Represents Grant table in the DB

GET /v1/grants?page%5Bnumber%5D=1384&sort=awardee_organization
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/vnd.api+json
Vary: Accept

{
    "links": {
        "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=awardee_organization",
        "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=awardee_organization",
        "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=awardee_organization",
        "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=awardee_organization"
    },
    "data": [
        {
            "type": "Grant",
            "id": "14505",
            "attributes": {
                "award_id": "2203042",
                "title": "PostDoctoral Research Fellowship",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)",
                    "Workforce (MSPRF) MathSciPDFel"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 2352,
                        "first_name": "Stefaan De",
                        "last_name": "Winter",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-08-01",
                "end_date": null,
                "award_amount": 150000,
                "principal_investigator": {
                    "id": 31144,
                    "first_name": "Claire",
                    "last_name": "Frechette",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2470,
                    "ror": "",
                    "name": "Frechette, Claire E",
                    "address": "",
                    "city": "",
                    "state": "MN",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This award is made as part of the FY 2022 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Claire Frechette is \"Whittaker Coefficients for Metaplectic Unitary Groups.\" The host institution for the fellowship is Boston College, and the sponsoring scientist is Solomon Friedberg.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14507",
            "attributes": {
                "award_id": "2052844",
                "title": "EAR-PF: Impact of flooding intensity on levee development and dynamics",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Geosciences (GEO)",
                    "XC-Crosscutting Activities Pro"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 9801,
                        "first_name": "Aisha",
                        "last_name": "Morris",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-06-01",
                "end_date": null,
                "award_amount": 174000,
                "principal_investigator": {
                    "id": 31146,
                    "first_name": "Eric",
                    "last_name": "Barefoot",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2471,
                    "ror": "",
                    "name": "Barefoot, Eric A",
                    "address": "",
                    "city": "",
                    "state": "TX",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).&lt;br/&gt;&lt;br/&gt;Dr. Eric Barefoot has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at Indiana University.  Dr. Barefoot will study flooding, a significant natural hazard that threatens critical infrastructure and communities in the US and across the world. Artificial embankments (or dikes) along river corridors are often constructed to reduce flooding hazards and these engineering projects often take advantage of natural levees on the floodplain. Levees form next to a river channel when the river floods and sediment spreads out away from the river. Because levee formation correlates poorly with river attributes, it remains challenging to predict where and when levees will form. This project seeks to test a new hypothesis: that the intensity of floods is a key control on levee formation. By combining analysis of floodplains across the State of Indiana with monitoring on the Lower Mississippi River, this project will determine the importance of flood intensity for levee formation. Dr. Barefoot will also identify processes by which sediment is transported on river floodplains during floods. These research outcomes will be coupled with an educational outreach plan that focuses on engaging public-school educators to produce new curriculum focused on flood hazards and sustainability in Indiana. Additionally, this project will bolster STEM engagement for LGBTQ+ undergraduate students through local field-based research opportunities. &lt;br/&gt;&lt;br/&gt;Natural levees form and develop during overbank flow, when sediment-laden water decants from the river, and deposits adjacent to the channel. The pattern of sediment deposition is controlled by water surface gradients across the inundated floodplain. The orientation and mag- nitude of water surface gradients are hypothesized to depend on flooding intensity; operationally defined here as the coefficient of variation of discharge (CVQ). However, the impact of flooding intensity on floodplain deposition is poorly constrained because direct observations of co-evolving floodplain topography and inundation hydraulics are scarce. This project will quantify the impact of flooding intensity on floodplain inundation patterns and analyze how resulting water surface gradients influence levee formation and development. This research will combine repeat lidar datasets with field surveys and sedimentological observations on floodplains in Indiana, USA, to compare levee morphology and composition spanning a range of historical flooding intensities. To link flooding intensity and sediment dispersal in a mechanistic framework, a complementary case study will be conducted in an end-member locality typified by low flooding intensity. In-situ measurements of water surface elevation and velocity during annual overbank conditions in an engineered section of the Mississippi River will be paired with repeat lidar topography surveys to couple inundation hydraulics with topographic evolution. New insights from this project will fill a critical research need because intensified flooding due to contemporary climate change threatens sustainability of river corridors. The scientific outcomes will inform land management strategies while also driving fundamental advances in sedimentology and geomorphology.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14533",
            "attributes": {
                "award_id": "2410621",
                "title": "Establishing an Environmental and Natural Resources Technology Center",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Directorate for STEM Education (EDU)",
                    "Advanced Tech Education Prog"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 692,
                        "first_name": "Virginia",
                        "last_name": "Carter",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-01-01",
                "end_date": null,
                "award_amount": 7495172,
                "principal_investigator": {
                    "id": 31174,
                    "first_name": "Andrew",
                    "last_name": "McMahan",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2472,
                    "ror": "https://ror.org/007x12q48",
                    "name": "Central Carolina Community College",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Environmental Technologies (ET) is a career field that applies math, science, technology, economics, engineering, law and communication to manage, protect and sustain natural resources and to ensure human health and safety. Environmental technicians are a part of homeland security in the protection of our country’s air, water and soil and an important part of the major environmental issues of global warming and water pollution. ET will also reshape pedagogy and hands-on delivery of learning in the post-COVID “new normal,” as well as become part of the solution for health and safety issues in the workplace following any other infectious disease pandemic. ET jobs cannot be outsourced and survive economic downturn. Major industries that employ environmental technicians include engineering services, local and state government, consulting services, public health agencies, manufacturing and remediation services, and there are immediate needs for Environmental technicians across all of these sectors. The Environmental and Natural Resources Technology Center will synthesize the cross-disciplinary efforts of ET-related sectors and collaborate with industries, government and public agencies, professional organizations, 2- and 4-year colleges, and high schools to define and disseminate the critical knowledge and skills required to provide leadership in ET education and support the environmental advanced technology industry.<br/><br/>To achieve this mission, the Center will pursue several objectives. First is to create a Leadership Network to support the development and sharing of best practices in ET workforce development. Second is to establish collaborations between existing and new ATE projects in ET fields to mentor prospective PIs and broaden the impact of ATE. Third is to provide models and leadership for collaborations among secondary, 2- and 4-year institutions, business and industry, economic development agencies and government. Fourth is to promote ET careers while also addressing the need to educate highly skilled technicians and to provide faculty professional development. Fifth is to develop institutionalization of Center functions to sustain activities in the post-award period. The Center will actively reach out to all learners, including women, those from minorities who are underrepresented in their participation in STEM, those facing economically challenging circumstances, first generation students, and those from Tribal and/or rural backgrounds. The Center's planned deliverables include DACUM charts with occupational competencies; a Defining ET Report; a Best Practices Guide for Recruiting, Retaining, and Completing Students in ET Fields targeting URM, female, military, and indigenous students; a set of interactive career websites; and AVR learning modules. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14548",
            "attributes": {
                "award_id": "2222232",
                "title": "STTR Phase I:  Development of an Innovative Ultra High Performance Concrete Foundation System with Bio-inspired Surfaces to Support Renewable Offshore Wind Turbines",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "STTR Phase I"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 28721,
                        "first_name": "Ela",
                        "last_name": "Mirowski",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2023-01-15",
                "end_date": null,
                "award_amount": 274956,
                "principal_investigator": {
                    "id": 31192,
                    "first_name": "JP",
                    "last_name": "Binard",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 31191,
                        "first_name": "Muhannad T",
                        "last_name": "Suleiman",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 2473,
                    "ror": "",
                    "name": "Precast Systems Engineering, LLC",
                    "address": "",
                    "city": "",
                    "state": "VA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact of this Small Business Technology Transfer (STTR) Phase I project is to develop a marketable and cost-effective U.S. manufactured foundation system to support offshore wind turbines (OWTs). The planned offshore wind energy production in the U.S. has been growing rapidly and the industry is expected to be worth more than $1 trillion within the next two decades. Although only 42 megawatts (MW) of offshore wind energy were installed in the U.S. during the last 10 years, planned projects have been growing rapidly targeting 30 gigawatts (GW) by 2030 and 110 GW by 2050, with strong support from coastal states. Achieving the targets of offshore wind energy requires cost-effective and innovative components of these energy systems. One of the main costs for offshore wind energy systems is their foundations, with costs typically ranging from 14% to 34% of the overall project cost. OWTs are commonly supported on large-diameter foundations, which the U.S. does not have the capability to fabricate and instead relies on foundations fabricated abroad. Therefore, a U.S.-manufactured foundation system to support renewable offshore wind energy infrastructure, enhance domestic supply chains, and reduce dependency on foreign manufactured foundations is proposed. The result of this research is a U.S.-manufactured alternative with savings of over half the cost per meter, enabling wider adoption of alternative energy harnessing technologies.<br/><br/><br/>The goal of the proposed project is to develop a U.S.-manufactured, bio-inspired, enhanced capacity foundation system to support offshore wind energy infrastructure that provides technical improvements and cost-saving to currently used systems. The proposed project also provides: (1) ease of adoption by providing similar weight and installation approaches to current means and methods; (2) better durability and longer service life than currently used OWT foundations; and (3) improved speed of construction promoting scalability. Furthermore, the proposed system will allow for optimized design, increasing the foundation capacity and improving the installation process.  Preliminary tests show that the proposed design could improve the foundation capacity by up to 100% compared to that of the currently used foundation systems when subjected to long-term cyclic loading similar to those experienced by OWTs.  The proposed concept could be used as a driven pile, suction caisson, anchors, or gravity base providing several options for the offshore wind energy industry in the U.S. To achieve the project goal, this research will focus on: (1) verification of key material properties for marine environmental conditions, (2) structural design of foundation cross-sections, (3) installation analyses on proposed foundations in marine environments; and (4) investigations of the effects of the bio-inspired design on foundation capacity.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14550",
            "attributes": {
                "award_id": "2228858",
                "title": "Conference on Strengthening Community in Research Mathematics",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Mathematical and Physical Sciences (MPS)",
                    "INFRASTRUCTURE PROGRAM"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 8065,
                        "first_name": "Tomek",
                        "last_name": "Bartoszynski",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-09-01",
                "end_date": null,
                "award_amount": 64920,
                "principal_investigator": {
                    "id": 31195,
                    "first_name": "Ami",
                    "last_name": "Radunskaya",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 31193,
                        "first_name": "Tyler R",
                        "last_name": "Billingsley",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    },
                    {
                        "id": 31194,
                        "first_name": "Alexander J",
                        "last_name": "Barrios",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 2474,
                    "ror": "https://ror.org/0074grg94",
                    "name": "Pomona College",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The Conference on Strengthening Community in Research Mathematics will take place February 17-18, 2023 in Claremont, California.  The conference will strengthen the mathematical research community by gathering researchers in cutting-edge mathematics,  highlighting the strategic role and importance of our professional organizations, and by disseminating successful strategies to enable mathematicians from traditionally underrepresented groups to flourish. The conference will not only enhance the flow of talent into the mathematics research community but  also help upgrade the demographic reach and capabilities of the entire STEM pipeline. <br/><br/>The conference will achieve its goals in several ways.  General audience research talks will be in the core fields of number theory and algebraic geometry and will be designed to facilitate future collaborations while providing a supportive environment for young mathematicians from underserved backgrounds to experience the beauty and power of number theory and algebraic geometry. We will also address relevant questions that undergraduate and graduate students have about the profession with talks and panel discussions on the graduate school admission and matriculation process, navigating the mathematical discipline as a member of a currently underrepresented group, the multitude of career opportunities that one can pursue with a graduate degree in mathematics, and managing academic and nonacademic job ladders. Faculty will in turn participate in talks and panel discussions that address mentoring students from underrepresented groups and how to engage undergraduates in their research.  For more information, visit the conference web-page <br/>https://www.pomona.edu/academics/departments/mathematics-statistics/events-colloquia/conference-strengthening-community-research-mathematics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14556",
            "attributes": {
                "award_id": "2052944",
                "title": "EAR-PF In-situ and bulk sulfur isotope constraints on crustal recycling: a bridged investigation of superdeep diamonds and ocean island basalts",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Geosciences (GEO)",
                    "Postdoctoral Fellowships"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 9801,
                        "first_name": "Aisha",
                        "last_name": "Morris",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2022-01-01",
                "end_date": null,
                "award_amount": 174000,
                "principal_investigator": {
                    "id": 31202,
                    "first_name": "James",
                    "last_name": "Dottin",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2475,
                    "ror": "",
                    "name": "Dottin, James Wosley",
                    "address": "",
                    "city": "",
                    "state": "MD",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Dr. James W. Dottin III has been awarded an NSF EAR Postdoctoral Fellowship to pursue research and education endeavors at the Carnegie Institution for Science-Earth and Planets Laboratory (CIS-EPL) under the mentorship of Dr. Steven Shirey and Dr. Michael Walter. The Earth’s crust, which can be transferred from the surface to the interior of Earth through plate tectonics, provides many of the chemical elements that control the habitability of life on our planet. However, the detailed nature, relative ages of the various crustal materials, and where they ultimately reside in the Earth’s interior are not well understood. For this project, Dr. Dottin will use chemical signatures (specifically those of the element sulfur) measured in rocks and minerals erupted from the deep interior of the Earth to provide insight into the finer details of plate tectonics. Dr. Dottin’s work involves analyzing rocks and diamonds that come from different parts of the Earth’s interior to determine how elements found in the crust move around and are distributed across the globe. The proposed research will use unique characteristics of sulfur to identify specific crustal materials that are recycled through the Earth’s interior and provide relative constraints on the timescales on which crustal recycling occurs. Dr. Dottin will also lead an education program that incorporates students from historically underrepresented minority groups directly into the research project. Student involvement will take form through a strong collaboration with Smith College, a women’s college in Massachusetts. Dr. Dottin also plans to engage with students that will be actively recruited from local high schools and the many Historically Black Colleges and Universities in the Washington, D.C. area as a mentor and advisor through a summer internship program at CIS-EPL.<br/> <br/>The Earth’s mantle is compositionally heterogeneous, comprising geochemically distinct reservoirs from the process of crust extraction and recycling of crust into the mantle. The HIMU (high μ=238U/204Pb) mantle reservoir is an enigmatic endmember with extreme Pb-isotopic compositions, and is postulated to be composed of subducted altered oceanic crust that is associated with a carbonated component. However, the nature, origin, and global distribution of the components that make up the HIMU mantle remain poorly understood. For this project, Dr. Dottin will combine sulfur isotope information from key HIMU basalts and from sulfide inclusions in superdeep diamonds using microbeam and bulk digestion techniques. Dr. Dottin aims to trace the global distribution and interaction of recycled protoliths in HIMU mantle reservoirs that are thought to reside at the base of the mantle and/or within the mantle transition zone. The proposed analytical techniques, choice of key HIMU basalts, and choice of sulfides from transition zone diamonds offers an opportunity to address the potential isotopic heterogeneities that exist among mineral, hand sample, and global scales. From this work, Dr. Dottin plans to provide insight into the finer details of plate tectonics through constraints of source heterogeneity among HIMU mantle reservoirs and the proposed depth of slab accumulation that is possibly linked to the age of the reservoir and/or hotspot location.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14557",
            "attributes": {
                "award_id": "2127355",
                "title": "SBIR Phase II:  Automation of a Novel Low Cost Aluminum Additive Manufacturing Method",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "SBIR Phase II"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 28721,
                        "first_name": "Ela",
                        "last_name": "Mirowski",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-12-01",
                "end_date": null,
                "award_amount": 1000000,
                "principal_investigator": {
                    "id": 31203,
                    "first_name": "Alison",
                    "last_name": "Forsyth",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2476,
                    "ror": "",
                    "name": "ALLOY ENTERPRISES INC.",
                    "address": "",
                    "city": "",
                    "state": "MA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact of this Small Business Innovation Research (SBIR) Phase II project is to improve aluminum additive manufacturing (AM). AM remains of great interest to original equipment manufacturers (OEMs) for its promise of producing parts on-demand; however, low throughput and high costs of aluminum powder limit adoption. The proposed technology produces consistent parts with established alloys, such as the commonly used 6061 aluminum alloy. These alloys have immediate commercial applications in servicing legacy equipment parts and for making vehicles more lightweight, thus improving efficiency and reducing carbon emissions. Further, this technology can support low-to-medium production volumes, allowing smaller manufacturers to take advantage of AM as a platform for innovation.  <br/><br/>This Small Business Innovation Research (SBIR) Phase II project aims to deliver on-demand production at the unit cost of casting. The research objectives will optimize core processes for a novel aluminum metal-to-metal sheet bonding technology, and achieve process automation. This technology provides on-demand parts with high strength wrought alloy properties and the capability to design innovative components that could not be previously considered with traditional manufacturing processes. The anticipated results are improved material and mechanical properties, system integration, and increased throughput and part complexity.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14567",
            "attributes": {
                "award_id": "2404627",
                "title": "STTR Phase I:  Development of Thermostable Formulations of mRNA Vaccines and Therapeutics",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Technology, Innovation and Partnerships (TIP)",
                    "STTR Phase I"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 936,
                        "first_name": "Henry",
                        "last_name": "Ahn",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-03-01",
                "end_date": null,
                "award_amount": 274991,
                "principal_investigator": {
                    "id": 31218,
                    "first_name": "Harrison",
                    "last_name": "Wooten",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [
                    {
                        "id": 31217,
                        "first_name": "Antje P",
                        "last_name": "Almeida",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "awardee_organization": {
                    "id": 2477,
                    "ror": "",
                    "name": "DURAVAX INC",
                    "address": "",
                    "city": "",
                    "state": "NC",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to overcome the cold-chain limitation for messenger ribonucleic acid (mRNA) therapy. Besides the COVID-19 mRNA vaccines developed by Moderna and Pfizer, many other mRNA vaccines and drugs are under development for treating cancers and infectious diseases, gene therapy, and cell therapy. The average global revenue of mRNA therapy in the next decade is projected to be ~$18 billion annually. One main bottleneck for the distribution of mRNA therapy products is the poor stability of the mRNA drug products, which results in high cold-chain costs, big wastage, and limited accessibility to rural areas. The thermostable mRNA formulation technology developed in this project will help pharmaceutical companies to save multi-billion dollars per year associated with low stability and expand the market to the rural US and tropical countries. The thermostable formulations will make the revolutionary mRNA vaccines and drugs accessible to the approximately 60 million rural population in the US and the approximately 3 billion people living in tropical countries without adequate cold-chain facilities. Expansion of the market will also lead to more affordable prices of mRNA therapy products for low-income, especially uninsured, families.<br/><br/>This Small Business Technology Transfer (STTR) Phase I project will provide a low-cost and scalable solution to eliminate the cold-chain challenges in the distribution of mRNA active pharmaceutical ingredient (API) and mRNA lipid-nanoparticles (mRNA-LNPs) drug products. mRNAs and mRNA-LNPs in aqueous solutions undergo degradation through various pathways. Currently, the only way to increase their stability without freezing is to remove water by lyophilization, which requires additional facility, costs, time, and process development. This STTR Phase I project aims to test the feasibility to store the thermostable liquid formulations of mRNAs and mRNA-LNPs at room temperature for transportation and long-term storage. The research plan is designed towards two objectives: (1) To demonstrate mRNA APIs with various lengths in the optimized granule formulations retain >90% activity after transportation at 20ºC for more than two weeks; (2) To demonstrate that the optimized thermostable formulations of mRNA-LNP drug products retain >90% activity after storage at 20ºC for more than six months and 50ºC for up to 7 days during tropical outdoor transportation. Completing the Phase I project will provide the evidence to support that thermostability of the proprietary mRNA and mRNA-LNP formulations can meet the industrial requirement.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14570",
            "attributes": {
                "award_id": "49100421C0035",
                "title": "FACT CHAMPION - Fact-checker, Activist, and Academic Collaboration Tools: Combatting Hate & Abuse towards Minorities as well as Misinformation & Propaganda In Online Networks",
                "funder": {
                    "id": 3,
                    "ror": "https://ror.org/021nxhr62",
                    "name": "National Science Foundation",
                    "approved": true
                },
                "funder_divisions": [
                    "Unknown",
                    "Convergence Accelerator Resrch"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 31221,
                        "first_name": "Michael",
                        "last_name": "Pozmantier",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2021-09-15",
                "end_date": null,
                "award_amount": 749974,
                "principal_investigator": {
                    "id": 31222,
                    "first_name": "Scott",
                    "last_name": "Hale",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2478,
                    "ror": "",
                    "name": "Meedan, Inc.",
                    "address": "",
                    "city": "",
                    "state": "CA",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Fact-checker, Academic, and Community Collaboration Tools: Combating Hate, Abuse, and Misinformation with Minority-led Partnerships (FACT CHAMP) will build the tools and infrastructure to enable state-of-the-art research and practice to curb misinformation online. Our platform, FACT, will streamline and facilitate collaboration of fact-checkers, NGOs, researchers, and community leaders—particularly those from minority groups. FACT will allow practitioners and community leaders to share misinformation data and research challenges securely with academics. At the same time it will also allow academic solutions to be more easily used in practice.     FACT CHAMP includes a convergence of social science and computer science research and a range of non-profit, startup, industry, and academic partners. We will conduct in-depth ethnographic-inspired research in close partnership with Asian American and Pacific Islander communities where racially-targeted misinformation and hate speech have surged in the wake of COVID-19. We will also conduct three proof-of-concept activities to understand how we can best enable deep and meaningful collaboration between researchers, fact-checkers, and community leaders to combat hate, abuse, and misinformation. Through these activities, we will advance research on detection of controversy and hateful content, improve our understanding of hate speech and misinformation, and, most importantly, iteratively develop new tools and adapt existing ones to create collaboration infrastructure aligned with the needs of our stakeholders.",
                "keywords": [],
                "approved": true
            }
        },
        {
            "type": "Grant",
            "id": "14584",
            "attributes": {
                "award_id": "1R43DK138702-01A1",
                "title": "Inhibitors of Thromboinflammation for Acute Kidney Injury",
                "funder": {
                    "id": 4,
                    "ror": "https://ror.org/01cwqze88",
                    "name": "National Institutes of Health",
                    "approved": true
                },
                "funder_divisions": [
                    "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)"
                ],
                "program_reference_codes": [],
                "program_officials": [
                    {
                        "id": 24597,
                        "first_name": "DANIEL ROBERT",
                        "last_name": "GOSSETT",
                        "orcid": null,
                        "emails": "",
                        "private_emails": "",
                        "keywords": null,
                        "approved": true,
                        "websites": null,
                        "desired_collaboration": null,
                        "comments": null,
                        "affiliations": []
                    }
                ],
                "start_date": "2024-05-15",
                "end_date": "2026-04-30",
                "award_amount": 325000,
                "principal_investigator": {
                    "id": 31249,
                    "first_name": "Christopher",
                    "last_name": "Dockendorff",
                    "orcid": null,
                    "emails": "",
                    "private_emails": "",
                    "keywords": null,
                    "approved": true,
                    "websites": null,
                    "desired_collaboration": null,
                    "comments": null,
                    "affiliations": []
                },
                "other_investigators": [],
                "awardee_organization": {
                    "id": 2479,
                    "ror": "",
                    "name": "FUNCTION THERAPEUTICS, INC.",
                    "address": "",
                    "city": "",
                    "state": "WI",
                    "zip": "",
                    "country": "United States",
                    "approved": true
                },
                "abstract": "Enter the text here that is the new abstract information for your application. This section must be no longer than 30 lines of text. Acute kidney injury (AKI) is the sudden and dangerous loss of kidney function that causes significant morbidity and mortality. A significant fraction of patients undergoing major surgery suffer from AKIs, particularly cardiac patients, with >10% probability of AKI frequently reported. Almost half of hospitalized COVID patients suffered from dangerous (and often deadly) AKIs early in the pandemic, and certain anti-cancer therapies and anti-infectives are known to cause AKIs. AKIs extend hospitalization, and even when kidney function returns to more normal levels, patients suffering from AKIs are at much greater risk of developing chronic kidney disease. Presently, there are no drugs approved by the FDA for the prevention of AKI. Function Therapeutics and its collaborating labs have discovered a new class of antithrombotic and anti-inflammatory small molecules that are biased, allosteric modulators of signaling by the thrombin receptor, protease-activated receptor 1 (PAR1). These compounds, called parmodulins, act to inhibit thromboinflammation by biasing PAR1 signaling towards an anti-inflammatory pathway. They have achieved promising results with in vitro and in vivo models of disease, including infection-promoted thrombosis, coronary ischemia-reperfusion injury, sickle cell disease, and diabetic kidney disease. We hypothesize that their effects may be ideal for the prevention and treatment of AKI in at risk patients. The objectives of this project are to 1) Optimize current lead series of parmodulins with the potential to meet a Target Product Profile suitable for hospitalized patients at risk for AKI; 2) Validate that parmodulins are efficacious in a mouse model of ischemic AKI. Parmodulins will be designed, synthesized, and tested in primary and secondary in vitro assays in an iterative fashion. Drug-like profiling, including cytotoxicity, solubility, and stability assays, will be used to identify promising parmodulins for further safety and pharmacokinetic studies. Several optimal examples will ultimately undergo efficacy studies in a mouse model of ischemic AKI, using a protocol for bilateral ischemia-reperfusion injury in the lab of Dr. James George in the O’Brien Center for Acute Kidney Injury at the University of Alabama at Birmingham. This project will help to advance a unique approach to the treatment of AKI towards clinical stages.",
                "keywords": [
                    "Academia",
                    "Acute Renal Failure with Renal Papillary Necrosis",
                    "Alabama",
                    "Anti-Infective Agents",
                    "Anti-Inflammatory Agents",
                    "Anticoagulants",
                    "Apoptosis",
                    "Bilateral",
                    "Biological Assay",
                    "COVID-19 patient",
                    "Cardiac",
                    "Chronic Kidney Failure",
                    "Clinical",
                    "Coagulation Process",
                    "Collaborations",
                    "Cytoprotection",
                    "Cytotoxin",
                    "Dangerousness",
                    "Data",
                    "Development",
                    "Diabetic Nephropathy",
                    "Doctor of Medicine",
                    "Doctor of Philosophy",
                    "Dose",
                    "Drug Kinetics",
                    "Endothelial Cells",
                    "Endothelium",
                    "Enzymes",
                    "Event",
                    "FDA approved",
                    "Future",
                    "G-Protein-Coupled Receptors",
                    "Hospitalization",
                    "Hospitals",
                    "In Vitro",
                    "Infection",
                    "Inflammatory",
                    "Injury",
                    "Injury to Kidney",
                    "Investigation",
                    "Ischemia",
                    "Kidney Diseases",
                    "Lead",
                    "Leadership",
                    "Liver Microsomes",
                    "Measures",
                    "Modeling",
                    "Morbidity - disease rate",
                    "Mus",
                    "Myocardial Ischemia",
                    "Operative Surgical Procedures",
                    "PAR-1 Receptor",
                    "Pathologic",
                    "Pathway interactions",
                    "Patients",
                    "Peptide Hydrolases",
                    "Pharmaceutical Chemistry",
                    "Pharmaceutical Preparations",
                    "Plasma",
                    "Prevention",
                    "Privatization",
                    "Probability",
                    "Process",
                    "Property",
                    "Protocols documentation",
                    "Recommendation",
                    "Renal function",
                    "Reperfusion Injury",
                    "Reperfusion Therapy",
                    "Reporting",
                    "Research",
                    "Risk",
                    "Route",
                    "Safety",
                    "Series",
                    "Sickle Cell Anemia",
                    "Signal Transduction",
                    "Solubility",
                    "Staurosporine",
                    "Systemic infection",
                    "Testing",
                    "Text",
                    "Therapeutic",
                    "Thrombin",
                    "Thrombin Receptor",
                    "Thrombosis",
                    "Trauma",
                    "Universities",
                    "Validation",
                    "activated Protein C",
                    "analog",
                    "anti-cancer",
                    "cancer therapy",
                    "chemotherapy",
                    "cytotoxicity",
                    "design",
                    "disease model",
                    "drug discovery",
                    "efficacy study",
                    "experience",
                    "improved",
                    "in vitro Assay",
                    "in vivo",
                    "in vivo Model",
                    "inhibitor",
                    "kidney cell",
                    "lead series",
                    "meetings",
                    "member",
                    "mortality",
                    "mouse model",
                    "nanomolar",
                    "novel",
                    "pandemic disease",
                    "pharmacologic",
                    "preclinical development",
                    "prevent",
                    "programs",
                    "protective effect",
                    "renal ischemia",
                    "response",
                    "small molecule",
                    "stroke therapy",
                    "thromboinflammation",
                    "thrombotic"
                ],
                "approved": true
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1384,
            "pages": 1392,
            "count": 13920
        }
    }
}