Funding Wizard

This Notice of Funding Opportunity (NOFO) is to solicit applications for three categories of Bridge Investment Program (BIP) funding opportunities: (1) Planning; (2) Bridge Projects (projects with eligible costs less than $100 million); and (3) Large Bridge Projects (projects with eligible costs greater than $100 million). Eligible applicants may submit applications for any of the three funding categories, but each category has distinct eligibility and selection criteria and application deadlines.These funds will be awarded on a competitive basis for planning, feasibility analysis, and revenue forecasting associated with the development of a project that would subsequently be eligible to apply for BIP funding under either the Bridge Projects or Large Bridge Projects funding categories.A total of $2.36 billion in 2022 BIP funds are available for the Bridge Projects and Large Bridge Projects funding opportunities. These funds will be awarded on a competitive basis for bridge replacement, rehabilitation, preservation, and protection projects that: (1) improve the safety, efficiency, and reliability of the movement of people and freight over bridges; and (2) improve the condition of bridges in the United States by reducing (a) the number of bridges, and total person miles traveled over bridges, that are in poor condition or that are in fair condition and at risk of falling into poor condition within the next three years, or (b) the number of bridges, and total person miles traveled over bridges, that do not meet current geometric design standards or cannot meet the load and traffic requirements typical of the regional transportation network. In addition, Large Bridge Projects that receive a BIP award of not less than $100 million are eligible for multiyear grants, in which DOT can award available funds to a project over the course of several years in accordance with an agreement and in alignment with its schedule. In selecting Bridge Projects and Large Bridge Projects, FHWA will consider the extent to which BIP funds leverage non-Federal contributions from sponsors and stakeholders involved in the planning, design, and construction of eligible projects.

Synopsis of Program: The OPUS program is targeted to individuals, typically at later-career stages, whohave contributed significant insights to a field or body of research over time. The program provides an opportunity to revisit and synthesize that prior research into a unique, integrated product(s) useful to the scientific community, now and in the future. All four clusters within the Division of Environmental Biology (Ecosystem Science, Evolutionary Processes, Population and Community Ecology, and Systematics and Biodiversity Science) encourage the submission of OPUS proposals.

The CHIPS Incentives Program aims to catalyze long-term economically sustainable growth in the domestic semiconductor industry in support of U.S. economic and national security. This is the first Notice of Funding Opportunity under this program. It seeks applications for projects for the construction, expansion, or modernization of commercial facilities for the front- and back-end fabrication of leading-edge, current-generation, and mature-node semiconductors. For more information, additional resources, and instructions on how to apply, please visit chips.gov. Note that all applications must be submitted through the CHIPS Incentives Portal at http://applications.chips.gov. If you have any questions on how to apply, please email apply@chips.gov.

NOTE: This is a Notice of Intent. There is no announcement related to this notice. We are not accepting applications. Subject to the availability of funds, USDOL’s Bureau of International Labor Affairs (ILAB) intends to award funding to an existing cooperative agreement with the International Labor Organization to extend the implementation of a project in Burma to increase knowledge and public awareness of child labor, strengthen local capacity to address the issue, and reduce child labor in target communities. The My-PEC project counters child labor in Burma by establishing a comprehensive, inclusive, and efficient multi-stakeholder response.Authority: DLMS 2-836 G.3: Services are available from only one responsible source and no substitute will suffice; or the recipient has unique qualifications to perform the type of activity to be funded.

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. The RCN program provides opportunities to foster new collaborations, including international partnerships where appropriate, and address interdisciplinary topics. Innovative ideas for implementing novel networking strategies, collaborative technologies, training, broadening participation, 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 also do not support primary research. Rather, the RCN program 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. Additional information about the RCN program and its impacts may be found in Porter et al. 2012 Research Coordination Networks: Evidence of the relationship between funded interdisciplinary networking and scholarly impact. BioScience, 62: 282-288 Proposed networking activities directed to the RCN program should focus on a theme to give coherence to the collaboration, such as a broad research question ora particular technology or a unique approach to address a current challenge.PIs are encouraged to consider approaches that enhance the geographic diversity of participation in the chosen theme. Participating programs in the Directorates for Biological Sciences (BIO), Computer and Information Science and Engineering (CISE), Geosciences (GEO), STEM Education (EDU), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and Technology, Innovation and Partnerships (TIP) will accept RCN proposals. PIs are encouraged to discuss suitability of an RCN topic with a program officer that manages the appropriate program. For proposals submitted to the CISE, ENG, SBE and TIP directorates consultation PRIOR to submission is mandatory (see Proposal Preparation instructions for supplementary documents). The NSF Growing Research Access for Nationally Transformative Equity and Diversity(NSF GRANTED) program welcomes inquiries about potential RCN proposals aimed at strengthening the capability of institutions of higher education to develop, submit, and manage research proposals and awards. Other NSF solicitations accept proposals similar to RCN but for narrowly defined themes. Please see section IX. Other Information of this solicitation for a listing of these programs. PIs are strongly advised to contact the appropriate Program Officer before submitting an RCN proposal.

The Communications, Circuits, and Sensing-Systems (CCSS) Program supports innovative research in circuit and system hardware and signal processing techniques. CCSS also supports system and network architectures for communications and sensing to enable the next-generation cyber-physical systems (CPS) that leverage computation, communication, and sensing integrated with physical domains. CCSS invests in micro- and nano-electromechanical systems (MEMS/NEMS), physical, chemical, and biological sensing systems, neurotechnologies, and communication & sensing circuits and systems. The goal is to create new complex and hybrid systems ranging from nano- to macro-scale with innovative engineering principles and solutions for a variety of applications including but not limited to healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent transportation, manufacturing, energy, and smart buildings. CCSS encourages research proposals based on emerging technologies and applications for communications and sensing such as high-speed communications of terabits per second and beyond, sensing and imaging covering microwave to terahertz frequencies, personalized health monitoring and assistance, secured wireless connectivity and sensing for the Internet of Things, and dynamic-data-enabled autonomous systems through real-time sensing and learning. Areas managed by CCSS Program Directors (please contact Program Directors listed in the CCSS staff directory for areas of interest): RF Circuits and Antennas for Communications and Sensing RF Communications and Sensing Technologies from kHz to THz Antennas and Wave Propagation for Communications and Sensing Circuits and Systems for Secured Communications and Sensing Trusted Microelectronic Circuits RF Biomedical Applications and Remote Sensing Bio-mimetic Circuits and Systems Dynamic-data-enabled Reconfigurable RF Subsystems through Sensing and Machine Learning Wireless Energy Transfer and RF Energy Harvesting Communication Systems and Signal Processing Wireless, Optical, and Hybrid Communications and Networking Full-duplex, massive MIMO, mm-Wave, and THz communications Spectrum Access and Sharing Integrated Sensing, Communication, and Computational Systems Signal Processing, image processing, and Compressive Sampling Cyber Physical Systems and Hardware-controlled Secured Communications Dynamic-data-enabled Communication Systems through Sensing and Machine Learning Quantum Communication Systems Dynamic Bio-Sensing Systems Micro, Nano, and Bio Systems (MEMS/NEMS) Chemical, Biological, and Physical Diagnostics Sensors, Actuators, and Electronic Interfaces Ultra-Low Power Wearable and Implantable Sensing Systems Dynamic-data-enabled Reconfigurable Sensing Systems Personalized Health Monitoring Systems through Sensing and Machine Learning Neuroengineering and Brain-Inspired Concepts and Designs

With this solicitation, the Division of Chemistry is piloting the removal of deadlines for the submission of proposals to the CLP, CSDM-A and CTMC Programs. The no-deadline pilot seeks to assess the benefits and challenges of removing deadlines in proposal submission for the chemistry research community: the removal of deadlines on proposal submission is intended to allow principal investigators (PIs) more flexibility and better facilitate interdisciplinary research. It may, however, have unanticipated consequences for PIs, reviewers, and institutions. This solicitation applies only to the Chemistry of Life Processes (CLP), Chemical Structure, Dynamics, and Mechanisms-A (CSDM-A) and Chemical Theory, Models and Computational Methods (CTMC) programs. Other than the following exceptions, all proposals submitted to the CLP, CSDM-A, and CTMC programs must be submitted through this solicitation, otherwise they will be returned without review. Exceptions: Faculty Early Career Development Program (CAREER) proposals should be submitted through the CAREER solicitation (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503214) by the CAREER deadline date specified. Facilitating Research at Primarily Undergraduate Institutions: Research in Undergraduate Institutions (RUI) and Research Opportunity Awards (ROA) proposals should be submitted through the RUI/ROA solicitation (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5518). In addition to the requirements of the RUI program, proposals should follow the guidance in this solicitation. Proposals submitted through the RUI/ROA solicitation to the CLP, CSDM-A, and CTMC programs can be submitted at any time starting September 1, 2022. Proposals for Early-concept Grants for Exploratory Research (EAGER), Grants for Rapid Response Research (RAPID), Research Advanced by Interdisciplinary Science and Engineering (RAISE), and conferences can be submitted anytime after consultation with the cognizant NSF Program Officer. Supplemental funding requeststo existing grantscan be submitted anytime after consultation with the cognizant NSF Program Officer.Until this capability is implemented in Research.gov, supplemental funding requestsmust still be prepared and submitted via FastLane.

Materials Research is the field of science where physics, chemistry, materials science, and engineering naturally converge in the pursuit of the fundamental understanding of the properties of materials and the phenomena they host. Materials are abundant and pervasive, serving as critical building blocks in technology and innovation. Materials Research impacts life and society, as it shapes our understanding of the material world and enables significant advances spanning the range from nanoelectronics to health-related fields. The development and deployment of advanced materials are major drivers of U.S. economic growth. Research supported by the Division of Materials Research (DMR) focuses on advancing the fundamental understanding of materials, materials discovery, design, synthesis, characterization, properties, and materials-related phenomena. DMR awards enable understanding of the electronic, atomic, and molecular structures, mechanisms, and processes that govern nanoscale to macroscale morphology and properties; manipulation and control of these properties; discovery of emerging phenomena of matter and materials; and creation of novel design, synthesis, and processing strategies that lead to new materials with unique characteristics. These discoveries and advancements transcend traditional scientific and engineering disciplines. DMR supports research and education activities in the United States through funding of individual investigators, teams, centers, facilities, and instrumentation. Projects supported by DMR are not only essential for the development of future technologies and industries that address societal needs, but also for the preparation of the next generation of materials researchers. Additional Information Eligibility rules apply for submissions; please see Section II. Program Description, Section IV. Eligibility Information, and Section V.A Proposal Preparation Instructions

Administered through the U.S. Cultural Antiquities Task Force, Cultural Property Agreement Implementation Grants support projects that contribute to the implementation of provisions in emergency determinations or cultural property agreements between the United States and foreign governments. This competition is organized through U.S. embassies in countries with which the United States has a signed bilateral cultural property agreement or where emergency import restrictions on archaeological and ethnological material are in effect under the Convention on Cultural Property Implementation Act (19 U.S.C. 2601 et seq). Applications for projects that foster cooperation, build best practices, and engage communities through the following types of activities will be considered: training, inventories, site security and protection, public education and outreach for crime prevention, and supporting sustainable livelihoods.

The CDS&E-MSS program accepts proposals that engage with the mathematical and statistical challenges presented by (1) the ever-expanding role of computational experimentation, modeling, and simulation on the one hand, and (2) the explosion in production and analysis of digital data from experimental and observational sources on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical software tools, and the theory underpinning those tools, that will be essential for addressing these challenges. The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals of interest to the program must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by the Division of Mathematical Sciences. The program welcomes submission of proposals that include multidisciplinary collaborations or provide opportunities for training through research involvement of junior mathematicians or statisticians.This program is part of the wider NSFComputational and Data-enabled Science and Engineering (CDS&E) enterprise.