studies developing new, innovative AD/ADRD research programs that leverage and build upon their existing expertise. Individuals from underrepresented racial and ethnic groups, as well as individuals with disabilities, are always encouraged to apply for NIH support.
NIHNICHDDataSharingDemographicR24
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Data Sharing for Demographic Research Infrastructure Program (R24 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): October 29, 2019
Sponsor Deadline for Full Proposals: November 29, 2019
FAS/SEAS/OSP Deadline: November 20, 2019 
Award Information: Application budgets are not limited. The maximum project period is 5 years. NICHD intends to commit $700,000 in total costs in FY20 to fund 1 award.

The purpose of this funding opportunity announcement is to increase the impact of NICHD-funded research within the scientific mission of the NICHD Population Dynamics Branch (PDB) by providing research infrastructure to: promote data sharing; support the development of procedures and technologies for data sharing; disseminate best practices in data sharing; provide a resource that catalogs NICHD-funded data available for secondary analysis; and promote the secondary analysis of data collected through NICHD grants to research teams outside the original grantees.
NIHNIDABDscienceHIVandSUD
National Institutes of Health (NIH)
National Institute on Drug Abuse (NIDA)
Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R01 and R21 Clinical Trials Not Allowed)
Sponsor Deadline: November 14 , 2019
FAS/SEAS/OSP Deadline: November 6, 2019 
Award Information: R01 budgets are limited to direct costs of $350k, with project periods not to exceed 5 years. In R21 proposals, the combined budget for direct costs for the two-year project period may not exceed $275,000, and no more than $200,000 may be requested in any single year. NIDA intends to commit $1M in FY2020 to fund 3-5 awards from the R01 and the R21 FOAs. 

The purpose of these FOAs is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis through big data science approaches. It is expected that the development and application of novel computational, bioinformatics, statistical, and analytical approaches can be leveraged to reveal the effects of the interaction of the HIV virus and drugs of abuse on viral activity, latency, and disease progression, as well as new aspects of addiction biology.  Applicants with preliminary data may wish to apply to the R01 FOA. High risk/high payoff projects that lack preliminary data are most appropriate for the R21 FOA. 
NIHNIDABDSAddiction
National Institutes of Health (NIH)
National Institute on Drug Abuse (NIDA)
Leveraging Big Data Science to Elucidate the Neural Mechanisms of Addiction and Substance Use Disorder (R01 and R21 Clinical Trials Not Allowed)
Sponsor Deadline: November 14 , 2019
FAS/SEAS/OSP Deadline: November 6, 2019 
Award Information: R01 budgets are limited to direct costs of $350k, with project periods not to exceed 5 years. In R21 proposals, the combined budget for direct costs for the two-year project period may not exceed $275,000, and no more than $200,000 may be requested in any single year. NIDA intends to commit $1M in FY2020 to fund 3-5 awards from the R01 and the R21 FOAs. 

The purpose of these FOAs is to attract data and computational scientists to propose novel ways to integrate data of different types and scales to allow new types of analysis. It is expected that with the development and application of novel computational, bioinformatics, statistical, and analytical approaches, previously inaccessible insights will reveal new aspects of addiction biology.

Applicants with preliminary data may wish to apply to the R01 FOA. High risk/high payoff projects that lack preliminary data are most appropriate for the R21 FOA. For both the R01 and R21, NIDA is interested in the development of tools or technologies that may significantly improve our ability to understand novel aspects of addiction biology.     
NIHNIMHAINeuralCircuitsR01
National Institute of Mental Health (NIMH)
Explainable Artificial Intelligence for Decoding and Modulating Neural Circuit Activity Linked to Behavior (R01 Clinical Trial Optional)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to full proposal deadline
Sponsor Deadlines for Full Proposals: March 10, 2020; March 10, 2021; March 10, 2022
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited. The maximum project period is 5 years. 

Explainable Artificial Intelligence (XAI) aims to provide strong predictive value along with mechanistic understanding of AI by combining machine learning techniques with effective explanatory techniques. This Funding Opportunity Announcement solicits applications in the area of XAI applied to neuroscientific questions of encoding, decoding, and modulation of neural circuits linked to behavior. This FOA encourages collaborations between computationally and experimentally-focused investigators. This FOA seeks the development of machine learning algorithms that are able to mechanistically explain how experimental manipulations affect cognitive, affective, or social processing in humans or animals. Proof-of-concept applications aimed at improving the current state of the technology that uses XAI to provide unbiased, hierarchical explanations of causal relationships between complex neural and behavioral data are also appropriate.
NIHNLMCompCuration
National Library of Medicine (NLM)
Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): December 31, 2019
Sponsor Deadline for Full Proposals: January 31, 2020
FAS/SEAS/OSP Deadline: January 24, 2020
Award Information:  Application budgets are limited to $250,000 in direct costs per year for up to 4 years.

NLM wishes to accelerate the availability of and access to secure, complete data sets and computational models that can serve as the basis of transformative biomedical discoveries by improving the speed and scope of the curation processes.
NIHNLMPersonalHealthLibrariesR01
National Library of Medicine (NLM)
Data Science Research: Personal Health Libraries for Consumers and Patients (R01 Clinical Trial Optional)
Sponsor Deadline for Letters of Intent (requested): 30 days prior to full proposal deadline
Sponsor Deadlines for Full Proposals: January 17, 2020; July 31, 2020; January 19, 2021; July 30, 2021
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Up to $250,000 in direct costs may be requested in any single year. The total project period may not exceed 4 years.

The National Library of Medicine seeks applications for novel informatics and data science approaches that can help individuals gather, manage and use data and information about their personal health. A goal of this program is to advance research and application by patients and the research community through broadly sharing the results via publication, and through open source mechanisms for data or resource sharing.

Please note that organizations are limited to submitting one proposal in response to this Program Solicitation. If you are interested in submitting a proposal, please contact Erin Hale in FAS Research Development at erin_hale@fas.harvard.edu.
NIHNLMInformaticsDSR01
National Library of Medicine (NLM)
NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)
Sponsor Deadlines: February 5, 2020; June 5, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  Application budgets are limited to $250,000 per year in direct costs.  The maximum project period is 4 years.

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM's interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include 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. NIH defines data science as the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data.

In March 2019, NIH issued a Notice of Special Interest: Computational and Statistical Methods to Enhance Discovery from Health Data to highlight its interest in receiving grant applications through this program that focus on research to reduce or mitigate gaps and errors in health data sets. NLM invites research grant applications that propose state of the art methods and approaches to address problems with large health data sets or tools used to analyze them, whether the data are drawn from electronic health records or public health data sets, biomedical imaging, omics repositories or other biomedical or social/behavioral data sets. 
NIHNIAIDSecondAnalysisIDR21
National Institute of Allergy and Infectious Diseases (NIAID)
Secondary Analysis of Existing Datasets for Advancing Infectious Disease Research (R21 Clinical Trial Not Allowed)
Sponsor Deadlines: February 16, 2020; June 16, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  Direct costs are limited to $275,000 over a two-year project period, with no more than $200,000 in direct costs allowed in any single year.

The purpose of this FOA is to support projects that utilize open-access data, alone or in combination with other datasets, to address knowledge gaps in basic and/or clinical research in infectious diseases.  
NIHMobileTechAnalyticsK18
National Institutes of Health (NIH)
Short-term Mentored Career Enhancement Awards in Mobile and Wireless Health Technology and Data Analytics: Cross-Training at the Intersection of Behavioral and Social Sciences and STEM Disciplines (K18 Independent Clinical Trial Not Allowed and K18 Independent Clinical Trial Required)
Sponsor Deadline:  July 12, 2020
FAS/SEAS/OSP Deadline: July 2, 2020
Award Information:  Award budgets are composed of salary and other program-related expenses. Participating NIH Institutes and Centers will contribute up to $80,000 per year toward the salary of the career award recipient and $25,000 per year toward the research development costs of the award recipient . The total project period may not exceed 2 years.

The goal of this program is to support the development of research capability in mobile and wireless health technology (e.g., wearable devices, mobile applications, electronic health records, data analytics). Special emphasis will be given to independent behavioral and social sciences investigators who seek to train in a STEM discipline (e.g., big data analysis, computational modeling, engineering, computer science, and mathematics) or to STEM scientists who wish to train in a behavioral and social science discipline. Before submitting the application, the candidate must identify a mentor who will supervise the proposed career development and research experience.

By the time of award, the individual must be a citizen or a non-citizen national of the United States or have been lawfully admitted for permanent residence (i.e., possess a currently valid Permanent Resident Card USCIS Form I-551, or other legal verification of such status). Candidates for the K18 award must have a research or health-professional doctoral degree. This award is intended for well-established investigators who have established records of independent, peer-reviewed Federal or private research grant funding. Applicants are not required to have active research grant support at the time of application for this award. Candidates are required to commit a minimum of 75% of full-time professional effort (i.e., a minimum of 9 person-months) to their program of career development during the mentored phase. 
NIHKidsFirstDataR03
Small Research Grants for Analyses of Gabriella Miller Kids First Pediatric Research Data (R03 Clinical Trial Not Allowed)
Sponsor Deadlines:  February 16, 2020; June 16, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: The combined budget for direct costs for the two year project period may not exceed $200,000.  

The NIH Common Fund has established the Gabriella Miller Kids First Pediatric Research Program (Kids First) to develop a pediatric research data resource populated by genome sequence and phenotypic data that will be of high value for the communities of investigators who study the genetics of childhood cancers and/or structural birth defects. K ids First has established and continues to develop a Data Resource including a collection of curated genomic and phenotypic data from childhood cancer and structural birth defects cohorts and a central portal where these data and analysis tools are accessible to the research community. Access to these data will promote comprehensive and cross-cutting research and collaboration leading to more refined diagnostic capabilities and ultimately more targeted therapies. This FOA is intended to support meritorious small research projects focused on analyses of childhood cancer and/or structural birth defects genomic datasets generated by the Kids First program and/or associated phenotypic datasets. Development of approaches, tools, or algorithms appropriate for analyzing genomic, phenotypic, and/or clinical data relevant to Kids First may also be proposed.
NIHVAEHRLargeScaleDataR01
Department of Veterans Affairs (VA)
High-Priority Areas for Research Leveraging EHR and Large-Scale Data (R01 Clinical Trial Not Allowed)
Sponsor Deadlines:  February 5, 2020; June 5, 2020
FAS/SEAS/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.

This Funding Opportunity Announcement encourages research project grant (R01) applications to leverage large-scale, real-world data from electronic health records (EHRs) from a variety of systems (e.g., the Department of Defense (DOD), Department of Veterans Affairs (VA), Centers for Medicare and Medicaid Services administrative claims, as well as public or private health care systems and networks) to understand risk, onset, course, and impact of treatments and services for mental and neurological disorders and to identify promising new mental health and neurological disorders research. There is particular interest in leveraging EHRs and administrative data to: 1) understand and improve the treatment of post traumatic psychopathology, including posttraumatic stress disorder, depression, traumatic brain injury (TBI), and risk for suicide; and 2) characterize post-trauma multi-symptom recovery trajectory patterns of TBI, that may include post traumatic stress disorder, depression, cognitive impairment, pain, substance abuse disorder and risk for suicide. NIH's National Institute of Mental Health (NIMH) also invites innovative approaches to use EHR and administrative data to understand risk, onset, course, and impact of treatments and services for mental disorders more broadly.
NSFCogNeuro
Directorate for Social, Behavioral & Economic Sciences (SBE)
Cognitive Neuroscience (CogNeuro) 
Sponsor Deadlines: February 11, 2020; August 13, 2020
FAS/SEAS/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. 
NIHNSFJointDMSNIGMS
National Institutes of Health (NIH)
Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS)
Sponsor Full Proposal Window: September 1-18, 2020 
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards for high-risk, high-reward exploratory projects, or those from new teams of collaborators, are expected to range from $100,000 to $200,000 (total costs) per year for 3 years. Awards for projects of larger scope from well-established teams are expected to range from $200,000 to $400,000 (total costs) per year with durations of 3-4 years. Approximately $5M per year will be made available for new applications (up to $2M from NSF and up to $3M from NIGMS), subject to availability of funds and receipt of meritorious proposals.
 
The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) plan to support fundamental research in mathematics and statistics necessary to answer questions in the biological and biomedical sciences. Both agencies recognize the need to promote research at the interface between mathematical and life sciences. This program is designed to encourage new collaborations, as well as to support innovative activities by existing teams. Awards from this competition may be made by either NSF or NIH at the option of the agencies, not the grantee.
NSFSCH
National Institutes of Health (NIH)
Smart and Connected Health (SCH): Connecting Data, People and Systems
Sponsor Deadline: December 11, 2019 
FAS/SEAS/OSP Deadline: December 4, 2019
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
AERA Research Grants
Sponsor Deadline: TBA (Spring 2020)
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards for Research Grants are up to $25,000 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.
NIHNIDDKFellowships
National Institutes of Health (NIH)*
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Bioinformatics Interdisciplinary Predoctoral and Postdoctoral Fellowships in Diabetes, Endocrinology and Metabolic Diseases (F31 and F32
Sponsor Deadlines: December 8, 2019; April 8, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:  Award budgets are composed of stipends, tuition and fees, and institutional allowance.

These Funding Opportunity Announcements (FOAs) are to enable promising predoctoral and postdoctoral fellows to obtain interdisciplinary training from outstanding faculty sponsors in bioinformatics and scientific research relevant to the mission of NIDDK's Division of Diabetes, Endocrinology and Metabolic Diseases (DDEMD). This training will require mentorship in both bioinformatics and metabolic disease disciplines. In order to advance bioinformatics science and encourage its application to these diseases and disorders, NIDDK invites applications from individuals with novel individual development plans (IDPs). The fellowship training plan should focus on interdisciplinary approaches and mentorship among data or computer science and medicine in topics related to diabetes, endocrinology and metabolic diseases.  These FOAs do not allow applicants to propose to lead an independent clinical trial, but do allow applicants to  propose research experience in a clinical trial led by a sponsor or co-sponsor .

By the time of award, the individual must be a citizen or a non-citizen national of the United States or have been lawfully admitted for permanent residence (i.e., possess a currently valid Permanent Resident Card USCIS Form I-551, or other legal verification of such status). Individuals may receive up to 5 years of aggregate Kirschstein-NRSA support at the predoctoral level (up to 6 years for dual degree training, e.g., MD/PhD), and up to 3 years of aggregate Kirschstein-NRSA support at the postdoctoral level, including any combination of support from institutional training grants (e.g., T32) and an individual fellowship award. Fellows are required to pursue their research training on a full-time basis.
NIHNIGMST32
National Institute of General Medicine Sciences (NIGMS)
NIGMS Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) 
Sponsor Deadlines: January 25, 2020; May 25, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Application budgets are not limited. The maximum project period is 5 years.

The goal of the National Institute of General Medical Sciences (NIGMS) sponsored Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) program is to develop a diverse pool of well-trained scientists available to address the Nation's biomedical research agenda. Specifically, this funding opportunity announcement (FOA) provides support to eligible, domestic institutions to develop and implement effective, evidence-based approaches to biomedical graduate training and mentoring that will keep pace with the rapid evolution of the biomedical research enterprise. NIGMS expects that the proposed research training programs will incorporate didactic, research, and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the Nation. NIGMS will accept predoctoral training grant applications in a  broad range of basic biomedical sciences

NIGMS recently issued a Notice announcing an expansion of the focus of its predoctoral training program in bioinformatics and computational biology to include the newly arising fields of data sciences, machine learning, deep learning, artificial intelligence, and virtual-reality technologies. Accordingly, this training program area has been renamed as  Computational Biology, Bioinformatics and Biomedical Data Science to reflect these changes.
NSFCSForAll
Computer Science for All (CSforAll:RPP)
Sponsor Deadline: February 11, 2020
FAS/SEAS/OSP Deadline: February 4, 2020
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.
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, 2020
FAS/SEAS/OSP Deadline: January 8, 2020
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
Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining)
Sponsor Deadline: January 15, 2020
FAS/SEAS/OSP Deadline: January 8, 2020
Award Information:  Pilot  Projects will be funded up to $300,000 in total costs with durations up to 2 years.  Implementation Projects may be requested at the Small level (with total budgets of up to $500,000) or Medium (with total budgets of up to $1M) for durations of up to 4 years; and  Large-scale Project Conceptualization Projects will be funded up to $500,000 in total costs with durations up to 2 years. Up to 4 Pilot, 8 Small and 3 Medium Implementation, and 3 Large-scale Project Conceptualization awards are anticipated.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering research and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research. Pilot and Implementation projects may target one or both of the solicitation goals, while Large-scale Project Conceptualization projects must address both goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental research.

Three classes of proposals are being accepted:
  • Pilot Projects are exploratory activities that may lead to Implementation projects.
  • Implementation Projects make CI training and educational activities or curriculum/instructional materials broadly accessible to a significant portion of a community for one or more disciplines. 
  • Large-Scale Project Conceptualization awards are planning grants for potential future large-scale (at the level of institutes) CyberTraining projects. 
To ensure relevance to community needs and to facilitate adoption, those proposals of interest to one or more domain divisions must include at least one PI/co-PI with expertise relevant to the targeted research discipline. All proposals shall include at least one PI/co-PI with expertise relevant to OAC. An individual may serve as PI or co-PI on only one Pilot or Implementation proposal submitted to the CyberTraining program per competition. There are no restrictions or limits on Large-scale Project Conceptualization Project proposals.
Questions about this newsletter or proposal submission may be directed to:

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

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Research Development | Research Administration Services | research.fas.harvard.edu