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November 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.
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This Request for Information invites the community to provide input to NSF on specific data-intensive science and engineering research questions and challenges and the essential data-related cyberinfrastructure services and capabilities needed to publish, discover, transport, manage and process data in secure, performant and scalable ways to enable data-intensive research.
Responses may be submitted here by December 16, 2019.
The purpose of this draft policy and supplemental draft guidance is to promote effective and efficient data management and sharing that furthers NIH's commitment to making the results and accomplishments of the research it funds and conducts available to the public. Stakeholders are
invited to comment on any aspect of the draft policy, the supplemental draft guidance, or any other considerations relevant to NIH's data management and sharing policy efforts that NIH should consider.
Responses may be submitted here by January 10, 2020.
The U.S. Department of Energy (DOE) is planning a major initiative to use artificial intelligence to speed up scientific discoveries. At a recent meeting, DOE officials said they will likely ask Congress for between $3 billion and $4 billion over 10 years
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Though DOE has yet to detail its program, it's likely to include funding for national labs to optimize existing supercomputers for AI, and external funding for academic research into AI computer architectures.
Frontera is currently offering four allocation tracks to accommodate a range of research needs for large-scale discovery science. The Frontera team will offer consulting support and assistance to each project team that is granted access. S&E teams that have successfully obtained a Frontera allocation will be invited to submit an NSF Travel proposal
for funding consideration by the Office of Advanced Cyberinfrastructure (OAC). See this recent NSF Dear Colleague Letter for additional information.
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Funding Opportunities for Big Data
* Indicates a funding announcement that was updated or added to the newsletter this month.
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Social Science
(Computer) Science and Engineering
Biomedical Science
Education and Training
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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, such as HUD's data infrastructure, that the Roadmap Update identifies as part of HUD's comparative advantage.
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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.
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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.
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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.
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Office of Digital Humanities (ODH)
Digital Humanities Advancement Grants (DHAG)
Sponsor Deadline: January 15, 2020; June 30, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Level I awards will be made up to $50,000; Level II awards up to $100,000; and Level III awards up to $325,000, with an additional $50,000 in matching funds. The maximum period of performance for Level I and II awards is 24 months, and for Level III awards is 36 months. NEH anticipates making 25-35 new awards in FY20.
Digital Humanities Advancement Grants (DHAG) support innovative, experimental, and/or computationally challenging projects at different stages throughout their lifecycles, from early start-up phases through implementation and sustainability. Experimentation, reuse, and extensibility are hallmarks of this program, leading to innovative work that can scale to enhance scholarly research, teaching, and public programming in the humanities. This program is offered twice per year. Proposals are welcome for digital initiatives in any area of the humanities. The Institute of Museum and Library Services (IMLS) also anticipates providing funding through this program to advance digital infrastructures and initiatives in libraries and archives.
Awards are available at three funding levels to support early-stage planning, development, and implementation:
- Level I awards are small grants designed to fund exploratory sessions, workshops, early alpha-level prototypes, and initial planning.
- Level II awards are intended to support projects that have completed an initial planning phase. Level II proposals should include a well-defined plan of work leading to concrete and tangible outcomes, such as working prototypes or code, sample data sets or models, methodological workflows, and/or documentation.
- Level III awards support scaling-up and expansion of established projects.
Applicants may submit a proposal draft to NEH by December 4, 2019, for review and feedback.
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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
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Directorate for Social, Behavioral and Economic Sciences (SBE)
Ethical and Responsible Research (ER2)
Harvard Pre-Proposal Deadline: December 2, 2019
Sponsor Deadline (if nominated): February 24, 2020
FAS/SEAS/OSP Deadline: February 13, 2020
Award Information: $600,000 maximum (including indirect costs) for 5-year awards and $400,000 maximum (including indirect costs) for 3-year awards. The average award is $275,000. ER2 conference support is typically around $30,000 in direct costs. ER2 Project Incubation Grant support is typically around $60,000 in direct costs.
Ethical and Responsible Research (ER2) funds research projects that identify (1) factors that are effective in the formation of ethical STEM researchers and (2) approaches to developing those factors in all STEM fields that NSF supports.
ER2 research projects will use basic research to produce knowledge about what constitutes or promotes responsible or irresponsible conduct of research, and how to best instill this knowledge into researchers and educators at all career stages. In some cases, projects will include the development of interventions to ensure ethical and responsible research conduct. One particular area of interest to NSF is:
What ethics related issues arise in data intensive (e.g., big data) approaches?
The following types of proposals will be funded:
- Standard Research Grants
- Institutional Transformation Research Grants
- Conference Proposals
- Project Incubation Proposals
Please note that this is a limited submission opportunity and Harvard University may put forward only one proposal. Applicants for the Harvard nomination must submit a pre-proposal to an internal competition administered by the Office of the Vice Provost of Research (OVPR) at the link above.
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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:
- 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.
- 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.
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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.
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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.
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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
CAREER,
ADVANCE, and Ethical and Responsible Research. Investigators may also wish to view the
SBE Office of Multidisciplinary Activities (SMA) web site for additional funding opportunities.
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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?
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| (Computer) Science & Engineering |
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.
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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).
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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.
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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.
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National Oceanic and Atmospheric Administration (NOAA), National Weather Service (NWS), Office of Science and Technology Integration (OSTI)
NWS Office of Science and Technology Integration: Unified Forecast System
Sponsor Deadline for Letters of Intent (strongly encouraged): December 6, 2019
Sponsor Deadline for Full Proposals: February 7, 2020
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards are expected to range from $100,000-$250,000 per year with a maximum funding request of 2 years. 12-15 awards are anticipated.
NOAA's National Weather Service (NWS) Office of Science and Technology Integration (OSTI) is soliciting research proposals to support NOAA's development of the community-based, coupled, comprehensive earth modeling system, the Unified Forecast System (UFS). The UFS is designed to provide more accurate forecast guidance through operational numerical weather prediction applications. These applications span local and global domains, and predictive time scales from sub-hourly to seasonal.
There are three competitions for projects that will advance development of the UFS:
- Next Generation Global Prediction System (NGGPS) - Research projects to advance NGGPS will propose accelerating development of improved global weather prediction models; coupling among atmosphere, ocean, land surface and ice system model components; improving data assimilation techniques; improving ensemble techniques; developing post-processing forecast tools and techniques; or improving software architecture, computational performance and system engineering.
- Weeks 3-4 Program - Proposals pertaining to the advancement of the Weeks 3-4 program will focus on the development of a coupled UFS system including data assimilation approaches, extending the forecast of the UFS from 3 weeks to seasonal timescales, and developing metrics including validation and verification.
- Hurricane Forecast Improvement Program (HFIP) - Proposals for the HFIP initiative will relate to research required to improve operational tropical cyclone forecasting to meet societal requirements to effectively mitigate economic disruption.
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United States Department of Defense (DoD)
Air Force Office of Scientific Research (AFOSR)
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.
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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.
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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:
- 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.
- 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.
- 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.
- 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.
- 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.
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Defense Advanced Research Projects Agency (DARPA)
Artificial Intelligence Exploration (AIE) Opportunity: Hyper-Dimensional Data Enabled Neural Networks (HyDDENN)
Sponsor Deadline: December 11, 2019
FAS/SEAS/OSP Deadline: December 4, 2019
Award Information:
The Phase 1 (base, Feasibility Study, 6 months) award value should not exceed $300,000. The Phase 2 (option, Proof of Concept, 12 months) award value should not exceed $700,000.
The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) Opportunity, inviting submissions of innovative basic or applied research concepts in the technical domain of automated knowledge discovery, curation, and application. The HyDDENN program seeks new data enabled neural network (NN) architectures to break the reliance on large MAC-based DNNs. HyDDENN will explore and develop innovative data representations with shallow NN architectures based on efficient, non-MAC, digital compute primitives to enable highly accurate and energy efficient AI for DoD edge systems.
All proposals in response to this AIE Opportunity will be submitted to
DARPA-PA-19-03-03
.
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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.
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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.
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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.
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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
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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 as follows: 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.
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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.
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Office of Science (SC)
FY 2020 Continuation of Solicitation for the Office of Science Financial Assistance Program
Sponsor Deadline:
Rolling (current solicitation is active until
September 30, 2020
or until superseded)
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: Awards in FY17 ranged from $5,000/year to $5M/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 FY20. 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 sophisticated 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 and engineering, 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:
- 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.
- 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.
- Advance key areas of computational science and discovery that support the missions of the Office of Science through mutually beneficial partnerships.
- 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.
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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:
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.
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Artificial Intelligence for Species Discovery
Sponsor Deadline: January 15, 2020
FAS/SEAS/OSP Deadline: January 8, 2020
Award Information
: $5,000-$100,000 for 1 year.
In addition to financial support, successful proposals will receive free access to Microsoft's AI for Earth API's, applications, tools, and tutorials, and support for their computational work on Microsoft Azure. Requests for total budgets of at least $50,000 may designate up to 15% as overhead. Overhead may not be included for any proposals requesting less than $50,000. Since t
his amount falls short of the 15% required by FAS/SEAS policy, please discuss with your grants administrator before preparing an application.
National Geographic seeks to support the use of artificial intelligence (AI) and machine learning to help transform the discovery of new species by collecting and analyzing more precise data, producing faster and more meaningful insights, and accelerating promising solutions.
The National Geographic Society and Microsoft's AI for Earth program are partnering to support the exploration of how AI can help us discover, identify, and classify new species.
The Artificial Intelligence for Species Discovery RFP will provide support to projects that accelerate discovery, monitoring, and modeling, and ultimately improve the management of Earth's biodiversity for a more sustainable future. The grants will support the creation and deployment of open source trained models, algorithms, and datasets to support species discovery. National Geographic suggests that applicants consider aligning with a research group to address a biodiversity question. Proposals from all over the world, for work in any biome, are welcome. PIs who are not from the country where they will be working should include at least one local partner on their teams, and clearly identify their role on the project. Local partners should be integral members of the team who are truly involved in the proposed work.
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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
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National Science Foundation (NSF)*
Directorate for Computer & Information Science & Engineering (CISE)
Campus Cyberinfrastructure (CC*)
Sponsor Deadline: January 21, 2020
FAS/SEAS/OSP Deadline: January 13, 2020
Award Information
:
Varies by program (see below for details).
Approximately $14M-$20M will be made available in FY20 to support 29-53 awards.
The Campus Cyberinfrastructure (CC*) program invests in coordinated campus-level networking and cyberinfrastructure improvements, innovation, integration, and engineering for science applications and distributed research projects. Learning and workforce development (LWD) in cyberinfrastructure is explicitly addressed in the program. Science-driven requirements are the primary motivation for any proposed activity.
NSF will make awards in the following program areas:
- Data-Driven Networking Infrastructure for the Campus and Researcher awards will be supported at up to $500,000 total for up to 2 years;
- Regional Connectivity for Small Institutions of Higher Education awards will be supported at up to $800,000 total for up to 2 years;
- Network Integration and Applied Innovation awards will be supported at up to $1,000,000;
- Campus Computing and the Computing Continuum awards will be supported at up to $400,000 total for up to 2 years;
- Cyber Team-Research and Education CI-based Regional Facilitation awards will be supported at up to $1,400,000 total for up to 3 years; and,
- Planning Grants and CI-Research Alignment awards will be supported for up to $250,000 total for up to 2 years.
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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.
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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.
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Directorate for Computer & Information Science & Engineering (CISE)
Cyberinfrastructure Centers of Excellence (CI CoE)
Sponsor Deadline: Rolling
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information: The level of support for CI CoE projects is expected to vary, based on the topic and range of activities proposed. CI CoEs are typically expected to operate for five years.
The NSF Cyberinfrastructure Centers of Excellence (CI CoE) Program aims to support hubs of expertise and innovation targeting specific areas, aspects, or stakeholder communities of the research CI ecosystem. Supported CI CoEs provide expertise and services related to CI technologies and solutions; gather, develop, and communicate community best practices; and serve as readily-available resources for both the research community and the CI community. A key objective of this program is to support CI CoEs that drive advancements in and positively impact the CI ecosystem through structured but strongly community-engaging and community-serving approaches. Overall, CI CoEs are a means of concentrating resources on a specific area of identified need in support of the broader goal of advancing capabilities and performance of the national CI ecosystem.
NSF may initially invest in two-year pilot CI CoE projects which aim to develop concepts and plans and demonstrate feasibility through pilot activities as preparatory precursors to eventual proposals for establishing full-scale CI CoEs.
Individuals interested in submitting a proposal for a CI CoE project must first discuss their project idea with the cognizant CI CoE Program Director(s) in the relevant areas prior to submission.
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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).
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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.
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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.
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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) proposals - The 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.
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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.
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.
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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.
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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.
The Directorate for Mathematical and Physical Sciences (MPS) has issued a
Dear Colleague Letter (NSF 20-017)
describing opportunities for MPS researchers to participate in the National AI Research Institutes program.
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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.
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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.
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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.
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Understanding the Rules of Life: Epigenetics
Sponsor Deadline for Letters of Intent (required): December 20, 2019
Sponsor Deadline for Full Proposals: February 6, 2020
FAS/SEAS/OSP Deadline: January 30, 2020
Award Information: Track 1 awards will be made for projects with a total budget of up to $500,000 and an award duration of up to 3 years. Track 2 awards are available for projects with a total budget of up to $3M and award duration of up to 5 years. 5-10 awards are anticipated.
The purpose of the Understanding the Rules of Life: Epigenetics (URoL:Epigenetics) program is to enable innovative research and to promote multidisciplinary education and workforce training in the broad area of epigenetics. The URoL:Epigenetics program is a wide collaboration across Directorates/Offices within the National Science Foundation with a focus on understanding the relationship between epigenetic mechanisms associated with environmental change, organismal phenotype, and resultant robustness and adaptability of organisms and populations.
Successful projects of the URoL:Epigenetics Program are expected to use complementary, interdisciplinary approaches to investigate how epigenetic phenomena lead to emergent properties that explain the fundamental behavior of living systems. Ultimately, successful projects should identify general principles ("rules") that underlie biological phenomena within or across scales of size, complexity (e.g., molecular, cellular, organismal, population) and time (from sub-second to geologic) in taxa from anywhere within the tree of life, including humans. URoL:Epigenetics projects must integrate perspectives and research approaches from more than one research discipline (e.g., biology, chemistry, computer science, engineering, geology, mathematics, physics, social and behavioral sciences).
The program's required interdisciplinary focus presents excellent opportunities for the exploration of novel experimental and comparative approaches, leveraging existing large data sets, predictive modeling, new mathematical, computational and data science approaches, and for integrated multi-disciplinary education and outreach activities.
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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.
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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.
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National Center for Emerging and Zoonotic Infectious Diseases Extramural Research Program Office
Modeling Infectious Diseases in Healthcare Research Projects to Improve Prevention Research and Healthcare Delivery (MInD Healthcare)
Sponsor Deadline for Letters of Intent (requested):
December 18, 2019
Sponsor Deadline for Full Proposals: February 18, 2020
FAS/SEAS/OSP Deadline: February 10, 2020
Award Information: The estimated total funding available, including direct and indirect costs, for the entire 5-year project period is $11M to $13M. It is anticipated that up to 4 awards will be made.
The purpose of this Notice of Funding Opportunity (NOFO) is to support innovative research to develop and apply computational tools and mathematical methods for: 1) modeling the spread of pathogens that cause healthcare-associated infections (HAIs) and related antimicrobial resistant (AR) infections; 2) predicting outbreaks of HAI pathogens and trends in the burden of antimicrobial resistant and susceptible HAIs; and 3) investigating the effectiveness of intervention strategies. The models should be developed with the intent that they will be tools for researchers, policymakers, or public health workers who want to better understand and respond to HAIs in the United States. This NOFO will also create a network of leaders in the fields of HAI and AR modeling that will be a resource for informing the development of relevant evidence-based policy. MInD Healthcare will provide a network of leading modelers to respond to evolving public health needs and emergencies in healthcare settings.
Please note that organizations are limited to submitting one proposal in response to this Notice of Funding Opportunity. If you are interested in submitting a proposal, please contact Erin Hale in FAS Research Development at [email protected].
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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.
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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.
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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.
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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.
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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.
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Getting to Zero: Understanding HIV Viral Suppression and Transmission in the United States (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 Funding Opportunity Announcement is to support grants to improve understanding of viral suppression and HIV transmission in the United States using population-level epidemiology, novel tools from data science approaches and m/eHealth, and implementation science research. Data generated through this research will be used to inform and evaluate context-specific HIV control strategies towards the goal of ending the HIV epidemic in the U.S.
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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.
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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: 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 basic and/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.
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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.
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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 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.
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National Institute on Aging (NIA)
Translational Bioinformatics Approaches to Advance Drug Repositioning and Combination Therapy Development for Alzheimer's Disease (R01)
Sponsor Deadline:
February 5, 2020
FAS/SEAS/OSP Deadline: January 29, 2020
Award Information: Annual direct costs are capped at $500,000. The maximum project period is 5 years.
This funding opportunity invites applications that integrate the use of computational approaches to identify individual drugs currently used for other conditions with potential to be efficacious in AD or AD-related dementias (as single drugs or as drug combinations) with proof-of-concept efficacy studies in cell-based models, animal models and/or humans.
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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.
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National Institute of Neurological Disorders and Stroke (NINDS)
Data Harmonization, Curation and Secondary Analysis of Existing Clinical Datasets (R61/R33 Clinical Trial Not Allowed)
Sponsor Deadline:
March 17, 2020
FAS/SEAS/OSP Deadline: March 10, 2020
Award Information: Application budgets are not limited. The maximum period of the combined R61 and R33 phases is 5 years, with up to 2 years for the R61 phase and up to 3 years for the R33 phase. Transition to the R33 phase is dependent on successful completion of Go/No-Go Criteria. NINDS intends to commit a total of $1.5M in FY 2020 to fund 2-3 awards.
This RFA invites applications from multidisciplinary teams to perform secondary data analysis, using existing datasets from two or more multi-site clinical research projects, including clinical trials, natural history studies, and/or comparative effectiveness research. Secondary analyses should address scientific and/or clinical hypotheses that can advance the understanding or care of neurological disorders and conditions within the NINDS mission. In this phased funding mechanism, applications are required to systematically and comprehensively perform cross-project data harmonization and curation, assessed using go/no-go data-quality metrics, prior to funding of the second phase of analyses. Consistent with the FAIR (findable, accessible, interoperable and reusable) data principles, this funding opportunity expects open-source cataloging of the processes and tools used for harmonization, curation, and analysis, as well as controlled access to the curated datasets.
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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.
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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 [email protected].
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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.
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Pilot Projects Enhancing Utility and Usage of Common Fund Data Sets (R03 Clinical Trial Not Allowed)
Sponsor Deadline for Letters of Intent (requested): January 19, 2020
Sponsor Deadline for Full Proposals: February 19, 2020
FAS/SEAS/OSP Deadline: February 11, 2020
Award Information: Application budgets are limited to $200,000 in direct costs (excluding subcontract F&A) for up to one year. The NIH Common Fund intends to commit approximately $2M to fund 5-8 awards
in FY 2020.
Several valuable and widely available data sets have been generated by multiple Common Fund programs. The purpose of this funding opportunity announcement (FOA) is to announce the availability of funding to demonstrate and enhance the utility of selected
Common Fund
data sets, including generating hypotheses and catalyzing discoveries. Award recipients are also asked to provide feedback on the utility of the Common Fund data resources.
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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.
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National Institutes of Health (NIH)
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.
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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.
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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.
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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.
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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.
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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.
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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.
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Initiative to Maximize Research Education in Genomics: Diversity Action Plan (R25)
Sponsor Deadline for Letters of Intent (requested):
30 days prior to full proposal deadline
Sponsor Deadlines: January 25, 2020; January 25, 2021; January 25, 2022
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information:
Application budgets are limited to $300,000 in direct costs per year. The total project period may not exceed 5 years.
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The overarching goal of this NHGRI Diversity Action Plan (DAP) R25 program is to support educational activities that
enhance the diversity of the biomedical, behavioral, social and clinical research workforce in genomics. This funding opportunity announcement seeks to expose students at the undergraduate, post-baccalaureate and graduate levels who are from diverse backgrounds, including those from underrepresented groups, to the foundational sciences relevant to genomics to enable them to pursue careers that span all areas of interest to NHGRI - genome sciences, genomic medicine and genomics and society. For the purposes of this FOA, the term "genomics" encompasses issues and activities in these three areas.
To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Research Experiences during either the summer or academic year. The research experiences must be based on the foundational sciences relevant to genomics: genomic sciences (e.g. technology development, data science); genomic medicine (e.g. epidemiology, pharmacogenomics, clinical implementation); and genomics and society (e.g. bioethics, social and behavioral sciences, law, the humanities). A secondary focus is on Courses for Skills Development. Complementary didactic activities are encouraged, especially those academic courses that have the potential to increase opportunities for success at the next career level. The proposed research education programs must include both courses for skills development and research experiences with primary emphasis on research experiences. Proposed courses should be developed in conjunction with and support research experiences to enhance skills development.
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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.
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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.
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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.
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Directorate for Computer & Information Science & Engineering (CISE)
Dear Colleague Letter: Research Experiences for Undergraduates (REU) and Research Experiences for Teachers (RET) Supplemental Funding in Computer and Information Science and Engineering
Sponsor Deadline: Rolling (though
CISE strongly encourages the submission of requests before March 30, 2020; the potential for funding requests after this date may be limited)
FAS/SEAS/OSP Deadline: 5 business days prior to submission
Award Information
:
CISE provides up to $8,000 per student per year through an REU supplement, and
up to $10,000 per K-12 STEM teacher per year through a RET supplement.
NSF's CISE Directorate invites grantees with active CISE awards to submit requests for Research Experiences for Undergraduates (REU) Supplements, following the guidelines in the REU Sites and Supplements solicitation (
NSF 19-582
).
REU supplements help undergraduate students engage in meaningful research experiences in pursuit of their educational and career goals. To be eligible for this opportunity, a student must be a US citizen or permanent resident of the US. CISE encourages submission of REU supplemental funding requests that specifically afford US veterans an opportunity to engage in meaningful research experiences.
CISE also invites grantees with active CISE awards to submit requests for Research Experiences for Teachers (RET) Supplements, following the guidelines in the RET in Engineering and Computer Science: Supplements and Sites solicitation (
NSF 17-575
).
RET supplements help K-12 science, technology, engineering, and mathematics (STEM) teachers engage in meaningful research experiences and translate the knowledge gained into their teaching practices. The focus of their research should be in CISE disciplines rather than on education or curriculum development. Teachers who receive funding from an RET supplement must be currently teaching a STEM subject at their schools. CISE is particularly interested in RET supplements that target K-12 computer science teachers. Since a major goal of a RET activity is to create a bond between the K-12 schools and the host college or university, recruitment of RET teachers should focus on schools or school districts reasonably close to the host institutions.
For single-investigator projects, CISE REU and RET supplemental funding requests should typically be for no more than two students or two teachers, respectively, for one year. Research teams funded through multi-investigator projects may request support for a larger number of students or teachers, commensurate with the size and nature of their projects.
REU supplemental funding can be used any time of the year, while RET supplements should be used only for summer programs.
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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.
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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.
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Questions about this newsletter or proposal submission may be directed to:
Jennifer Corby
Research Development Officer
To see previous Big Data Funding Newsletters, please visit our
email archive
.
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