OARS funding Engineering

The Children's Heart Foundation's 2020 Call for Research Proposals is now open! The Children's Heart Foundation funds life-saving, life-changing congenital heart defect (CHD) research in clinical cardiology, translational research, population science, and advancement, prevention, detection of surgical and interventional techniques including, but not limited to the following areas:  Genetics Biochemistry Pharmacology Devices and procedural research (cardiac catheterization and surgery) Neurodevelopmental and functional outcomes Quality and policy regarding delivery of care, coverage, and access Maternal environment and modifiable disease impact on fetuses with CHD Fetal diagnosis and intervention Long-term care of adults with CHDs Technological development and advancements

The Children's Heart Foundation's 2020 Call for Research Proposals is now open! The Children's Heart Foundation funds life-saving, life-changing congenital heart defect (CHD) research in clinical cardiology, translational research, population science, and advancement, prevention, detection of surgical and interventional techniques including, but not limited to the following areas:  Genetics Biochemistry Pharmacology Devices and procedural research (cardiac catheterization and surgery) Neurodevelopmental and functional outcomes Quality and policy regarding delivery of care, coverage, and access Maternal environment and modifiable disease impact on fetuses with CHD Fetal diagnosis and intervention Long-term care of adults with CHDs Technological development and advancements

The worldwide growth of wireless communication, navigation, and telemetry has provided immense societal benefits including mobile broadband data, Internet of Things (IoT), mobile healthcare, and intelligent transportation systems. These and other applications including 5G and beyond wireless systems call for innovations that can circumvent the challenges of radio spectrum scarcity and interference and foster the growth of ubiquitous, high speed, low latency connectivity. Commercial applications like the above must operate in harmony with scientific uses such as research on radio astronomy, Earth and atmospheric sciences, and must not inhibit weather prediction, polar research, and other nationally vital activities, all of which are dependent upon access to the radio spectrum. The National Science Foundation (NSF) continues to support wireless spectrum research and the scientific uses of the electromagnetic spectrum through multiple programs that enable fast, accurate, dynamic coordination and usage of our limited spectrum resource. These programs have created an opportune ground to build and create a large center-based ecosystem for spectrum research, which is the target of this SII-Center program.

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) and VentureWell hold the Design by Biomedical Undergraduate Teams (DEBUT) Challenge which recognizes undergraduate excellence in biomedical innovation. DEBUT will award a total of $100K to undergraduate student teams working on innovative solutions to unmet health and clinical problems. Revised Criteria for 2020 In light of the social distancing measures that kept most students from entering labs this year, we are modifying our criteria to acknowledge teams that had excellent ideas for healthcare innovations but could not build and/or test/debug a prototype. We also want to reward teams who were able to achieve a working prototype. For 2020, each team will receive an ideation score and a prototype score and the team's final score will be the higher of the two.

Funding Opportunity Announcement (FOA) DE-FOA-0002332 is focused on maturing energy storage technologies that have the potential to be integrated with large scale fossil assets, both existing and new build, with and without carbon capture.

The purpose of this Request for Information (RFI) is to solicit feedback from industry, academia, research laboratories, government agencies, and other stakeholders on how to improve framing of issues and potential appropriate government roles in addressing them, so that the DOE hydropower strategy and HydroWIRES research can be most impactful for the nation. This is solely a Request for Information and not a Funding Opportunity Announcement (FOA). EERE is not accepting applications. Responses to this RFI must be submitted electronically to WPTORFI@ee.doe.gov no later than 5:00 p.m. ET on June 24, 2020. Responses must be provided as attachments to an email. Only electronic responses will be accepted. The full content of the announcement can be found on the EERE Exchange website at https://eere-exchange.energy.gov. This is a Request for Information only. EERE will not pay for information provided under this RFI and no project will be supported as a result of this RFI. This RFI is not accepting applications for financial assistance or financial incentives.

Section 313 of the Omnibus Appropriations Act of 2009 (H.R. 1105, P.L. 111-8) created the Integrated University Program (IUP). DNN R&D is one of the three participants in this program and is continuing a nuclear science and engineering program to support multi-year research projects critical to maintaining the discipline of nuclear science and engineering. Throughout this document the term, DOE National Laboratories, is used to collectively refer to DOE and NNSA National Laboratories, Sites, and Complexes. For DNN R&D, the role of Institutions of Higher Education (IHE; as defined in Section III.A. below) is to innovate, develop, and prove some of the most challenging basic aspects of new technology and methods in coordination with the DOE National Laboratories which can in turn fulfill their unique role to perform mission-specific research and development that improves on capabilities until they are either adopted by operational enterprises or transitioned into private industry for commercialization. Transparently and effectively linking the roles of these IHE and DOE National Laboratory represents the core of how DNN R&D proposes to meet its objectives. The intent of this Funding Opportunity Announcement (FOA) is to award ONE or TWO five-year cooperative agreement(s) to a consortium consisting of accredited IHE's to allow them to receive and administer funds for student and faculty research, fellowships, and scholarship funding awarded by DOE/NNSA, DNN R&D. The cooperative agreement will be awarded to a consortium of IHEs which will include the participation of DOE National Laboratories as a consortium-member(s). Individual consortium-member IHEs shall make specific contributions and shall receive specified portions of the funding. The consortium may include student and research fellows and must have a long-term objective of building expertise in nuclear science and engineering. Research results should be incorporated readily into IHE curricula. Students, faculty

ONR Global recognizes that international scientists and engineers conduct creative and novel research. This Global-X Challenge provides an opportunity for these international researchers to collaborate, generate revolutionary ideas and demonstrate these ideas will succeed. ONR Global invites outstanding international researchers to form multi-national, multidisciplinary teams to address one or more of these capability challenges. ONR Global will use existing online collaboration tools to help researchers to connect, collaborate and form teams. ONR Global will provide more information about collaboration forums during the Kick-off Webinar. Individual researchers may participate on more than one team. Teams are responsible for establishing nondisclosure agreements among team members, if necessary. All ONR Global and U.S. Federal employees are already covered by Federal laws requiring the protection of trade secrets and proprietary information. Researchers from academia and industry may participate. ONR Global expects, but does not require, that multi-national teams will consist of at least two research entities outside of the U.S., whether from academia, industry and/or the broad research community. Researchers from U.S. research entities may also participate, but are not required. As stated above, this Global-X Challenge is an opportunity specifically directed toward international researchers; therefore, ONR Global expects the majority of team members will be outside of the U.S. Each team shall designate a lead Principal Investigator (PI) whose research organization outside of the U.S. will submit the white paper or proposal, and that will distribute funding to co-PIs and other subrecipients. For a given project team, one award is made to the PI's institution. Only the PI's institution will be the prime awardee, and that institution is responsible for all aspects of the grant, including conditions on the use of funds and other terms and conditions of the gran

NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness, intended to be shared across all segments of society. Broad acceptance and adoption of large-scale deployments of AI systems rely critically on their trustworthiness which, in turn, depends on the ability to assess and demonstrate the fairness (including broad accessibility and utility), transparency, explainability, and accountability of such systems. For example, the behavior of algorithms for face recognition, speech, and language, especially when integrated into decision support systems applied across different segments of society, would benefit from new foundational research in fairness of AI systems. NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, algorithmic advances, fairness objectives, validation of fairness, and advances in broad accessibility and utility. Funded projects will enable broadened acceptance of AI systems, helping the U.S. further capitalize on the potential of AI technologies. Although Amazon provides partial funding for this program, it will not play a role in the selection of proposals for award.

This Funding Opportunity Announcement (FOA) encourages grant applications for Biomedical Technology Resource Centers (BTRCs). BTRCs are national resource centers for conducting research and development on new technologies that are driven by the needs of basic, translational, and/or clinical researchers. BTRCs also make their technologies available to other investigators, train members of the research community in the use of the technologies, and disseminate the technologies broadly.

These merit based, nonrenewable, scholarships will be given to undergraduate students admitted to Ohio state or private colleges and universities who can demonstrate their knowledge and commitment to careers in environmental sciences or environmental engineering. Students must be entering the final year of the program. Awardees will be selected by the Academy appointed panel. Scholarships may be used for tuition, fees, books, personal protection equipment, tools, instruments and field equipment but not housing.

Scientific machine learning is a core component of artificial intelligence and a computational technology that can be trained, with scientific data, to augment or automate human skills. Major research advances will be enabled by harnessing DOE investments in massive amounts of scientific data, software for predictive models and algorithms, high-performance computing (HPC) and networking platforms, and the national workforce. The crosscutting nature of machine learning and AI provides strong motivation for formulating a prioritized research agenda. Scientific Machine Learning and Artificial Intelligence (Scientific AI/ML) will have broad use and transformative effects across the research communities supported by DOE. Accordingly, a 2019 Basic Research Needs workshop report identified six Priority Research Directions. The first three PRDs describe foundational research themes that are common to the development of Scientific AI/ML methods and correspond to the need for domain-awareness, interpretability, and robustness. The other three PRDs describe capability research themes and correspond to the three major use cases of massive scientific data analysis (PRD #4), machine learning-enhanced

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of artificial intelligence and machine learning in the context of computational decision support for complex systems.

The Educational Materials for Professional Organizations Working on Efficiency and Renewable Energy Developments (EMPOWERED) funding program is a collaborative effort across EERE's Solar Energy Technologies Office (SETO), Vehicle Technologies Office (VTO), and Building Technologies Office (BTO), to provide professionals with educational materials and training resources in fields newly interacting with distributed energy resources (DER). In this program, DER includes distributed solar, like on homes and businesses, as well as efficient building technologies and sustainable transportation technologies, such as electric vehicles. The goal of this program is to create resources that will help those on the front lines of DER adoption-like first responders, safety officials, and building managers and owners keep up with these rapidly emerging and advancing technologies. These professionals are at the forefront of America's energy transition and play a role in easing adoption, ensuring safety, and reducing installation costs. Because of this, the participating EERE offices see these professionals as key to enabling understanding and acceptance of new energy technologies.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. New, smart CPS drive innovation and competition in a range of application domains including agriculture, aeronautics, building design, civil infrastructure, energy, environmental quality, healthcare and personalized medicine, manufacturing, and transportation. CPS are becoming data-rich enabling new and higher degrees of automation and autonomy. Traditional ideas in CPS research are being challenged by new concepts emerging from artificial intelligence and machine learning. The integration of artificial intelligence with CPS especially for real-time operation creates new research opportunities with major societal implications.

The National Science Foundation's Directorates for Engineering (ENG), Computer and Information Science and Engineering (CISE), Mathematical and Physical Sciences (MPS), and Geosciences (GEO) are coordinating efforts to identify new concepts and ideas on Spectrum and Wireless Innovation enabled by Future Technologies (SWIFT). A key aspect of this new solicitation is its focus on effective spectrum utilization and/or coexistence techniques, especially with passive uses, which have received less attention from researchers. Coexistence is when two or more applications use the same frequency band at the same time and/or at the same location, yet do not adversely affect one another. Coexistence is especially difficult when at least one of the spectrum users is passive, i.e., not transmitting any radio frequency (RF) energy. Examples of coexisting systems may include passive and active systems (e.g., radio astronomy and 5G wireless communication systems) or two active systems (e.g., weather radar and Wi-Fi). Breakthrough innovations are sought on both the wireless communication hardware and the algorithmic/protocol fronts through synergistic teamwork. The goal of these research projects may be the creation of new technology or significant enhancements to existing wireless infrastructure, with an aim to benefit society by improving spectrum utilization, beyond mere spectrum efficiency. The SWIFT program seeks to fund collaborative team research that transcends the traditional boundaries of individual disciplines.

The Civic Innovation Challenge (CIVIC) is a research and action competition in the Smart and Connected Communities (S&CC) domain designed to build a more cohesive research-to-innovation pipeline and foster a collaborative spirit. Building on the NSF S&CC program and the extensive S&CC ecosystem, CIVIC aims to accelerate the impact of S&CC research, and deepen cooperation and information sharing across sectors and regions. CIVIC will lay a foundation for a broader and more fluid exchange of research interests and civic priorities that will create new instances of collaboration and introduce new areas of technical and social scientific discovery. CIVIC will fund projects that can produce significant community impact within 12 months (following a four-month planning phase) - in contrast to many community-university partnerships that take years to provide tangible benefits to communities - and have the potential for lasting impact beyond the period of the CIVIC award.

To that end, the foundation welcomes applications for its Research Program, which supports pioneering discoveries in science, engineering, and medical research. Through the program, grants are awarded to research universities, medical colleges, and major private independent scientific and medical research institutions in support of projects that are focused on important and emerging areas of research; have the potential to develop breakthrough technologies, instrumentation, or methodologies; are innovative, distinctive and interdisciplinary; demonstrate a high level of risk due to unconventional approaches or by challenging a prevailing paradigm; and have the potential for transformative impact (e.g., the founding of a new field of research, the enabling of observations not previously possible, or the altered perception of a previously intractable problem). The program seeks to fund high-risk/high-impact work that lays the groundwork for new paradigms, technologies, and discoveries, save lives, and adds to our collective understanding of the world.

To that end, it is inviting concept papers for its grants program. Through the program, grants will be awarded in support of proposals and programs in which the chief purpose is to advance engineering for the welfare of humanity. Proposals must be consistent with the mission of UEF and its priorities for giving, which include programs focused on diversity in the profession, K-12 education, and engineering ethics, safety, security, and leadership. Preference will be given to proposals for programs that are innovative and aim to integrate multiple fields and subspecialties of engineering; proposals for programs that include outreach to the community; collaborative proposals submitted on behalf of a group; and proposals that specify that grant funds will not be used to offset existing staff salaries.

The Civic Innovation Challenge (CIVIC) is a research and action competition in the Smart and Connected Communities (S&CC) domain designed to build a more cohesive research-to-innovation pipeline and foster a collaborative spirit. Building on the NSF S&CC program and the extensive S&CC ecosystem, CIVIC aims to accelerate the impact of S&CC research, and deepen cooperation and information sharing across sectors and regions. CIVIC will lay a foundation for a broader and more fluid exchange of research interests and civic priorities that will create new instances of collaboration and introduce new areas of technical and social scientific discovery. CIVIC will fund projects that can produce significant community impact within 12 months (following a four-month planning phase) - in contrast to many community-university partnerships that take years to provide tangible benefits to communities - and have the potential for lasting impact beyond the period of the CIVIC award.