OARS funding Engineering

This is one of two virtual OFRN Round 5 funding information sessions before the formal release of the OFRN SOARING Round 5 RFP. Each session will have the same structure. During the session, OFRN will give a brief overview of the pre-release document, and then OFRN federal partner participants will be available to address specific questions relating to the Areas of Interest.

DMREF will support activities that significantly accelerate materials discovery and development by building the fundamental knowledge base needed to advance the design and development of materials with desirable properties or functionality. This will be accomplished through forming interdisciplinary teams of researchers working synergistically in a "closed loop" fashion, building a vibrant research community, leveraging data science, providing ready access to materials data, and educating the future MGI workforce. Achieving this goal could involve some combination of: strategies to advance materials design through testing methodology; theory, modeling, and simulation to predict behavior or assist in analysis of multidimensional input data; and validation through synthesis, growth, processing, characterization, and/or device demonstration.

The Electrical, Communications and Cyber Systems (ECCS) Division supports enabling and transformative research that fuels progress in engineering applications with high societal impacts. ECCS programs encompass novel electronic, photonic, and magnetic devices; communication systems, novel integrated circuits, antennas, sensors; machine learning, control, and networks, to name a few. The fundamental research supported by ECCS impacts a wide range of applications such as communications, energy and power, healthcare, environment, transportation, manufacturing, and other areas. ECCS strongly emphasizes the integration of education into its research programs to support the preparation of a diverse and professionally skilled workforce. ECCS also strengthens its programs through links to other areas of engineering, science, industry, government, and international collaborations. The Addressing Systems Challenges through Engineering Teams (ASCENT) program is a strategic investment of ECCS that emphasizes new collaboration modalities among the various ECCS supported sub-disciplines. ASCENT encourages robust collaborations between the devices, circuits, algorithmic, and network research communities to develop innovative projects. ASCENT seeks proposals that are bold and ground-breaking transcending the perspectives and approaches typical of disciplinary research efforts. ASCENT projects are expected to lead to disruptive technologies or nucleate entirely new research fields motivated by the most pressing societal challenges the global community faces.

The focus of this BAA is primarily on projects that continue to advance the systems engineering approach needed for the design, fabrication, and manufacture of structural components to address challenges in system weight, performance, affordability, and/or survivability. The foundation of this approach should include the integration of materials information, captured in computational tools, with engineering product performance analysis and manufacturing-process simulation termed commonly as Integrated Computational Materials Engineering (ICME). From this foundation it is expected the integration of manufacturing process information and product performance information utilizing the full range of engineering and analytical tools, processes, and principles to improve efficiency and effectiveness of their integrated approach. The intent is to bring together materials designers, materials suppliers, product designers, and manufacturers to collaborate on the design, production, and commercialization of novel affordable, manufacturable systems. Projects may include basic and applied research, technology and component development, and prototyping; but may also focus on manufacturing supply-chain technical support and integration, workforce development, and manufacturing education.

The COVID-19 pandemic has highlighted the need for improved environmental sensing of pathogens. Sensing SARS-CoV-2 virus in the air with high sensitivity and specificity could provide a new mechanism for public health monitoring, enabling safer conditions for a wide range of basic activities including work, travel, and school. SenSARS aims to identify SARS-CoV-2 signatures suitable for rapid indoor air monitoring and use these signatures to develop and demonstrate a technology readiness level (TRL) 4 prototype sensor.

This Funding Opportunity Announcement (FOA) intends to accelerate the use of scalable technologies and tools to enhance brain cell census research, including the development of technology platforms and/or resources and the generation of spatiotemporal cell census data and/or resources. Applications are expected to address limitations and gaps of existing technologies/tools as a benchmark against which the improvements or competitive advantages of the proposed ones will be measured. The improvements include throughput, sensitivity, selectivity, scalability, spatiotemporal resolution and reproducibility in cell atlas analyses. The projects funded under this FOA will align with the overarching goals of the BRAIN Initiative Cell Census Network (BICCN) and are expected to enable the generation of a large amount of cell census data using the proposed technologies or via collaboration with the BICCN.

The NSF Division of Undergraduate Education (DUE) in collaboration with AAAS will offer an Improving Undergraduate STEM Education: Education and Human Resources (IUSE: EHR) webinar focusing on opportunities for funding in the IUSE: EHR program, specifically associated with the Institutional and Community Transformation (ICT) track of the IUSE program. An audio archive and slides will be posted after the webinar at https://aaas-iuse.org. The IUSE: EHR program "seeks to promote novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for all undergraduates." The program supports proposals interested in improving undergraduate education, developing faculty expertise, preparing K-12 teachers, and providing all undergraduate students with STEM competencies and a basic understanding of STEM concepts and principles. All projects must contribute to the body of knowledge about what works in undergraduate STEM education and the conditions that lead to improved STEM teaching and learning. The ICT track seeks to fund innovative work on systemic change that may be measured at the departmental, institutional, or multi-institutional level, or across communities of STEM educators and/or educational researchers. ICT projects are expected to include one or more theories of change to guide the proposed work and this webinar will provide information about expectations for Identifying and incorporating these theories of change.

The NSF Division of Undergraduate Education (DUE) in collaboration with AAAS will offer an Improving Undergraduate STEM Education: Education and Human Resources (IUSE: EHR) webinar focusing on opportunities for funding in the IUSE: EHR program, specifically associated with expectations of the new IUSE solicitation, NSF 19-601. An audio archive and slides will be posted after the webinar at https://aaas-iuse.org. The IUSE: EHR program "seeks to promote novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for all undergraduates." The program supports proposals interested in improving undergraduate education, developing faculty expertise, preparing K-12 teachers, and providing all undergraduate students with STEM competencies and a basic understanding of STEM concepts and principles. All projects must contribute to the body of knowledge about what works in undergraduate STEM education and the conditions that lead to improved STEM teaching and learning. 

The OFRN Round 5 Opportunity Announcement is focused on expanding Ohio's research and development capabilities across the state's academic institutions and business in support of Ohio-based federal partner needs, which ultimately promotes Ohio's economic growth. OFRN Round 5 Areas of Interest (AOIs) include topics in Unmanned Aerial Systems (UAS), Artificial Intelligence, Human Factors, Data Analytics and Space Commercialization. This announcement seeks to leverage Ohio's unique research capabilities and its federal partner's expertise to accelerate technology development and innovation by increasing collaboration across government, academic, and industry organizations. The Round 5 Opportunity Announcement is subject to funding availability based upon a pending review and final determination of the Program Objectives from the Ohio Department of Higher Education (ODHE). This is a Pre-Release notification and NOT a formal solicitation.

NOTE: Webpage provides information about general webinar and BIO Directorate breakout. If you are interested in breakouts for other directorates, contact Heather Johnston (johnsthb@MiamiOH.edu) in Research & Innovation for information. On Wednesday, November 4, 2020 and Thursday, November 5, 2020, NSF will host outreach webinars with information about the Mid-Scale Research Infrastructure (Mid-scale RI)-1 funding opportunity (NSF 21-505). The Mid-scale RI Big Idea is intended to provides an agile, Foundation-wide process to fund experimental research capabilities in the mid-scale range ($6 million to $100 million), between the Major Research Instrumentation (MRI) and Major Facilities thresholds.  Recently, the solicitation (NSF 21-505) for the Mid-scale RI-1 program (for infrastructure with total project cost of $6 million up until, but not including, $20 million) was published with a deadline of January 7, 2021 for preliminary proposals. Each session will begin at 1:00 p.m. EST and have two parts: a general Mid-scale RI-1 information session (1:00 p.m. -1:40 p.m. EST) with Q&A followed by Directorate-specific breakouts (1:45 p.m. - 2:30 p.m. EST) where more technical questions will be addressed. The information presented on Day 1 will be the same as the information presented on Day 2.

The U.S. Environmental Protection Agency (EPA), as part of its Science to Achieve Results (STAR) program, is seeking applications proposing research that will address behavioral, technical and practical aspects of interventions and communication strategies to reduce exposures and/or health risks of wildland fire smoke.

The NSF ADVANCE program provides grants to enhance the systemic factors that support equity and inclusion and to mitigate the systemic factors that create inequities in the academic profession and workplaces. Systemic (or organizational) inequities may exist in areas such as policy and practice as well as in organizational culture and climate. For example, practices in academic departments that result in the inequitable allocation of service or teaching assignments may impede research productivity, delay advancement, and create a culture of differential treatment and rewards. Similarly, policies and procedures that do not mitigate implicit bias in hiring, tenure, and promotion decisions could lead to women and racial and ethnic minorities being evaluated less favorably, perpetuating historical under-participation in STEM academic careers and contributing to an academic climate that is not inclusive. All NSF ADVANCE proposals are expected to use intersectional approaches in the design of systemic change strategies in recognition that gender, race and ethnicity do not exist in isolation from each other and from other categories of social identity. The solicitation includes four funding tracks: Institutional Transformation (IT), Adaptation, Partnership, and Catalyst, in support of the NSF ADVANCE program goal to broaden the implementation of systemic strategies that promote equity for STEM faculty in academic workplaces and the academic profession.

Growing Convergence Research (GCR) at the National Science Foundation was identified as one of 10 Big Ideas. Convergence research is a means for solving vexing research problems, in particular, complex problems focusing on societal needs. It entails integrating knowledge, methods, and expertise from different disciplines and forming novel frameworks to catalyze scientific discovery and innovation. GCR identifies Convergence Research as having two primary characteristics: Research driven by a specific and compelling problem. Convergence Research is generally inspired by the need to address a specific challenge or opportunity, whether it arises from deep scientific questions or pressing societal needs. Deep integration across disciplines. As experts from different disciplines pursue common research challenges, their knowledge, theories, methods, data, research communities and languages become increasingly intermingled or integrated. New frameworks, paradigms or even disciplines can form sustained interactions across multiple communities. A distinct characteristic of convergence research, in contrast to other forms of multidisciplinary research, is that from the inception, the convergence paradigm intentionally brings together intellectually diverse researchers and stakeholders to frame the research questions, develop effective ways of communicating across disciplines and sectors, adopt common frameworks for their solution, and, when appropriate, develop a new scientific vocabulary. Research teams practicing convergence aim at developing sustainable relationships that may not only create solutions to the problem that engendered the collaboration, but also develop novel ways of framing related research questions and open new research vistas.

A key focus of the design of modern computing systems is performance and scalability, particularly in light of the limits of Moore's Law and Dennard scaling. To this end, systems are increasingly being implemented by composing heterogeneous computing components and continually changing memory systems as novel, performant hardware surfaces. Applications fueled by rapid strides in machine learning, data analysis, and extreme-scale simulation are becoming more domain-specific and highly distributed. In this scenario, traditional boundaries between hardware-oriented and software-oriented disciplines increasingly are blurred. Achieving scalability of systems and applications will therefore require coordinated progress in multiple disciplines such as computer architecture, high-performance computing (HPC), programming languages and compilers, security and privacy, systems, theory, and algorithms. Cross-cutting concerns such as performance (including, but not limited to, time, space, and communication resource usage and energy efficiency), correctness and accuracy (including, but not limited to, emerging techniques for program analysis, testing, debugging, probabilistic reasoning and inference, and verification), security and privacy, robustness and reliability, domain-specific design, and heterogeneity must be taken into account from the outset in all aspects of systems and application design and implementation.

The MCA offers an opportunity for scientists and engineers at the Associate Professor rank (or equivalent) to substantively enhance and advance their research program through synergistic and mutually beneficial partnerships, typically at an institution other than their home institution. Projects that envision new insights on existing problems or identify new but related problems previously inaccessible without new methodology or expertise from other fields are encouraged. Partners from outside the PI's own sub-discipline or discipline are encouraged, but not required, to enhance interdisciplinary networking and convergence across science and engineering fields. By (re)-investing in mid-career investigators, NSF aims to enable and grow a more diverse scientific workforce (more women, persons with disabilities, and underrepresented minorities) at high academic ranks, who remain engaged and active in cutting-edge research.

DOE SC hereby invites applications for support under the Early Career Research Program in the following program areas: Advanced Scientific Computing Research (ASCR); Basic Energy Sciences (BES); Biological and Environmental Research (BER); Fusion Energy Sciences (FES); High Energy Physics (HEP); Nuclear Physics (NP); Isotope R&D and Production (DOE IP); or Accelerator R&D and Production (ARDAP). The purpose of this program is to support the development of individual research programs of outstanding scientists early in their careers and to stimulate research careers in the areas supported by SC.

DOE-NE's mission is to encourage development and exploration of advanced nuclear science and technology. DOE-NE promotes nuclear energy as a resource capable of meeting the nation's energy, environmental, and national security needs by resolving scientific, technical, and regulatory challenges through research, development, and demonstration. IUP supports DOE-NE's Nuclear Energy University Program (NEUP), which enables outstanding, cutting-edge, and innovative research at U.S. IHEs through the following: * Integrating research and development (R&D) at U.S. IHEs, national laboratories, and industry to revitalize nuclear education and support NE'sPrograms * Attracting the brightest students to the nuclear professions and supporting the nation's intellectual capital in science and engineering disciplines * Improving U.S. IHE's infrastructure for conducting R&D and educating students * Facilitating knowledge transfer to the next generation ofworkers Educating undergraduate and graduate students in NS&E will: * Support the ongoing need for personnel who can develop and maintain the nation's nuclear power technology * Enhance the R&D capabilities of U.S. IHEs * Fulfill national demand for highly trained scientists and engineers to work in NS&E areas

The EBRC (Energetics Basic Research Center) is a basic research program initiated by the Combat Capabilities Development Command/Army Research Laboratory/ARO. It focuses on areas of strategic importance to U.S. national security. It seeks to increase the Army's intellectual capital in energetic materials (EM) and improve its ability to address future challenges. EBRC brings together universities, research institutions, companies, and individual scholars and supports multidisciplinary and cross-institutional projects addressing specific topic areas determined by the Department of the Army (DA). The EBRC aims to promote research in specific areas of EMs and to promote a candid and constructive relationship between DA and the energetics research community. The future Army is projected to be unable to achieve dominance in range and lethality due to inadequate energetic formulations and form factor limitations associated with current weapon systems. Basic research generates new knowledge that may be exploited to develop and deliver new materials and technologies that contribute to enhanced lethal effects at the system level as well as increased range and a smaller payload. These, in turn, enable space for larger, mission-critical systems, and shorter time-to-target ensuring Army battlefield dominance in Multi-Domain Operations. Army research must encompass new ways to expedite the discovery, design, and scale-up of new materials and concepts which when integrated into newly designed weapons components (e.g. additively manufactured high strength steels with pre-formed fragmentation patterns, and structural reactive materials) developed at ARL and across the Army and DoD communities, will deliver decisive weapons overmatch.

The Office of Naval Research (ONR), ONR Global, and Marine Corps Warfighting Lab (MCWL) are interested in receiving proposals for Long-Range S&T Projects which offer potential for advancement and improvement of Navy and Marine Corps operations. Readers should note that this is an announcement to declare ONR, ONRG and MCWLs broad role in competitive funding of meritorious research across a spectrum of science and engineering disciplines.

NineSigma, representing the Electric Power Research Institute (EPRI), invites proposals from organizations and companies for technologies and digital tools to provide real-time feedback from various sensory inputs for adaptive welding applications The ideal solution will collate and analyse data from the following inputs. Real-time imaging data from vision systems Real-time weld, groove and joint profile data from laser profiler Weld parameter data acquisition Acoustics and vibration (accelerometer) data analysis