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Agency:
National Science Foundation
Funding Locator:
PD 18-1998
Description:

A well-prepared, innovative science, technology, engineering, and mathematics (STEM) workforce is crucial to the Nation’s prosperity and security. Future generations of STEM professionals are a key sector of this workforce, especially in the critical scientific areas described in the Big Ideas for Future NSF Investments. To accelerate progress in these areas, the next generation of STEM professionals will need to master new knowledge and skills, collaborate across disciplines, and shape the future of the human-technology interface in the workplace. As a result, NSF recognizes the need to support development of and research on effective educational approaches that can position the future STEM workforce to make bold advances in these Big Ideas.

In response to this need, the NSF’s Education and Human Resources Directorate seeks to invest in projects that can educate the STEM workforce to advance discovery in the six research Big Ideas:  Harnessing the Data Revolution; The Future of Work; Navigating the New Arctic; Multi-messenger Astrophysics; The Quantum Leap; and Understanding the Rules of Life. In addition to developing and implementing novel educational and/or training programs, these projects should simultaneously generate new knowledge about effective STEM education, by studying such programs and exploring related issues.

Deadline(s):

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Agency:
National Science Foundation
Funding Locator:
PD 17-7479
Description:

The BMMB Program supports fundamental research in biomechanics and mechanobiology. An emphasis is placed on multiscale mechanics approaches in the study of organisms that integrate across molecular, cell, tissue, and organ domains. The influence of in vivo mechanical forces on cell and matrix biology in the histomorphogenesis, maintenance, regeneration, and aging of tissues is an important concern. In addition, the relationships between mechanical behavior and extracellular matrix composition and organization are of interest. Funded projects may include theoretical, computational, and experimental approaches. The program encourages the consideration of diverse living tissues as smart materials that are self-designing.

Deadline(s):

January 10th – 24th 2018 and Sept. 1st – 15th 2018, annually thereafter

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Agency:
National Cancer Institute
Funding Locator:
PAR-16-256 (R01), PAR-16-255 (R21)
Description:

This Funding Opportunity Announcement (FOA) invites applications that seek to integrate two or more independent data sets to answer novel cancer control and prevention questions.  The goal is to encourage applications that incorporate Integrative Data Analysis (IDA) methods to study behavioral risk factors for cancer, including tobacco use, sedentary behavior, poor weight management, and lack of medical adherence to screening and vaccine uptake. It is encouraged that the data being merged are from different sources and types (including both quantitative and qualitative; data may span different levels such as genetic and environmental) and include at least one source of behavioral data.  Importantly, to be considered for funding, applicants must use existing data sources rather than collect new data.  In addition, creating harmonized measures, developing culturally sensitive measures, replicating results and cross-study comparisons is encouraged.

Deadline(s):

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Agency:
National Science Foundation
Funding Locator:
PD 17-581
Description:

The CISE Research Infrastructure (CRI) program drives discovery and learning in the core CISE disciplines of the three participating CISE divisions by supporting the creation and enhancement of world-class research infrastructure that will support focused research agendas in computer and information science and engineering. This infrastructure will enable CISE researchers to advance the frontiers of CISE research. Further, through the CRI program CISE seeks to ensure that individuals from a diverse range of academic institutions, including minority-serving and predominantly undergraduate institutions, have access to such infrastructure.

The CRI program supports two classes of awards:

  • Institutional Infrastructure (II) awards support the creation of new (II-NEW) CISE research infrastructure or the enhancement (II-EN) of existing CISE research infrastructure to enable world-class CISE research opportunities at the awardee and collaborating institutions.
  • Community Infrastructure (CI) awards support the planning (CI-P) for new CISE community research infrastructure, the creation of new (CI-NEW) CISE research infrastructure, the enhancement (CI-EN) of existing CISE infrastructure, or the sustainment (CI-SUSTAIN) of existing CISE community infrastructure to enable world-class CISE research opportunities for broad-based communities of CISE researchers that extend well beyond the awardee institutions. Each CI award may support the operation of such infrastructure, ensuring that the awardee institution(s) is (are) well positioned to provide a high quality of service to CISE community researchers expected to use the infrastructure to realize their research goals.

 

Deadline(s):

Preliminary Proposal Deadline Date: November 10, 2015
Second Tuesday in November, Annually Thereafter
Full Proposal Deadline Date: January 20, 2016
Third Wednesday in January, Annually Thereafter

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Agency:
National Science Foundation
Funding Locator:
PD 18-7564
Description:

The Communications, Circuits, and Sensing-Systems (CCSS) Program is intended to spur visionary systems-oriented activities in collaborative, multidisciplinary, and integrative engineering research. CCSS supports systems research in hardware, signal processing techniques, and architectures to enable the next generation of cyber-physical systems (CPS) that leverage computation, communication, and algorithms integrated with physical domains. CCSS supports innovative research and integrated educational activities in micro- and nano- electromechanical systems (MEMS/NEMS), communications and sensing systems, and cyber-physical systems. The goal is to design, develop, and implement new complex and hybrid systems at all scales, including nano and macro, that lead to innovative engineering principles and solutions for a variety of application domains including, but not limited to, healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent transportation, manufacturing, energy, and smart buildings. CCSS also supports integration technologies at both intra- and inter- chip levels, new and advanced radio frequency (RF), millimeter wave and optical wireless and hybrid communications systems architectures, and sensing and imaging at terahertz (THz) frequencies.

Proposals for the CCSS program may involve collaborative research to capture the breadth of expertise needed for such multidisciplinary integrative activities. ECCS will consider supporting a limited number of small team proposals of three or more Investigators from different disciplines and/or universities.

Deadline(s):

Full Proposal Window: October 1 – November 1, Annually
Supplement Deadline Date: April 1
REU/RET Supplements
April 1, Annually Thereafter

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Agency:
National Science Foundation
Funding Locator:
PD 12-8084
Description:

Advanced computational infrastructure and the ability to perform large-scale simulations and accumulate massive amounts of data have revolutionized scientific and engineering disciplines. 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.

Deadline(s):

Various dependent upon division.  See full announcement.

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Agency:
National Science Foundation
Funding Locator:
PD 18-8069
Description:

The CDS&E-MSS program accepts proposals that confront and embrace the host of mathematical and statistical challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical theories and tools that will be essential for addressing such issues. To this end, the program will support fundamental research in mathematics and statistics whose primary emphasis will be on meeting the aforementioned computational and data-related challenges. This program is part of the wider Computational and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that seeks to address this emerging discipline.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges.  Proposals of interest to the program will include a Principal Investigator or co-Principal Investigator who is a researcher in the mathematical or statistical sciences in an area supported by the Division of Mathematical Sciences.  The program encourages submission of proposals that include multidisciplinary collaborations or the training of mathematicians and statisticians in CDS&E.

Deadline(s):

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Agency:
National Science Foundation
Funding Locator:
PD 16-1271
Description:

Supports mathematical research in areas of science where computation plays a central and essential role, emphasizing analysis, development and implementation of numerical methods and algorithms, and symbolic methods.  The prominence of computation with analysis and ultimate implementation efficiency of the computational methods in the research is a hallmark of the program.  Proposals ranging from single-investigator projects that develop and analyze innovative computational methods to interdisciplinary team projects that not only create and analyze new mathematical and computational techniques but also use/implement them to model, study, and solve important application problems are strongly encouraged.

Deadline(s):

Full Proposal Window: November 16, 2018 – December 1, 2018
November 16 – December 1, Annually Thereafter

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Agency:
National Science Foundation
Funding Locator:
NSF 18-554
Description:

This solicitation encourages potentially transformative proposals in any area of CISE research from PIs who are in their first academic position post-PhD. The goal is for the PI to achieve research independence early in his or her career. (See Section IV: Additional Eligibility Information later in this document.)

The CISE Research Initiation Initiative (CRII) is part of CISE’s strategy to increase its investments in the development and growth of the research capabilities of future generations of computer and information scientists and engineers, including computational and data scientists and engineers. This solicitation provides the opportunity for early-career researchers to recruit and mentor their first graduate students (or undergraduate students, in the case of faculty at undergraduate and two-year institutions), which is one critical step in a career pathway that is expected to lead to research independence and a subsequent stream of projects, discoveries, students and publications.

Deadline(s):

Full Proposal Deadline: August 8, 2018, then the second Wednesday in August, Annually Thereafter.
(due by 5 p.m. submitter’s local time)

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Agency:
National Science Foundation
Funding Locator:
PD 17-7569
Description:

The Dynamics, Control and Systems Diagnostics (DCSD) program supports fundamental research on the analysis, measurement, monitoring and control of dynamic systems. The program promotes innovation in the following areas:

  • Modeling: creation of new mathematical frameworks to apply tools of dynamics to physical systems
  • Analysis: discovery and exploration of structure in dynamic behavior
  • Diagnostics: dynamic methods that infer system properties from observations
  • Control: methods that produce desired dynamic behavior

Proposals submitted to the DCSD program should clearly identify, articulate and motivate innovative components in one or more of the foundational areas above.

Furthermore, proposals should be aligned with the disciplinary thrusts of the CMMI division. To ensure that a project is appropriate for the DCSD program, PIs are very strongly encouraged to contact DCSD Program Directors prior to the full submission.

Innovative research that primarily concerns electromagnetic or chemical phenomena should be directed to the ECCS or CBET divisions. The DCSD Program does not fund fundamental research relating to sensing modalities or sensor development. Proposals offering fundamental research on sensing modalities should be submitted to the Communications, Circuits and Sensing Systems (CCSS) program or the Electronics, Photonics, and Magnetic Devices (EPMD) program in the ECCS Division.

Deadline(s):

January 10th – 24th 2018, annually thereafter

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Agency:
Google
Funding Locator:
Description:

Providing unrestricted gifts as support for research at institutions around the world. The program is focused on funding world-class technical research in Computer Science, Engineering, and related fields.

At Google, we are committed to developing new technologies to help our users find and use information. While we do significant in-house research and engineering, we also maintain strong ties with academic institutions worldwide pursuing innovative research in core areas relevant to our products and services. As part of that vision, the Google Faculty Research Awards Program aims to recognize and support world-class, permanent faculty pursuing cutting-edge research in areas of mutual interest.

Our goal is to identify and strengthen long-term collaborative relationships with faculty working on problems that will impact how future generations use technology. Google Faculty Research Awards are structured as seed funding (up to $150,000 USD) to support one graduate student for one year and are awarded as an unrestricted gift. The award is highly competitive – only 15% of applicants receive funding – and each proposal goes through a rigorous Google-wide review process.

Deadline(s):

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Agency:
National Institutes of Health
Funding Locator:
PA 15-273
Description:

The purpose of this Funding Opportunity Announcement (FOA) is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). These approaches should include projects to assemble big data sources, conduct robust and reproducible analyses, and create meaningful visualization of big data.

Deadline(s):

February 5, June 5, & October 5, Annually

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Agency:
National Science Foundation
Funding Locator:
PD 18-533
Description:

The complexities of brain and behavior pose fundamental questions in many areas of science and engineering, drawing intense interest across a broad spectrum of disciplinary perspectives while eluding explanation by any one of them. Rapid advances within and across disciplines are leading to an increasingly interwoven fabric of theories, models, empirical methods and findings, and educational approaches, opening new opportunities to understand complex aspects of neural and cognitive systems through integrative multidisciplinary approaches.

This program calls for innovative, convergent, boundary-crossing proposals that can best capture those opportunities 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. This cross-directorate program is one element of NSF’s broader effort directed at Understanding the Brain, a multi-year activity that includes NSF’s participation in the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative (http://www.nsf.gov/brain/). NSF envisions a connected portfolio of transformative, integrative projects that create synergistic links across investigators and communities, yielding novel ways of tackling the challenges of understanding the brain in action and in context.

Deadline(s):

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Agency:
National Institutes of Health
Funding Locator:
PA 17-289
Description:

The goal of this Funding Opportunity Announcement (FOA) is to efficiently use the existing cancer registry infrastructure by augmenting data already collected by the registries with additional information needed to understand health disparities among people diagnosed with cancer. Specifically, this FOA will support the study of factors influencing observed health disparities within the framework of population-based cancer registries by the inclusion of data not routinely collected by or linked to the registries. The studies should be hypothesis-driven and multidisciplinary approaches are encouraged. Investigators can leverage the data already collected by the registries to investigate the determinates of health disparities. The goal of these analyses will be to understand why disparities in cancer treatment and outcomes persist by identifying factors contributing to disparities and their relative importance.

Cancer registries represent a sampling frame of cancer patients that contains considerable information for investigating the factors that contribute to health disparities in the United States (US) population. This registry information includes characteristics of the cancer at diagnosis, information about the patient (e.g., demographic factors), treatments received, and mortality outcomes. Awards made and projects conducted through this FOA would leverage existing data collected by registries to support hypothesis-driven studies that include a targeted sample of cases. Registry data would be augmented to include information not routinely collected within the cancer registries.

Deadline(s):

February 5, June 5, & October 5, Annually

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Agency:
National Institutes of Health
Funding Locator:
PAR 17-214
Description:

NIA intends to support studies most likely to meet a major goal of this FOA: to identify and confirm a full set of rare variants contributing to AD phenotypes to enhance the probability of identifying potential therapeutic approaches for risk and prevention. Successful applications are anticipated to involve research conducted by multidisciplinary teams of investigators, and should describe a comprehensive plan to develop leading-edge innovative approaches for the analysis of Whole Genome Sequence (WGS) data. Analysis should encompass the criteria set out by the ADSP Replication Work group for selection of samples under PAR 16-406. In particular, these criteria include racial/ethnic diversity; autopsy-confirmed cases/controls, especially for non-European ancestry; availability of longitudinal data; no age limit for cases; cases unrelated to each other; and availability of comparable controls.

The proposed study should describe a comprehensive plan for the analysis of WGS data to extend previous discoveries that may ultimately result in new directions for AD therapeutics. Both fundamental scientific discovery and leading-edge analytical approaches will likely be needed to achieve the research goals. The study is anticipated to involve research conducted by multidisciplinary teams of investigators including a variety of sequencing centers, geneticists, and statisticians. Funds for computer software and hardware, for bioinformatics and statistical analysis, and for the personnel needed to conduct the analyses will be provided.

Deadline(s):

February 5, June 5, & October 5, Annually

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Agency:
National Science Foundation
Funding Locator:
18-513
Description:

The Major Research Instrumentation Program (MRI) serves to increase access to shared scientific and engineering instruments for research and research training in our Nation’s institutions of higher education, not-for-profit museums, science centers and scientific/engineering research organizations. The program provides organizations with opportunities to acquire major instrumentation that supports the research and research training goals of the organization and that may be used by other researchers regionally or nationally.

 

Each MRI proposal may request support for the acquisition (Track 1) or development (Track 2) of a single research instrument for shared inter- and/or intra-organizational use.  Development efforts that leverage the strengths of private sector partners to build instrument development capacity at MRI submission-eligible organizations are encouraged.

 

The MRI program assists with the acquisition or development of a shared research instrument that is, in general, too costly and/or not appropriate for support through other NSF programs.  The program does not fund research projects or provide ongoing support for operating or maintaining facilities or centers.

 

The instrument acquired or developed is expected to be operational for regular research use by the end of the award period. For the purposes of the MRI program, a proposal must be for either acquisition (Track 1) or development (Track 2) of a single, well-integrated instrument. The MRI program does not support the acquisition or development of a suite of instruments to outfit research laboratories or facilities, or that can be used to conduct independent research activities simultaneously.

 

Instrument acquisition or development proposals that request funds from NSF in the range $100,000-$4 million may be accepted from any MRI-eligible organization. Proposals that request funds from NSF less than $100,000 may also be accepted from any MRI-eligible organization for the disciplines of mathematics or social, behavioral and economic sciences and from non-Ph.D.-granting institutions of higher education for all NSF-supported disciplines.

 

Cost-sharing of precisely 30% of the total project cost is required for Ph.D.-granting institutions of higher education and for non-degree-granting organizations. Non-Ph.D.-granting institutions of higher education are exempt from cost-sharing and cannot include it. National Science Board policy is that voluntary committed cost sharing is prohibited.

Deadline(s):

Full Proposal Deadline(s) (due by 5 p.m. proposer’s local time):

January 29, 2018 – February 5, 2018
Second Wednesday in January, Annually Thereafter

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Agency:
National Science Foundation
Funding Locator:
PD 17-1630
Description:

The Mechanics of Materials and Structures program supports fundamental research in mechanics as related to the behavior of deformable solid materials and structures under internal and external actions. The program supports a diverse spectrum of research with emphasis on transformative advances in experimental, theoretical, and computational methods. Submitted proposals should clearly emphasize the contributions to the field of mechanics.

Proposals related to material response are welcome, including, but not limited to, advances in fundamental understanding of deformation, fracture, and fatigue as well as contact and friction. Proposals that relate to structural response are also welcome, including, but not limited to, advances in the understanding of nonlinear deformation, instability and collapse, and wave propagation. Proposals addressing mechanics at the intersection of materials and structures, such as, but not limited to, meta-materials, hierarchical, micro-architectured and low-dimensional materials are also encouraged.

Proposals that explore and build upon advanced computing techniques and tools to enable major advances in mechanics are particularly welcome. For example, proposals incorporating reduced-order modeling, data-driven techniques, and/or stochastic methods with a strong emphasis on validation are encouraged. Also welcome are proposals addressing data analytics for deformation or damage response deduction from large experimental and computational data sets. Similarly, proposals that explore new experimental techniques to capture deformation and failure information for extreme ranges of loading or material behavior are also encouraged. Finally, experimental and computational methods that address information across multiple length and time scales, potentially involving multiphysics considerations are also welcome.

Deadline(s):

January 10th – 24th 2018 and Sept. 1st – 15th 2018, annually thereafter

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Agency:
National Science Foundation
Funding Locator:
18-510
Description:

The goal of the RCN program is to advance a field or create new directions in research or education by supporting groups of investigators to communicate and coordinate their research, training and educational activities across disciplinary, organizational, geographic and international boundaries. RCN provides opportunities to foster new collaborations, including international partnerships, and address interdisciplinary topics. Innovative ideas for implementing novel networking strategies, collaborative technologies, and development of community standards for data and meta-data are especially encouraged. RCN awards are not meant to support existing networks; nor are they meant to support the activities of established collaborations. RCN awards do not support primary research. RCN supports the means by which investigators can share information and ideas, coordinate ongoing or planned research activities, foster synthesis and new collaborations, develop community standards, and in other ways advance science and education through communication and sharing of ideas.

Deadline(s):

Submission deadlines vary by program. RCN proposals should be submitted to a particular program according to the program’s submission dates; PIs should consult program websites and contact cognizant program officers for guidance.

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Agency:
Department of the Air Force
Funding Locator:
FA9550-18-S-0003
Description:

AFOSR plans, coordinates, and executes the Air Force Research Laboratory’s (AFRL) basic research program in response to technical guidance from AFRL and requirements of the Air Force; fosters, supports, and conducts research within Air Force, university, and industry laboratories; and ensures transition of research results to support U.S. Air Force needs.
The focus of AFOSR is on research areas that offer significant and comprehensive benefits to our national warfighting and peacekeeping capabilities. These areas are organized and managed in five scientific Departments: Dynamical Systems and Control (RTA), Quantum and Non-Equilibrium Processes (RTB), Information, Decision and Complex Networks (RTC), Complex Materials and Devices (RTD), and Energy, Power and Propulsion (RTE).

Deadline(s):

Open Until Superseded

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Agency:
National Science Foundation
Funding Locator:
18-517
Description:

As part of NSF’s Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, 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.

Deadline(s):

Full Proposal Deadline Date: February 28, 2018

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Agency:
National Institutes of Health
Funding Locator:
PA 17-239
Description:

This funding opportunity announcement (FOA) encourages applications that propose to conduct secondary data analysis and integration of existing datasets and database resources, with the ultimate aim to elucidate the genetic architecture of cancer risk and related outcomes. The goal of this initiative is to address key scientific questions relevant to cancer epidemiology by supporting the analysis of existing genetic or genomic datasets, possibly in combination with environmental, outcomes, behavioral, lifestyle, and molecular profiles data. Applications to this FOA are encouraged to leverage existing genetic data and perform innovative analyses of the existing data. Applications may include new research aims that are being addressed with existing data, new or advanced methods of analyses, or novel combinations and integration of datasets that allow the exploration of important scientific questions in cancer research.

Deadline(s):

February 5, June 5, & October 5, Annually

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Agency:
National Science Foundation
Funding Locator:
PD 18-541
Description:

The goal of the interagency Smart and Connected Health (SCH): Connecting Data, People and Systems program is to accelerate the development and integration of innovative computer and information science and engineering approaches to support the transformation of health and medicine. Approaches that partner technology-based solutions with biomedical and biobehavioral research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next-generation multidisciplinary science that encourages existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as networking, pervasive computing, advanced analytics, sensor integration, privacy and security, modeling of socio-behavioral and cognitive processes and system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, barriers to change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems and an aging population. Such solutions demand multidisciplinary teams ready to address issues ranging from fundamental science and engineering to medical and public health practice.

Deadline(s):

Full Proposal Deadline(s) (due by 5 p.m. proposer’s local time):

October 10, Annually Thereafter
Exploratory (EXP) Proposals

December 10, Annually Thereafter
Integrative (INT) Proposals

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Agency:
National Institutes of Health
Funding Locator:
PA 18-057
Description:

The purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction. NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records. Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research. The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.

Deadline(s):

February 5, June 5, & October 5, Annually

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