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Eligibility for the program listed in this NOFO is open to all domestic non-Federal entities. Eligible applicants include accredited institutions of higher education; non-profit organizations; for-profit organizations incorporated in the United States; and state, local, territorial, and Indian tribal governments. Please note that individuals and unincorporated sole proprietors are not considered “non-Federal entities” and are not eligible to apply under this NOFO. Although Federal entities are not eligible to receive funding under this NOFO, they may participate as unfunded collaborators.

Wetland Program Development Grants (WPDGs) assist state, territorial, tribal, local government agencies and interstate/intertribal entities in developing or refining state/ territorial/tribal/local programs which protect, manage, and restore wetlands. The primary focus of these grants is to develop/refine state, territorial, and tribal wetland programs. A secondary focus is to develop/refine local (e.g. county or municipal) programs.

The FY21 RTRP Advanced Technology Development Award is intended to support research critical for the translation of promising preclinical findings into products focused on reconstructive transplantation. Important aspects of this award mechanism include: • Study Design and Feasibility: The proposed study design should be clearly described, rigorous, well-integrated, and support maximal reproducibility and translational feasibility. A statistical plan with appropriate power analysis should be included, if applicable. It should be clear how the proposed study design of this project will position the product for the next phase of development as described in the post-award Transition Plan (Attachment 9). • Impact/Military Relevance: The short- and long-term impact of the proposed research should be clearly articulated. Projects must address at least one of the FY21 RTRP Advanced Technology Development Award Focus Areas listed in Section II.A.1 above. All products to be developed should be responsive to the healthcare needs of military Service Members and/or Veterans recovering from traumatic injury, and/or their family members, caregivers, or clinicians, as well as the general public. Collaboration with military and VA researchers and clinicians is encouraged but not required. • Transition Plan: The post-award Transition Plan (Attachment 9) should include potential funding and resources and show how the product will progress to the next level of development (e.g., clinical trials, delivery to the military or civilian market) after the successful completion of this award. A regulatory strategy as applicable to the proposed research/product should also be included. • Preliminary Data: Proof of concept demonstrating potential utility of the proposed product, or a prototype/preliminary version of the proposed product, must already be established. Preliminary and/or published data that are relevant to reconstructive transplantation, and that support the rationale for the proposed study, must be included (these data may be unpublished if from a member of the research team, or from the published literature). Proposed research and products to be developed may be materiel products such as drugs, biologic agents, or devices, or knowledge-based products such as technical reports and clinical practice guidelines that inform clinical/operational decisions and promote evidence-based changes in clinical practice and standard of care. Proposed research may include animal research and/or human subjects research, as appropriate; however, clinical trials are not allowed under this funding opportunity.

RFI: Technology Advancements for Subsurface Exploration for Renewable Energy Resources or Carbon Storage This is a Request for Information (RFI) only. This RFI is not soliciting application for financial assistance. The purpose of this RFI is solely to solicit input for ARPA-E consideration to inform the possible formulation of future programs. The purpose of this RFI is to solicit input for a potential future ARPA-E research program focused on technologies that enable high-resolution, wide-area subsurface mapping in order to identify opportunities for renewable energy technologies and the future low-carbon economy. Examples where advances in subsurface imaging will be critical include, but are not limited to, locating reservoirs for carbon capture and storage (CCS), identifying new geothermal sites, mapping natural accumulations of energy-relevant minerals, and assessing potential resources of geologic hydrogen. The goal is to better understand how subsurface imaging technologies today may need to expand, adapt, or improve beyond technologies which have been optimized for oil and gas exploration. ARPA-E is seeking information at this time regarding the state of the art in subsurface imaging technologies and transformative and implementable technologies that could: 1. Reduce frontier exploration costs for renewable energy or carbon storage projects by an order of magnitude or more, leveraging advancements in subsurface imaging, data collection, and data processing. For new renewable technologies or CCS projects, identifying potential geologic sites with the requisite properties requires honing in on sites from a much larger region, often in areas that have not been traditionally explored by oil and gas interests and where there is little prior high-quality imaging data. Isolating regions of interest could mean developing new, cost-effective wide-area subsurface exploration technologies, using a combination of imaging techniques paired with multi-physics models, using data processing or novel geostatistical methods to upgrade or augment existing datasets, and/or developing machine learning algorithms which can fill in data gaps. 2. Advance data processing to accommodate larger amounts of data and reduce processing time by orders of magnitude for wide-area and/or nationwide subsurface imaging surveys. 3. Dramatically improve project success rates. Successful technologies would result in outcomes such as reduced incidence of dry wells in geothermal energy projects or identification of new energy-relevant mineral deposits. These outcomes can be facilitated by acquiring higher-quality and/or more comprehensive data in order to discern sites with high probability factors. 4. Monitor dynamic changes in the subsurface over time (4D mapping) with more sensitive surveys techniques, more comprehensive models, and/or algorithms. ARPA-E expects that subsurface changes of interest to renewable energy or CCS projects (e.g. changes in rock morphology, active water-rock chemical reactions, fluid migration, fracture network development, biological processes) may be different than those typically modelled for the oil and gas industry and that current models may need to be expanded to include these processes. 5. Reveal opportunities for interdisciplinary collaboration, combining the expertise of groups that traditionally do not interact, in order to gain a more comprehensive understanding of dynamic geologic processes. To view the RFI in its entirety, please visit https://arpa-e-foa.energy.gov. The information you provide may be used by ARPA-E in support of program planning. THIS IS A REQUEST FOR INFORMATION ONLY. THIS NOTICE DOES NOT CONSTITUTE A FUNDING OPPORTUNITY ANNOUNCEMENT (FOA). NO FOA EXISTS AT THIS TIME.

The FY22 PCARP Translational Research Partnership Award supports partnerships between clinicians and research scientists that will accelerate the movement of promising ideas in pancreatic cancer toward clinical applications. This award supports the development of translational research collaborations between two independent investigators to address a central problem or question in pancreatic cancer in a manner that would be less readily achievable through separate efforts. One partner in the collaboration must function as a research scientist and the other partner as a clinician investigator. It should be clear that both have had equal intellectual input in the design of the research project. Projects involving convergence science partnerships are strongly encouraged. At least one partner must have expertise either in pancreatic cancer research or pancreatic cancer patient care. Inclusion of experts from outside the pancreatic cancer field is encouraged. A proposed project in which the clinical partner merely supplies tissue samples or access to patients will not meet the intent of this award mechanism. Full support for large-scale clinical trials is not expected; retrospective tissue analysis, correlative studies, or small pilot clinical trials are permitted. Significant features of the Translational Research Partnership Award: · Partnership: The success of the project should depend on the unique skills and contributions of each partner. · Translation: The application should provide evidence for the reciprocal transfer of information between basic and clinical science, or vice versa, in developing and implementing the research plan. Translational research may include correlative studies and/or development of or use of annotated biorepositories. The application should demonstrate how the study will leverage clinical information to address knowledge gaps in resulting outcomes, validate key research findings, expand upon potentially transformative results, and/or investigate novel findings. · Impact: The proposed research should indicate the potential to have a significant impact on pancreatic cancer research and/or patient care and have the potential to accelerate the movement of promising ideas (in prevention, diagnosis, detection, prognosis, treatment, and/or survivorship) into clinical applications. · Feasibility: The application should demonstrate that the investigators have access to the necessary specimens, data, and/or intervention, as applicable. · Preliminary Data: Published and/or unpublished results from the laboratory of the Principal Investigators (PIs) or collaborators named on the application that are relevant to pancreatic cancer and the proposed research project, are required. Preliminary data to support the feasibility of the research hypothesis(es) and research approaches are required; however, these data do not necessarily need to be derived from studies of pancreatic cancer. Observations that drive a research idea may be derived from a laboratory discovery, population-based studies, or a clinician’s firsthand knowledge of patients and anecdotal data. The ultimate goal of translational research is to move a concept or observation forward into clinical application that is relevant to active duty Service Members, Veterans, other military beneficiaries, and the American public. However, translational research should not be viewed as a one-way continuum from bench to bedside. The research plan must involve a reciprocal flow of ideas and information between basic and clinical science. There should be an intellectual synergistic partnership between the clinic and the laboratory. The success of the project must be supported by the unique skills and contributions of each partner. The proposed study must include clearly stated plans for interactions between the PIs and the institutions involved. The plans must include communication, coordination of research progress and results, and data transfer. Additionally, multi-institutional applications must provide an intellectual property plan to resolve potential intellectual and material property issues and to remove institutional barriers that might interfere with achieving high levels of cooperation to ensure the successful completion of this award. The Translational Research Partnership Award requires two PIs. One will be identified as the Initiating PI and will be responsible for the majority of the administrative tasks associated with application submission. The other will be identified as a Partnering PI. Both PIs should contribute significantly to the development of the proposed research project, including the Project Narrative, Statement of Work (SOW), and other required components. If recommended for funding, each PI will be named to an individual award within the recipient organization. For individual submission requirements for the Initiating and Partnering PIs, refer to Section II.D.2, Content and Form of the Application Submission. It is the responsibility of the PIs to describe how their combined expertise will better address the research question and explain why the work should be done together rather than through separate efforts.

The Exploration - Hypothesis Development Research Award supports the initial exploration of innovative, high-risk, high-gain, and potentially groundbreaking concepts in the MS research field. The studies supported by this award mechanism are expected to lay the groundwork for future avenues of scientific investigation. The proposed research project should include a well-formulated, testable hypothesis based on strong scientific rationale and study design. The presentation of preliminary and/or published data is not required. The proposed research project must be innovative. Innovative research may examine a novel paradigm, challenge current paradigms, look at existing problems from novel perspectives, or exhibit other highly creative qualities. Research that is an incremental advance beyond ongoing research and published data is not considered innovative and is not consistent with the intent of this award mechanism. It is the responsibility of the Principal Investigator (PI) to clearly and explicitly articulate how the proposed research project is innovative in the field of MS research.

The Community Assistance Program - State Support Services element (CAP-SSSE) program provides funding to States to provide technical assistance to communities in the National Flood Insurance Program (NFIP) and to evaluate community performance in implementing NFIP floodplain management activities. Designation, duties, and responsibilities of State Coordinating Agencies are found in 44 CFR 60.25. These regulations identify the states commitment to the minimum floodplain management criteria and to demonstrate the capability and responsibility to implement the program. In this way, CAP-SSSE helps to; ensure that the flood loss reduction goals of the NFIP are met, build state and community floodplain management expertise and capability, and leverage state knowledge and expertise in working with their communities.

The H6 program seeks to develop ultra-small, low-power, fieldable clocks that can maintain their timing precision for one week.

The close date above is the date for the Step-1 proposal submission. See the solicitation for the Step-2 due date. Step-2 proposals cannot be submitted if a Step-1 proposal was not submitted. Proposers must retrieve the instructions document (zip file) associated with the application package for this opportunity as there is at least one required form that must be attached to the submitted proposal package. The National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) released its annual omnibus Research Announcement (NRA), Research Opportunities in Space and Earth Sciences (ROSES) – 2022 (OMB Approval Number 2700-0092, CFDA Number 43.001) on February 14, 2022. In this case "omnibus" means that this NRA has many individual program elements, each with its own due dates and topics. All together these cover the wide range of basic and applied supporting research and technology in space and Earth sciences supported by SMD. Awards will be made as grants, cooperative agreements, contracts, and inter- or intra-agency transfers, depending on the nature of the work proposed, the proposing organization, and/or program requirements. However, most extramural research awards deriving from ROSES will be grants, and many program elements of ROSES specifically exclude contracts, because contracts would not be appropriate for the nature of the work solicited. The typical period of performance for an award is three years, but some programs may allow up to five years and others specify shorter periods. In most cases, organizations of every type, Government and private, for profit and not-for-profit, domestic and foreign (with some caveats), may submit proposals without restriction on teaming arrangements. Tables listing the program elements and due dates, the full text of the ROSES-2022 solicitation, and the "Summary of Solicitation" as a stand-alone document, may all be found NSPIRES at http://solicitation.nasaprs.com/ROSES2022. This synopsis is associated with one of the individual program elements within ROSES, but this is a generic summary that is posted for all ROSES elements. For specific information on this particular program element download and read the PDF of the text of this program element by going to Tables 2 or 3 of this NRA at http://solicitation.nasaprs.com/ROSES2022table2 and http://solicitation.nasaprs.com/ROSES2022table3, respectively, click the title of the program element of interest, a hypertext link will take you to a page for that particular program element. On that page, on the right side under "Announcement Documents" the link on the bottom will be to the PDF of the text of the call for proposals. For example, if one were interested in The Lunar Data Analysis Program (NNH22ZDA001N-LDAP) one would follow the link to the NSPIRES page for that program element and then to read the text of the call one would click on “C.8 Lunar Data Analysis (.PDF)” to download the text of the call. If one wanted to set it into the context of the goals, objectives and know the default rules for all elements within Appendix C, the planetary science division, one might download and read “C.1 Planetary Science Research Program Overview (.PDF)” from that same page. While the letters and numbers are different for each element within ROSES (A.12, B.7, etc.) the basic configuration is always the same, e.g., the letter indicates the Science Division (A is Earth Science, B is Heliophysics etc.) and whatever the letter, #1 is always the division overview. Frequently asked questions for ROSES are posted at http://science.nasa.gov/researchers/sara/faqs. Questions concerning general ROSES-2022 policies and procedures may be directed to Max Bernstein, Lead for Research, Science Mission Directorate, at sara@nasa.gov, but technical questions concerning specific program elements should be directed to the point(s) of contact for that particular element, who may be found either at the end of the individual program element in the summary table of key information or on the web list of topics and points of contact at: http://science.nasa.gov/researchers/sara/program-officers-list. Not all program elements are known at the time of the release of ROSES. To be informed of new program elements or amendments to this NRA, proposers may subscribe to: (1) The SMD mailing lists (by logging in at http://nspires.nasaprs.com and checking the appropriate boxes under "Account Management" and "Email Subscriptions"), (2) The ROSES-2022 RSS feed for amendments, clarifications, and corrections to at http://science.nasa.gov/researchers/sara/grant-solicitations/ROSES-2022, and (3) The ROSES-2022 due date Google calendars (one for each science division). Instructions are at https://science.nasa.gov/researchers/sara/library-and-useful-links (link from the words due date calendar).

This FOA will support integrated, interdisciplinary research teams that focus on examining dynamic circuit functions related to behavior, using advanced and innovative technologies. The FOA will support programs with a necessarily-synergistic, team science approach. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should incorporate overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a framework that will be developed and used in the proposed U19 project and exchanged with other BRAIN U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Programs should employ multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration. Applicants proposing to include human subjects with invasive neural recording must apply to the companion FOA, RFA-NS-XX-XXX.