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The Sensors, Dynamics, and Control (SDC) program supports fundamental research on the analysis, measurement, monitoring and control of complex dynamical and structural systems, including development of new analytical, computational and experimental tools, and novel applications to engineered and natural systems. Program objectives are the discovery of new phenomena and the investigation of innovative methods and applications for dynamics, measurement, and control. Transformative research on complex networks, linear and nonlinear discrete or infinite dimensional systems spanning a multitude of time and length scales and physical domains are of interest, as are highly interdisciplinary projects and projects addressing security, resilience and sustainability. Basic research strongly motivated by industry needs or other real-life applications is welcome.The SDC program supports fundamental research on the theories of dynamical systems to uncover novel paradigms for modeling, control and analysis of dynamic phenomena and systems that undergo spatial and temporal evolution with applications crossing interdisciplinary boundaries, along with fundamental studies on stability, phase transitions, and wave propagation in complex and non-local media. Furthermore, the program supports fundamental research on monitoring, analysis, and decision-making processes for integrity monitoring, sensors reliability and safety of complex engineered systems, especially under conditions of uncertainty. Of interest is the investigation of big data (high-volume and high-speed) issues related to virtually-continuous streams of measurements from heterogeneous sensors for continuous systems monitoring. The SDC program also includes fundamental research on control theory and its applications. Topics of current interest include unconventional applications of control; the combined roles of feedback, feedforward and uncertainty; integrated feedback, communication and signal processing; and control conc

The purpose of the SCRI program is to address the critical needs of the specialty crop industry by awarding grants to support research and extension that address key challenges of national, regional, and multi-state importance in sustaining all components of food and agriculture, including conventional and organic food production systems. Projects must address at least one of five focus areas: Research in plant breeding, genetics, genomics, and other methods to improve crop characteristics; Efforts to identify and address threats from pests and diseases, including threats to specialty crop pollinators; Efforts to improve production efficiency, handling and processing, productivity, and profitability over the long term (including specialty crop policy and marketing); new innovations and technology, including improved mechanization and technologies that delay or inhibit ripening; and methods to prevent, detect, monitor, control, and respond to potential food safety hazards in the production efficiency, handling and processing of specialty crops.

A global automobile parts manufacturer, a client of NineSigma, believes credible air cleaning technology is key to comfortable automobile experience; particularly deodorization and sterilization technology will become increasingly important. The Client has promoted research and development on their own, however they now face a challenge to find a suitable solution to ensure both deodorization/sterilization and safety in a short time. Given that technological development of such air cleaning is done globally, the Client decided to find a partner to further accelerate the development speed, which lead to this offering.

The purpose of the grant program is to fill knowledge gaps in the impact of point-of-care ultrasound on patient outcomes and the amount of training needed to achieve competence in performing point-of-care ultrasound. Projects can be ultrasound application-specific (e.g., assessing the impact of an ultrasound application with respect to diagnosis and management); ultrasound practice-specific (e.g., comparing academic and community emergency departments with and without point-of-care ultrasound with respect to throughput, cost-effectiveness, patient safety, etc.); and/or focused on point-of-care ultrasound learning curves to identify performance plateaus for both image acquisition and interpretation.

The Bureau of Democracy, Human Rights, and Labor (DRL) announces a Request for Statements of Interest (RSOI) from organizations interested in submitting Statements of Interest (SOI) for programs that support Internet Freedom. In support of the U.S. International Strategy for Cyberspace, DRL's goal is to protect the open, interoperable, secure, and reliable Internet by promoting fundamental freedoms, human rights, and the free flow of information online through integrated support to civil society for technology, digital safety, policy and advocacy, and applied research programs. DRL invites organizations interested in potential funding to submit SOI applications outlining program concepts that reflect this goal.

The objective of this Funding Opportunity Announcement (FOA) is to support the development of new and innovative multipurpose prevention technologies (MPT) with rheological/biophysical properties and product user perceptions compatible with current long-acting reversible contraceptive (LARC) strategies (look, feel, effectiveness, safety and duration of action) for the dual purpose of preventing pregnancy and HIV infection in women. MPTs proposed for development must be dual indication and prevent pregnancy and HIV infection and have drug delivery systems (DDS) capable with sustained/extended release of both drugs. MPTs proposed for development must use a licensed contraceptive. This FOA requires an industry partner, milestones linked to Go/No Go decisions and year 5 funding requires submission of a pre-IND application to the FDA.

The objective of this Funding Opportunity Announcement (FOA) is to support the development of new and innovative multipurpose prevention technologies (MPT) with rheological/biophysical properties and product user perceptions compatible with current long-acting reversible contraceptive (LARC) strategies (look, feel, effectiveness, safety and duration of action) for the dual purpose of preventing pregnancy and HIV infection in women. MPTs proposed for development must be dual indication and prevent pregnancy and HIV infection and have drug delivery systems (DDS) capable with sustained/extended release of both drugs. MPTs proposed for development must use a licensed contraceptive. This FOA requires an industry partner, milestones linked to Go/No Go decisions and year 5 funding requires submission of a pre-IND application to the FDA.

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. Moreover, the integration of artificial intelligence with CPS creates new research opportunities with major societal implications.

The proliferation of mobile and Internet-of-Things (IoT) devices, and their pervasiveness across nearly every sphere of our society, continues to raise questions about the architectures that organize tomorrow’s compute infrastructure. At the heart of this trend is the data that will be generated as myriad devices and application services operate simultaneously to digitize a complex domain like a smart building or smart industrial facility. A key shift is from edge devices consuming data produced in the cloud to edge devices being a voluminous producer of data. This shift reopens a broad variety of system-level research questions concerning data placement, movement, processing and sharing. Importantly, the shift also opens the door to compelling new applications with significant industrial and societal impact in domains such as healthcare, manufacturing, transportation, public safety, energy, buildings, and telecommunications. Edge computing is broadly defined as a networked systems architectural approach in which compute and storage resources are placed at the network edge, in proximity to the mobile and IoT devices.

The proliferation of mobile and Internet-of-Things (IoT) devices, and their pervasiveness across nearly every sphere of our society, continues to raise questions about the architectures that organize tomorrow's compute infrastructure. At the heart of this trend is the data that will be generated as myriad devices and application services operate simultaneously to digitize a complex domain like a smart building or smart industrial facility. A key shift is from edge devices consuming data produced in the cloud to edge devices being a voluminous producer of data. This shift reopens a broad variety of system-level research questions concerning data placement, movement, processing and sharing. Importantly, the shift also opens the door to compelling new applications with significant industrial and societal impact in domains such as healthcare, manufacturing, transportation, public safety, energy, buildings, and telecommunications.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technology will transform the way people interact with engineered systems -- just as the Internet has transformed the way people interact with information. New smart CPS will drive innovation and competition in sectors such as agriculture, energy, transportation, building design and automation, healthcare, and manufacturing.

ABC Wildlife humanely manages urban wildlife and insects in the interest of human health and safety from an environmental sustainability perspective with a love of nature and a deep respect for all living things. ABC Wildlife has offered humane wildlife removal services to the Chicagoland area for over 35 years.  As a woman-owned corporation operating in a largely male field, ABC Wildlife understands the remarkable impact women can have when allowed to break through. We want to pave the way for other women pursuing their dreams in the scientific world, which is why ABC Wildlife is introducing a scholarship designed to increase the number of women studying and influencing the future of science, including technology, engineering and math.

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. Moreover, the integration of artificial intelligence with CPS creates new research opportunities with major societal implications. While tremendous progress has been made in advancing CPS technologies, the demand for innovation across application domains is driving the need to accelerate fundamental research to keep pace.

Weigh-in-motion (WIM) systems are a vital means for collecting traffic data-critical input for pavement and bridge designs-used for making transportation and freight planning decisions and in highway safety investigations. There are, however, many potential sources of error in WIM measurements which make it difficult for data collectors to evaluate data accuracy and consistency. For over a decade, the Federal Highway Administration (FHWA) Long-Term Pavement Performance (LTPP) program collected a massive amount of WIM data, along with information about the performance of WIM equipment. This includes the WIM validation and calibration data from 24 LTPP Specific Pavement Studies (SPS) test sites across North America. This and other data sets provide an opportunity to develop more advanced WIM tools to help state highway practitioners perform WIM site selection, sensor selection, maintenance, development of calibration procedures including frequency, and data quality acceptance. These tools could help improve WIM data accuracy and consistency by considering factors such as temperature and seasonal effects, vehicle speed, pavement condition, changes in truck population and configurations, data sampling frequencies, system age, and other factors.

The intended outcome of this FOA is to advance efforts for a nationally integrated food safety system (IFSS) by supporting Manufactured Food Regulatory Program Standards (MFRPS), Rapid Response Teams (RRT) and Food Protection Task Force (FPTF) programs, as well as special projects. For the purposes of this FOA, the term State encompasses all eligible organizations as defined in Section 3.

The Graduate Research Fellowship in Science, Technology, Engineering, and Mathematics (GRF-STEM) provides awards to accredited academic institutions to support graduate research leading to doctoral degrees in topic areas that are relevant to ensuring public safety, preventing and controlling crime, and ensuring the fair and impartial administration of criminal justice in the United States. Applicant academic institutions sponsoring doctoral students are eligible to apply only if the doctoral student's degree program is a Science, Technology, Engineering, or Mathematics (STEM) discipline; and the student's proposed dissertation research has demonstrable implications for addressing the challenges of crime and/or the fair and impartial administration of criminal justice in the United States.Awards are anticipated to be made to successful applicant institutions in the form of grants to cover fellowships for the sponsored doctoral students. Awards are made for up to 3 years of support usable over a 5-year period. For each year of support, NIJ provides the degree-granting institution a stipend of $35,000 usable toward the student's salary and related costs, and up to $15,000 to cover the student's tuition and fees, research expenses, and related costs.

The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Examples of biosensors include, but are not limited to, electrochemical/electrical biosensors, optical biosensors, plasmonic biosensors, and paper-based and nanopore-based biosensors. In addition to advancing biosensor technology development, proposals that address critical needs in biomedical research, public health, food safety, agriculture, forensic, environmental protection, and homeland security are highly encouraged. Proposals that incorporate emerging nanotechnology methods are especially encouraged.

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.

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.