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The Established Program to Stimulate Competitive Research (EPSCoR) is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. NSF EPSCoR facilitates the establishment of partnerships among academic institutions, government, industry, and non-profit sectors that are designed to promote sustainable improvements in an EPSCoR-eligible jurisdiction’s research infrastructure, Research and Development (R&D) capacity, and R&D competitiveness. Eligibility to participate in NSF EPSCoR funding opportunities, including the EPSCoR Workshop Opportunities program, is described on the EPSCoR website (see criteria for eligibility link). EPSCoR welcomes proposals for workshops only from institutions within EPSCoR-eligible jurisdictions (i.e. states, territories, commonwealths). These workshops must focus on innovative ways to address multi-jurisdictional efforts on themes of regional or national importance with relevance to the goals and mission of NSF and EPSCoR.

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The principal objective of the NOAA Great Lakes Fish Habitat Restoration Partnership Grants competition is to provide federal financial and technical assistance to habitat restoration projects that meet NOAA's mission to restore coastal habitats and support the Great Lakes Restoration Initiative (GLRI) (https://www.epa.gov/sites/default/files/2019-10/documents/glri-action-plan-3-201910-30pp.pdf) goal to protect and restore habitats to sustain healthy populations of native fish species in the eight U.S. Great Lakes states. Proposals submitted under this solicitation will be evaluated based on alignment with our program priorities, including: 1) contribution to GLRI Focus Area 1 (Toxic Substances and Areas of Concern) goals to implement management actions within Areas of Concern (AOC), and 2) contribution to GLRI Focus Area 4 (Habitats and Species) goals to restore habitat for native Great Lakes fish species whose populations have been impacted by habitat degradation. Through this solicitation, we intend to address GLRI Focus Area 4 goals by prioritizing a subset of habitat restoration projects identified by the Lake Committees as Environmental Priorities to meet fish community objectives for Great Lakes fish species. Lake Committees are composed of senior officials from state, provincial, and U.S. intertribal fishery agencies, convened by the Great Lakes Fishery Commission. Together, they are responsible for managing the Lakes’ fisheries and developing plans and guidance to sustain healthy populations of Great Lakes commercial and recreational fish species. *Please note that...

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Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, propo...

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