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The goal of a Bioengineering Research Partnership (BRP) is to drive the development and speed the adoption of promising tools and technologies that can address important biomedical problems for which insufficient or no solutions exist. The use of engineering principles is encouraged to establish these tools and technologies as robust, well-characterized solutions that fulfill an unmet need. A synergistic partnership between engineering and the life, physical, and computational sciences is also encouraged, where the unique skills of each discipline combine to enhance our understanding of life science processes or the practice of medicine.

The purpose of this FOA is to encourage BRP applications that: 1) establish a robust engineering solution to a problem in biomedical research or the practice of medicine; 2) develop a strategic alliance of multidisciplinary partners based on a well-defined leadership plan; and 3) realize a specific endpoint within 5-10 years based on a detailed plan with a timeline and quantitative milestones.

Deadlines vary by project type

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The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this R25 program is to support educational activities that foster a better understanding of biomedical, behavioral and clinical research and its implications.

To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on    research experiences for high school or undergraduate students or science teachers during the summer academic break.  The proposed program needs to fit within the mission of the participating IC that the application is being submitted to and should not have a general STEM focus.

Due dates vary by project type

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The Mid-scale Research Infrastructure-2 Program (Mid-scale RI-2) is aimed at transforming scientific and engineering research fields as well as science, technology, engineering and mathematics (STEM) education research fields by making available new capabilities, while simultaneously training early-career researchers in the development, design, and construction of cutting-edge infrastructure.

The Mid-scale RI-2 supports implementation of projects that comprise any combination of equipment, instrumentation, computational hardware and software, and the necessary commissioning and human capital in support of implementation of the same. The total cost for Mid-scale RI-2 projects ranges from $20 million to below the minimum award funded by the Major Research Equipment and Facilities Construction (MREFC) Program, currently $70 million. Mid-scale RI-2 projects will directly enable advances in any of the research domains supported by NSF, including STEM education. Projects may also include upgrades to existing research infrastructure.

Due Dates
Letter of Intent: Feb. 8, 2019
Preliminary Proposal: March 11, 2019
Full Proposal: Aug. 2, 2019

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The Future of Work at the Human-Technology Frontier (FW-HTF), one of the Big Ideas, is one mechanism by which NSF is responding to the challenges and opportunities for the future of jobs and work. The overarching vision is to support convergent research to understand and develop the human-technology partnership, design new technologies to augment human performance, illuminate the emerging socio-technological landscape, understand the risks and benefits of new technologies, understand and influence the impact of artificial intelligence on workers and work, and foster lifelong and pervasive learning.

The specific objectives of the Future of Work at the Human-Technology Frontier program are:

  1. to facilitate convergent research that employs the joint perspectives, methods, and knowledge of computer science, engineering, learning sciences, research on education and workforce training, and social, behavioral, and economic sciences;
  2. to encourage the development of a research community dedicated to designing intelligent technologies and work organization and modes inspired by their positive impact on individual workers, the work at hand, the way people learn and adapt to technological change, creative and supportive workplaces (including remote locations, homes, classrooms, or virtual spaces), and benefits for social, economic, and environmental systems at different scales;
  3. to promote deeper basic understanding of the interdependent human-technology partnership to advance societal needs by advancing design of intelligent work technologies that operate in harmony with human workers, including consideration of how adults learn the new skills needed to interact with these technologies in the workplace, and by enabling broad workforce participation, including improving accessibility for those challenged by physical or cognitive impairment; and
  4. to understand, anticipate, and explore ways of mitigating potential risks arising from future work at the human-technology frontier. Ultimately, this research will advance our understanding of how technology and people interact, distribute tasks, cooperate, and complement each other in different specific work contexts of significant societal importance. It will advance the knowledge base related to worker education and training and formal and informal learning to enable all potential workers to adapt to changing work environments. It will advance our understanding of the links between the future of work at the human-technology frontier and the surrounding society, including the intended potential of new technologies and the unintended consequences for workers and the well-being of society.

For the purposes of this solicitation, work is defined as mental or physical activity to achieve tangible benefit such as income, profit, or community welfare. The Future of Work at the Human-Technology Frontier is, in turn, a conceptualization of work in the future that will be enabled or improved by advances in intelligent technology and their synergistic integration with human skill to achieve broad participation in the workforce and improve the social, economic, and environmental well-being of society. To reach this goal, research is sought that is anchored in work. Proposals must clearly define the work and work context addressed by the research. Technology should be integrated with learning sciences, research on education and workforce training, and social, behavioral, and economic science perspectives to advance the science of the human-technology team. Potential results should contribute to fundamental advances in the science and technology of future workforce development and education, work environments, and positive work outcomes for workers and society at large. Proposals are encouraged that are oriented toward the future of work at the human-technology frontier and that are not overly couched in current technology or work practices.

A proposal for a research grant in this program must focus on advancing fundamental understanding of future work, and potential improvements to work, workplaces, workforce preparation, or work outcomes for workers and society. It must be convergent research that addresses the technological as well as the human and societal dimensions and potential impact of future work, and in doing so, make significant contributions to both intellectual merit and broader impact. Achieving this goal requires integration and convergence of disciplines across computer science, engineering, learning sciences, research on education and workforce training, and social, behavioral, and economic sciences. A convergent perspective is essential to understand and shape long-term social and economic drivers, so that advanced intelligent technology will strengthen the social fabric. A convergent perspective also provides insights into education and re-skilling, so that the benefits of emerging technology can be conferred upon all citizens.

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Have you ever wanted to influence and improve the effectiveness of geospatial data at the national level? Are you detail-oriented and committed to producing high-quality data products? Join us as we lead the development of new and improved national geospatial transportation products in the era of big data.

You will learn to create and curate geospatial datasets related to our Nation’s transportation systems that are used by government officials, researchers, and the American people. To achieve your learning objectives, you will have the opportunity to collaborate with those other U.S. Department of Transportation (DOT) offices and Federal agencies that help maintain geospatial data and analytical capabilities. Your learning opportunities will also include the ability to participate in inter-agency efforts relating to the development and improvement of geospatial data and analytical applications.

For a full description of this opportunity and to submit your application, visit https://www.zintellect.com/Opportunity/Details/DOT2018-06.  If you have any questions, please send an email to USDOT@orau.org.

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The NIH Small Research Grant Program supports small research projects that can be carried out in a short period of time with limited resources. This program supports different types of projects including pilot and feasibility studies; secondary analysis of existing data; small, self-contained research projects; development of research methodology; and development of new research technology. This Funding Opportunity Announcement does not accept applications proposing clinical trial(s). 

Deadlines vary by project type.

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The Bill & Melinda Gates Foundation Grand Challenges Explorations grant opportunities are still open for seven challenges under Round 22.

Grand Challenges Explorations is an initiative that awards initial grants of USD $100,000, and successful projects are eligible to receive follow-on funding of up to USD $1 million. Proposals are solicited twice a year for an expanding set of global health and development topics. Applications are only two pages, and no preliminary data is required. Applicants can be at any experience level; in any discipline; and from any organization, including colleges and universities, government laboratories, research institutions, non-profit organizations and for-profit companies. The next application round of Grand Challenges Explorations will be in February 2019.

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In 2017, NSF issued a Request for Information to gauge the existing and future needs for Mid-scale research infrastructure programs and received responses whose execution would require $8 billion to $10 billion in funding for projects in the $20 million to $100 million range.

In response, The National Science Foundation intends to announce two new Mid-scale Research Infrastructure opportunities in fall 2018: one to support projects with an approximate cost between $6 million and $20 million and the other to support projects with an approximate cost between $20 million and $70 million.

These forthcoming funding opportunities are intended to encompass research infrastructure broadly defined, from the creation of mid-scale disciplinary instrumentation to the implementation (including acquisition and construction) of mid-scale facilities, cyberinfrastructure and other infrastructure that are demonstrated to be necessary to support specific science, engineering or education research objectives associated with current or future NSF-supported research activities.  This portfolio may also include mid-scale upgrades to existing research infrastructure.

Contacts: For questions directly related to this program, please contact MSRI@nsf.gov. More information will be available once the solicitations for these programs are released.

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An REU activity may be funded as a standard or continuing grant (for REU Sites), as a supplement to an existing award, or as a component of a new or renewal grant or cooperative agreement. REU Sites and Supplements are funded by various disciplinary and education research programs throughout NSF, and the number of awards made varies across the Foundation from year to year, as does the amount of funds invested. In FY2013, NSF anticipates investing approximately $68.4 million (pending availability of funds) in approximately 180 new Site awards and 1,600 new Supplement awards.

Three years is the typical duration for REU Site awards in most NSF directorates; however, a duration of up to five years may be allowed in some cases. The typical REU Site hosts 8-10 students per year. The typical funding amount is $70,000-$120,000 per year, although NSF does not dictate a firm upper (or lower) limit for the amount, which depends on the number of students hosted and the number of weeks.

The stipend that is paid to REU student participants is not a salary or wage for work performed. It is a traineeship, a form of student aid (like a scholarship or fellowship) provided to support a student’s education/training in a STEM field. In this case, the student’s training consists of closely mentored independent research. For administrative convenience, organizations may choose to issue payments to REU students using their normal payroll system. The funds received by students may be taxable income under the Internal Revenue Code of 1986 and may also be subject to state or local taxes. 

Deadline: May 24, 2019

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Many programs within the NSF BIO Directorate have moved to “no-deadline” submissions with limits on the number of proposals that you may submit each year.  The Core Programs of the BIO Directorate will accept proposals any time, but limit investigators to one submission as PI or Co-PI per fiscal year (Oct. 1- Sept. 30). Investigators who submit a proposal before Oct. 1 this year will be eligible to submit or re-submit another proposal to the same NSF BIO division (i.e., IOS, MCB, DBI, or DEB) before Oct. 1, 2019. Investigators who submit a proposal after October 1 may only be eligible to submit another proposal to the same division after Oct. 1, 2019. Oct. 1 falls on a Sunday, so proposals would have to be submitted by SPA by Friday, September 28 to retain eligibility to submit another proposal in the coming year. For more information, including programs that count and do not count toward the one-submission limit, and the submission limits for other NSF programs, check the Eligibility Information of the relevant NSF Program Solicitation.