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Agency:
National Science Foundation
Funding Locator:
PD 17-17479
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 Science Foundation
Funding Locator:
PD 16-7564
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 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 17-552
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:
NSF 17-570
Description:

Limited submission – Computer systems support a broad range of applications and technologies that seamlessly integrate with human users. While many key building blocks of computer systems are today commercial technologies, the challenge ahead is to envision new technologies, as well as to combine existing technologies, software, and sensing systems into the computer systems of the future that will span wearable computing, the Internet of Things (IoT), “Smart Cities,” intelligent transportation systems, personalized healthcare, and beyond. Such computer systems will require new, innovative, and visionary approaches to hardware, wired and wireless communications, consideration of human-computer interactions, and new programming languages and compilers that are limited only by the imagination. They will need to be reliable in the presence of unreliable components, adaptive to changing environments, capable of supporting high-throughput applications and large-scale data storage and processing, and able to meet performance and energy objectives for applications ranging from very low-power embedded systems to large high-performance computing systems. Furthermore, computer systems of the future will need to provide mechanisms for ensuring security and privacy.

Deadline(s):

Submission Window Date(s) (due by 5 p.m. proposer’s local time):

January 2 – January 14, Annually
SMALL Projects

September 2 – September 19, Annually
MEDIUM Projects

November 4 – November 19, Annually
LARGE Projects

Proposers are invited to submit proposals in three project classes, which are defined as follows:
Small Projects – up to $500,000 total budget with durations up to three years;
Medium Projects – $500,001 to $1,200,000 total budget with durations up to four years; and
Large Projects – $1,200,001 to $3,000,000 total budget with durations up to five years.

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Agency:
National Institutes of Health
Funding Locator:
PAR 17-159
Description:

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.

Deadline(s):

Letter of Intent due Feb 16, 2018. Full proposal Mar 19, 2018

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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:
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:
17-572
Description:

CISE’s Division of Information and Intelligent Systems (IIS) supports research and education projects that develop new knowledge in three core programs: The Cyber-Human Systems (CHS) program; The Information Integration and Informatics (III) program; and The Robust Intelligence (RI) program.
Proposals in the area of computer graphics and visualization may be submitted to any of the three core programs described above.

Deadline(s):

Submission Window Date(s) (due by 5 p.m. proposer’s local time):

September 10, 2015 – September 16, 2015

September 10 – September 16, Annually Thereafter

MEDIUM Projects
September 18, 2015 – September 24, 2015

September 18 – September 24, Annually Thereafter

LARGE Projects
November 04, 2015 – November 18, 2015

November 4 – November 18, Annually Thereafter

SMALL Projects

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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):

Letter of Intent 45 days prior to full application due date.

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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:
BAA-AFOSR-2014-0001
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:
NSF 17-576
Description:

In today’s increasingly networked, distributed, and asynchronous world, cybersecurity involves hardware, software, networks, data, people, and integration with the physical world. However, society’s overwhelming reliance on this complex cyberspace has exposed its fragility and vulnerabilities: corporations, agencies, national infrastructure and individuals have been victims of cyber-attacks. Achieving a truly secure cyberspace requires addressing both challenging scientific and engineering problems involving many components of a system, and vulnerabilities that arise from human behaviors and choices. Examining the fundamentals of security and privacy as a multidisciplinary subject can lead to fundamentally new ways to design, build and operate cyber systems, protect existing infrastructure, and motivate and educate individuals about cybersecurity.

The goals of the Secure and Trustworthy Cyberspace (SaTC) program are aligned with the Federal Cybersecurity Research and Development Strategic Plan (RDSP) and the National Privacy Research Strategy (NPRS) to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy. The RDSP identified six areas critical to successful cybersecurity R&D: (1) scientific foundations; (2) risk management; (3) human aspects; (4) transitioning successful research into practice; (5) workforce development; and (6) enhancing the research infrastructure. The NPRS, which complements the RDSP, identifies a framework for privacy research, anchored in characterizing privacy expectations, understanding privacy violations, engineering privacy-protecting systems, and recovering from privacy violations. In alignment with the objectives in both strategic plans, the SaTC program takes an interdisciplinary, comprehensive and holistic approach to cybersecurity research, development, and education, and encourages the transition of promising research ideas into practice.

The SaTC program welcomes proposals that address cybersecurity and privacy, and draw on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both encouraged.

Deadline(s):

Submission Window Date(s) (due by 5 p.m. proposer’s local time):

December 4 – December 19, Annually Thereafter
CYBERSECURITY EDUCATION Projects

January 2 – January 14, Annually Thereafter
SMALL Projects

September 02 – September 21, 2018
September 2 – September 19, Annually Thereafter
MEDIUM Projects

November 04 – November 19, 2018
November 4 – November 19, Annually Thereafter
LARGE Projects

Proposals may be submitted in one of the following three categories (plus Cybersecurity Education; see below):

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
Large projects: $1,200,001 to $3,000,000 in total budget, with durations of up to five years
Cybersecurity Education: total budgets limited to $300,000 and durations of up to two years.

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Agency:
National Science Foundation
Funding Locator:
13-543
Description:

The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems. Such solutions demand multidisciplinary teams ready to address technical, behavioral and clinical issues ranging from fundamental science to clinical 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 16-119
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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